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[APP][Wallpaper][2.3.3+] Fluid Paint - a fluid physics simulator

Fluid Paint is a realtime fluid simulator. Touching the screen creates colorful fluidlike substances and vortices on the screen. This app comes with both a regular app gui and a Live Wallpaper!
Features
smoke / water-like animation
loading and dissolving images (free version: predefined images, paid: images from the gallery, photos)
painting solid obstacles
App and Live Wallpaper frontend
different visualization (temperature, velocity, pressure of the fluid ...)
several settings to play around (paid version: saving options)
Download and Community
Download: https://play.google.com/store/apps/details?id=com.zwoelfer.gpu_fluid_free
Community: https://plus.google.com/u/0/communities/114923194926180447460
Screenshots and Videos
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Why is Fluid Paint unique?
There is already great liquid simulation stuff out there on Android (like for instance Fleya, Magic fluids, WindTunnel, ...). Unlike those apps Fluid Paint enables you to load actual images, and liquify them. The free version presented here has some predefined images, and the full version allows you to load images from the sdcard, like for instance photos, which you shot with the camera. (You photographed a person you don't like? Load the image in the full version of Fluid Paint, and watch how the person dissolves on your screen *evilface*).
This core feature is combined with functionality from the above apps like drawing non-liquid obstacles yourself, visualizing different physical properties like the curliness, velocity, pressure or temperature of fluid particles, offering a Live Wallpaper and playing around with a lot of settings and colors.
Implementation
Fluid Paint was implemented entirely in Java using OpenGl ES 2.0. Despite of not using the NDK it is possible to execute the simulation in realtime, because the whole simulation is done in the fragment shaders. Speaking about the physical model used for this application: The simulation is based on the incompressible Navier Stokes equations, a set of equations which governs the way how fluid substances move. You might observe that waves in this application move at finite speed despite of the incompressibility constraint. This is, because the solution of the equations is approximated numerically, and a compromise of quality and simulation speed has to be met.
QR Code

please delete this post

The 10 replies limit is reached, now I could finally add some photos and links.

These wallpapers are unique, I love them!
A planet explotion would be a good addon for you next version!

Fascinating! Is it possible to open an image and pre-simulate it with high resolution and export it as an .avi? That would be great

Very nice app. Anni excellent way to use your fantasy

zalan24 said:
Fascinating! Is it possible to open an image and pre-simulate it with high resolution and export it as an .avi? That would be great
Click to expand...
Click to collapse
At the moment that's not possible. I don't know if implementing this feature for smartphones makes sense, I will think about it

This app is crazy and runs absolutely silky smooth on my Note 3! Never seen anything like it but I have to ask what language and software did you use to program and make the app??

Arbiter7 said:
This app is crazy and runs absolutely silky smooth on my Note 3! Never seen anything like it but I have to ask what language and software did you use to program and make the app??
Click to expand...
Click to collapse
Nice to hear, thank you . I simply used Eclipse with the standard ADT, and used java as a programming language. The only code not in java are the shaders. As I mentioned above the simulation is done exclusively in the fragment shaders. The java code is responsible for gui elements like buttons, menus, and delegates user input to the shaders. Similar apps like Fleya were compiled using the NDK in contrast to my app.

:good::laugh: This app is very cool and i like it!!! Thanks to the developer

cool

Thanks.
Sent from my RichPhone Z2 using Tapatalk

Very nice effect. I would like a live wallpaper like this!
Thanks.

Looks great! :good:

12er said:
Nice to hear, thank you . I simply used Eclipse with the standard ADT, and used java as a programming language. The only code not in java are the shaders. As I mentioned above the simulation is done exclusively in the fragment shaders. The java code is responsible for gui elements like buttons, menus, and delegates user input to the shaders. Similar apps like Fleya were compiled using the NDK in contrast to my app.
Click to expand...
Click to collapse
Ahhhh java xD I love javascript even though it's not related Java not so much haha. Thankfully Unity3D has it's own IDE and is easy to use I recommend it over anything.

Crazy!!
Just awesome! DIdnt know that I was such an artist!! No really great work! You can draw nice pictures in seconds!! But dont do it if youre drunk !

Very nice app

Cool effects. May be author write tutorial about how he did this

Arbiter7 said:
Ahhhh java xD I love javascript even though it's not related Java not so much haha. Thankfully Unity3D has it's own IDE and is easy to use I recommend it over anything.
Click to expand...
Click to collapse
Unity3D would be worth a look. When I realized that I would have to pay like over 1000 $ to render to textures, I didn't continue experimenting with it. But implementing the layer using OpenGl directly in my Android app demonstrated the advantages of using a game/rendering engine like Unity3D. The compatibility of Unity3D to several Android devices is maintained by the team working on Unity3D. In contrast writing glsl shaders and so on yourself leaves you with the problem of keeping your OpenGl code compatible to thousands of Android devices. On some devices it might work, on others the output might just be black due to errors in the drivers ... yes, I had that problem, and had to do some dirty workarounds.

maxdk9 said:
Cool effects. May be author write tutorial about how he did this
Click to expand...
Click to collapse
Ok, this isn't going to be easy. I can tell that you won't understand anything with just one answer. But I like this topic, so I am going to answer the question anyway. Hopefully I can get some of the users here into fluid dynamics Computational fluid dynamics is really cool, and learning some of the basics about it is not very easy for the start, but rewarding in my opinion.
A short overview about the simulation:
The physical Model:
I modelled the fluid as an inviscid incompressible fluid. Fluids are materials which do not resist deformation, such that shear forces are solely caused by friction. At the same time I assumed that the fluid is inviscid, therefore there is no friction between the fluid layers. The incompressibility entails that the fluid's density is equal everywhere.
The motion of such a fluid is governed by the Euler equations (inviscid Navier Stokes equations):
What do those equations mean?
Let's break down the first equation: v is a vector quantity mapping each point in space to the velocity of the particle sitting there. And
is the density, in other words mass per unit volume. The lefthand side of formula (1) has two factors, density
and the term in the brackets. The term in the brackets is equivalent to the acceleration of each particle from the particle's standpoint. So the lefthand side is analogous to "mass times acceleration", hence the equation means that the particles of the fluid change their momentum according to the forces on the right side of the equation.
So the right side of equation (1) is the sum of all forces working on the particles. According to equation (1) two forces are working on each particle: Some force
, where p is the pressure.
retrieves the gradient of a scalarquantity, pointing from lower to higher values. So
is a force accelerating particles away from regions with high pressure. The last summand on the right side is the force caused by gravity, such that f is earth's acceleration.
According to the formula (2) the divergence of velocity v is zero, in other words the particles' trajectories aren't changing in density. So the fluid is incompressible.
Equation (1) is nothing more but a momentum conservation equation, and equation (2) is both an incompressibility constraint and a continuity equation stating that the total mass isn't changing.
The Simulation
For the simulation I implemented a grid based finite difference method. By gridbased I mean that the main datastructure used for the simulation is a twodimensional grid (in contrast particle based methods, where actually individual particles travel through space, are popular too, but for those finding the neighboring particles can get computationally quite expensive). Each gridcell contains all the information about the particle sitting in this cell at a particular moment, like pressure, velocity and color of the particle in the cell. The graphic below demonstrates the structure
Such twodimensional grids can be represented by textures in OpenGl.
The simulation is done by approximating the solutions of equations (1) and (2) iteratively. The solution at a particular point of time is stored in a grid like described above. To calculate the state of the solution after a timeinterval
, we advance forward in time according to the equations above, and update the grid with the new solution. Let's rewrite equation (1) by shifting terms to the right side such that we can do something like forward-Euler in time to approximate solutions:
By splitting this equation into three equations, and solving those in sequence, an approximation of the solution for each timestep can be obtained:
Step 1: Advection - Solving equation (4)
Recall that the lefthand side of equation (1) describes the rate of change of momentum. So equation (4) states that the momentum isn't changing. As a result particles are moving along straight lines at velocity v according to equation (4). Due to the discrete nature of the grid, the actual movement can only be approximated. For more accurate solutions a higher order Runge Kutta method could be deployed, or the MacCormack scheme is very popular, but for simplicity I describe the Forward Euler method, which is closer to intuition: During a timestep
each particle moves from its position p to position
.
But how can straight movement be realized by particles described through a grid? Simply by doing the following for each gridcell: Lookup the velocity v, and copy the data of the particle there, which was at position
before timestep
.
If position
isn't located exactly at the center of a cell (and this will almost always be the case), the data of the cells around this point have to be interpolated. OpenGl can do this for you by for instance bilinearly filtering the textures. Inside the shader it's enough to just lookup the fragmentdata at that particular position, as OpenGl does the interpolation for you, if it's activated.
Step 2: Gravity - Solving equation (5)
Advancing for a timestep
according to equation (5) is actually pretty simple. After that timestep the velocity v changes by acceleration f times timeslot
. So to obey equation (5) the velocity of each grid cell is updated using this formula:
Step 3: Pressure, and making the velocity divergence free - Solving equation (6)
This step is done by calculating the gradient of pressure p at each gridcell, and updating the velocities analogous to the gravity step. But this time it is done by adding the gradient of the pressure times
to the velocity of each gridcell:
But how do we obtain the pressure p? And up to here nothing has been done to keep velocity v divergence free. That's where equation (2) comes in: If we take the divergence of both sides of equation (6), and demand that the velocity
is divergencefree (
) after the timestep, the lefthand side of equation (6) becomes zero. The equation obtained that way is called pressure Poisson equation:
Solving this equation gets us the pressure p, and the pressure has just the right amount to make the velocity divergence-free, if we update the velocity field according to equation (6). So the pressure acts as a quantity which makes the fluid incompressible. That's close to intuition: we try to compress the fluid -> pressure builds up, which makes the fluid resist being compressed.
Discretizing the problem turns equation (7) into large system of linear equations. Luckily the system matrix of those equations is sparse such that its solutions can be approximated efficiently by iterative approaches like Black & White Gauss-Seidel, or the Jacobi method. For simplicity I consider the Jacobi method. Let q be
then q (and therefore pressure p) can be approximated iteratively by updating for q for each gridcell by using this formula:
(To cover three dimensions, we would have to use n=3, and add q_front/behind and v_front/behind ...)
Calculating q would require executing formula (9) repetively until q converges. A trick to spare time, since everything should run in real time: I am reusing q each frame, and running the Jacobi step from formula (9) only two times each frame, such that a very rough approximation of q accumulates over time.
Obviously this whole step is the computationally most expensive step: Calculating q by running the Jacobi step from formula (9) a few times, calculating the pressure p from q according to formula (8), and using the pressure to calculate the gradient to update the velocity according to formula (6) is what has to be done.
Putting it all together
For each frame steps 1 - 3 are run in sequence. That's the basic algorithm, which I used to approximate incomrpessible inviscid flows in my application. By using a threedimensional grid, the simulation could be done for three dimensions! That's where in my opinion it starts to get really exciting, because cloud formations with interesting dynamics, explosions and even the physically correct movement of water bodies could be simulated. It's a pitty that even on high end platforms such simulations require a lot of resources. So I had to stay in two dimensions in my Android app. But I think that a simulation in just two dimensions still demonstrates how wonderful fluid dynamics can be.
Still not convinced that fluid dynamics is an awesome topic? Some images might demonstrate the difference between 2D and 3D fluid dynamics. The first three images are from 2D fluid simulators (my app, magic fluids, fleya):
And the next three images are from 3D fluid simulators (Tall Cell Grid by Chentanez and Müller, vortex particle method by Selle et al., Wavelet Turbulence by Kim et al.):
For further reading I can recommend Nvidia GPU Gems "Fast Fluid Dynamics Simulation on the GPU", "FLUID SIMULATION SIGGRAPH 2007 Course Notes". Those two references cover the approach which I implemented. Those approaches are well enough for computergraphics, but don't provide the accuracy necessary for engineering applications. For "realworld" problems finite volume methods, finite element methods exist. You might have a look at the SIMPLE algorithm.

[APP][3.03+] Z Camera - Photo Editor

Features:
• Real-time Filter – Preview filter effect before taking pictures or shooting videos.
• Amazing Filter – Massive filters available when photographing or photo editing.
• Photo Editor – Beautify your pictures with emoji, doodle, text and more.
• Fastest Capture – Tap! Snap! Z Camera captures it all in 1s.
• Simple Interface – Intuitive interface. One swipe to switch between photo and video.
• HDR – Improve images captured in low-light and backlit scenes.
• Beauty Selfie – One tap to beautify your selfie.
• Private Gallery – Keep your private photo safe.
• Tilt-Shift – Tilt-Shift enables you to control perfect lens blur.

am i the only one cant see the download link?
i just see features here, nothing else
edited :
just found it in play store

Detailed Look into the HONOR View20's 3D Technology

Before the 19th century, drawing and painting were how people recorded the beauty of nature and the important moments of their lives. Later, the invention of the camera allowed for the capturing of more detailed and brilliant images with greater speed and ease. Over the past few years, smartphone photography with innate device portability and advanced technology has quickly become many people's favorite way of freezing and remembering the world.
While imaging speed and resolution have significantly improved, it's all been happening on a two-dimensional plane. Now it's time to move to the third dimension. Augmented reality (AR) and holographic projection have spread their wings recently, but it'll be long before they can truly take flight — not until cost and portability issues are improved.
HONOR phone designers believe 3D is the trend of future tech innovation, and that mobile phones are the best platform for it. That is how the HONOR View20 came into being, as a daring exploration into this field.
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HONOR View20 has included a TOF (Time of Flight) 3D sensor in its rear camera system. With the added depth sensing, skeletal tracking, and real-time motion capturing capabilities enabled by this new sensor, HONOR View20 prides itself as a remarkably slim-bodied 3D transformer with functions like 3D Motion-Controlled Gaming, 3D Shaping, and AR Dancing.
1. TOF 3D technology
Before going into TOF 3D, let's take a brief look at 3D structured light technology, another important step in 3D imagery.
3D structured light technology became better known to the general public thanks to its application on the iPhone X, whose True Depth camera uses a dot projector to send out a large number of light dots and then reads the pattern as they reach the target surface, forming a structural diagram.
The operating principle of TOF 3D is different. As the name "time of flight" suggests, it measures the time it takes light to travel from the sensor to the target and return, and then calculates the distance in-between using that time and the speed of light (a constant). So when plenty of light is emitted to reach almost every point on the surface of the target, all dots can be connected to create a 3D image. You can also picture it as a face mask, which changes shape as you apply it and obtains your facial information.
HONOR View20 designers chose TOF 3D over structured light for the following reasons:
The "surface light" transmitted by TOF 3D is highly sustainable over a long distance, so its working range is far greater than the TrueDepth camera.
The TOF 3D sensor supports a higher frame rate and is therefore more powerful in real-time performance. It is ideal for capturing movement in 3D motion-controlled gaming.
TOF 3D consumes less power in the same amount of time.
The sensor's magic is enhanced by the powerful Kirin 980 processor, granting the HONOR View20 a myriad of 3D functions.
2. 3D Motion-Controlled Gaming
Motion gaming offers more fun and immersion, but was not possible without a gaming console. This now changes with the release of the HONOR View20. Simply connect the phone to a large screen using a dock and a cable, then place the phone so its camera can frame you properly to capture your body information, and you're set to go!
While setting it up sounds easy, its R&D was not. To ensure that the character in the game can follow the player's movements accurately, the HONOR View20 developers wrote a skeletal tracking algorithm, which can identify the real-time location of 15 human joints and calculate the length of bones with an accuracy down to the centimeter level. And TOF Camera is also able to get high-precision body contours data. Then HONOR View20 can obtain the spatial position of different parts of your body, and track their movements and gestures in real time. In a Fancy skiing game, for instance, your arm movements, body swings, and jumps will be accurately identified and transferred onto the screen.
In addition, optimizations such as motion smoothing and motion blur/jitter noise removal further enhance the gaming experience.
All the computing is expertly handled by the world's first 7nm AI chipset, Kirin 980, which comes equipped with the HONOR View20.
Two games are currently supported, Fancy Skiing and Fancy Darts, with more coming in the future. We can't wait to see where the future will take us.
3. Magic AR
Magic AR is another way the HONOR View20 brings together the real and virtual worlds. In this application, there is a function called AR dancing, which adopts the same motion detection principle as 3D motion gaming. AR Dance also incorporates, as its name states, AR algorithms supported by the Kirin 980. They can project a virtual character "next to" you and control it to follow your actions.
A Magic AR app has been developed and will soon be available for download. HONOR will release the news once it's officially in the market.
4. 3D Shaping
In addition to skeletal tracking and real-time motion capturing, the TOF 3D sensor's depth sensing capability also supports 3D Shaping. 3D Shaping is a new feature that reshapes your figure while generating no background distortion, owing to the powerful TOF 3D sensor that can accurately separate the subject and the background.
5. AI Calorie Counting
As people become more aware of the importance of healthy living, they're more closely following how many calories they consume a day. However, calorie information is usually available only on food packaging, so how can we obtain the data when we eat freshly made meals?
AI Calorie Counting was developed for this purpose.
Just open the camera, touch the upper left icon and select Identify, point your lens at the food, and you'll see the data displayed on the screen.
There you'll find not only the calorie count per 100g, but also the volume of the plate of dish you're about to eat and the exact calorie it carries. For example, the HONOR View20 can distinguish a large apple from a smaller one and tell you the calorie count of each, without you having to weigh them before the calculation.
Sounds magical, right? It's actually again achieved by the TOF 3D sensor and the Kirin 980 AI processor, as well as the 48MP main sensor. The three respectively obtain the food volume, food type, and the exact shape and appearance, which are then used for calculations.
6. The Future of TOF 3D Technology
The HONOR View20 is just starting to tap into the enormous potential of TOF 3D. More complex, advanced 3D applications will be gradually brought to life on mobile phones, including human body modeling and architecture modeling. As the Kirin 980 has been most credited for its excellent computing power and AI learning capabilities, the prowess of the processor will be one of the most important factors that fuel the coming 3D technologies.

Can I access the TOF data as a developer?
Hi,
Does Honor make the TOF distance data available to me, as a 3rd-party developer? If not, do you think they will?
cheers!

How the TOF sensor in the Honor View20 powers Magic AR

In January, Honor had this huge event in Paris to show off their new Honor View20. It is a super cool phone with an eye-catching design, great specs, and at a good price. But there was something super special about it, a TOF sensor.
What is a TOF Sensor?
The way a TOF sensor works is interesting. It tracks the distance between two objects based on the constant speed of light. A TOF sensor will emit an array of light, usually lasers, and track each one individually to create a depth map. These depth maps can be updated at high frame rates making it possible to do 3D tracking.
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What makes TOF different from the competition?
You might have heard of something like this in phones like the iPhone X or Xs. The difference is the range. The True Depth camera on the iPhone X is very small and doesn’t refresh as quickly. True Depth is essentially only good for facial recognition. TOF allows for so much more with a way larger range and faster refresh rate.
Why TOF?
All of the advantages of TOF sensors allow it to be used for real-time, accurate 3D tracking. So it can be used for portrait mode, body tracking for gaming, augmented reality, 3D camera sculpting, and more. Honor has pioneered all of these features in the View20. Honor even released a new app that uses the TOF sensor: AR Dancing.
3D Gaming
Honor is the first to have mobile 3D gaming, which is a huge step into the future of gaming. Current devices, especially on mobile, are just playing the game on a phone. 3D gaming actually lets you interact with the world and control a character in real time using body mapping. It brings a new level of immersion into the game that you wouldn’t have otherwise.
One of the demo games to show this off is Fancy Darts. The game uses the 3D TOF sensor on the back of the Honor View20 to track the person in real time and calculate everything about their movements to virtually throw a dart. It would be as if you are actually playing darts, but there are no darts and no board, only the View20 and a TV.
There is also a super cool Honor Gaming Dock you can put your phone in and connect to your TV for a more console-like experience.
Another game Honor released for the TOF sensor is Fancy Skiing. The game will track your movement while you lean back and forth to navigate through the slopes in the game. This uses the same 3D tracking through the TOF sensor on the back. You just connect your View20 to a TV or monitor using a USB Type-C to HDMI cable, an HDMI Dock, or use wireless projection and get started.
AR Dancing and Magic AR
AR Dancing is a very cool new feature. It will use the 3D TOF sensor on the back of the phone to track you as you move or dance and mimic your movements onto a 3D character of your choosing. There are 4 cool characters, a robot, an Honor fan, Santa, and a reindeer.
This is done in an app called Magic AR. It tracks your movement with the TOF sensor and tracks 15 different points of movement on you, the subject. All your movement can then be seen in AR and recorded to be shared on all your social media accounts.
Magic AR demo
President of Honor George Zhao demoed this feature not too long ago. He showed himself dancing with the Honor fan character. The 3D TOF sensor was able to mimic his exact movements and recreate his dance in AR right next to him.
https://www.facebook.com/GeorgeZhaoHonor/videos/2322926881285754/?t=0
The Power of Kirin
All of this is powered by the Kirin 980. This chip was designed for new AR experiences just like this. It just happens to be the first publicly available 7nm chipset. It keeps cool and is super efficient. The View20 is also a phone along with a gaming beast so it, of course, has amazing power efficiency and battery life.
I already have the Honor View20, how do I get Magic AR?
Magic AR is actually already available on the Huawei App Gallery. You can download it straight from there and check it out on your Honor View20.
Wow
All of this used to take lots of cameras or expensive tracking arrays, but Honor was able to build this all into a reasonably priced phone. The device actually starts at £499.99 in Europe but the prices might vary in other locations.
We thank Honor for sponsoring this post. Our sponsors help us pay for the many costs associated with running XDA, including server costs, full time developers, news writers, and much more. While you might see sponsored content (which will always be labeled as such) alongside Portal content, the Portal team is in no way responsible for these posts. Sponsored content, advertising and XDA Depot are managed by a separate team entirely. XDA will never compromise its journalistic integrity by accepting money to write favorably about a company, or alter our opinions or views in any way. Our opinion cannot be bought.

XDARoni said:
In January, Honor had this huge event in Paris to show off their new Honor View20. It is a super cool phone with an eye-catching design, great specs, and at a good price. But there was something super special about it, a TOF sensor.
What is a TOF Sensor?
The way a TOF sensor works is interesting. It tracks the distance between two objects based on the constant speed of light. A TOF sensor will emit an array of light, usually lasers, and track each one individually to create a depth map. These depth maps can be updated at high frame rates making it possible to do 3D tracking.
What makes TOF different from the competition?
You might have heard of something like this in phones like the iPhone X or Xs. The difference is the range. The True Depth camera on the iPhone X is very small and doesn’t refresh as quickly. True Depth is essentially only good for facial recognition. TOF allows for so much more with a way larger range and faster refresh rate.
Why TOF?
All of the advantages of TOF sensors allow it to be used for real-time, accurate 3D tracking. So it can be used for portrait mode, body tracking for gaming, augmented reality, 3D camera sculpting, and more. Honor has pioneered all of these features in the View20. Honor even released a new app that uses the TOF sensor: AR Dancing.
3D Gaming
Honor is the first to have mobile 3D gaming, which is a huge step into the future of gaming. Current devices, especially on mobile, are just playing the game on a phone. 3D gaming actually lets you interact with the world and control a character in real time using body mapping. It brings a new level of immersion into the game that you wouldn’t have otherwise.
One of the demo games to show this off is Fancy Darts. The game uses the 3D TOF sensor on the back of the Honor View20 to track the person in real time and calculate everything about their movements to virtually throw a dart. It would be as if you are actually playing darts, but there are no darts and no board, only the View20 and a TV.
There is also a super cool Honor Gaming Dock you can put your phone in and connect to your TV for a more console-like experience.
Another game Honor released for the TOF sensor is Fancy Skiing. The game will track your movement while you lean back and forth to navigate through the slopes in the game. This uses the same 3D tracking through the TOF sensor on the back. You just connect your View20 to a TV or monitor using a USB Type-C to HDMI cable, an HDMI Dock, or use wireless projection and get started.
AR Dancing and Magic AR
AR Dancing is a very cool new feature. It will use the 3D TOF sensor on the back of the phone to track you as you move or dance and mimic your movements onto a 3D character of your choosing. There are 4 cool characters, a robot, an Honor fan, Santa, and a reindeer.
This is done in an app called Magic AR. It tracks your movement with the TOF sensor and tracks 15 different points of movement on you, the subject. All your movement can then be seen in AR and recorded to be shared on all your social media accounts.
Magic AR demo
President of Honor George Zhao demoed this feature not too long ago. He showed himself dancing with the Honor fan character. The 3D TOF sensor was able to mimic his exact movements and recreate his dance in AR right next to him.
https://www.facebook.com/GeorgeZhaoHonor/videos/2322926881285754/?t=0
The Power of Kirin
All of this is powered by the Kirin 980. This chip was designed for new AR experiences just like this. It just happens to be the first publicly available 7nm chipset. It keeps cool and is super efficient. The View20 is also a phone along with a gaming beast so it, of course, has amazing power efficiency and battery life.
I already have the Honor View20, how do I get Magic AR?
Magic AR is actually already available on the Huawei App Gallery. You can download it straight from there and check it out on your Honor View20.
Wow
All of this used to take lots of cameras or expensive tracking arrays, but Honor was able to build this all into a reasonably priced phone. The device actually starts at £499.99 in Europe but the prices might vary in other locations.
We thank Honor for sponsoring this post. Our sponsors help us pay for the many costs associated with running XDA, including server costs, full time developers, news writers, and much more. While you might see sponsored content (which will always be labeled as such) alongside Portal content, the Portal team is in no way responsible for these posts. Sponsored content, advertising and XDA Depot are managed by a separate team entirely. XDA will never compromise its journalistic integrity by accepting money to write favorably about a company, or alter our opinions or views in any way. Our opinion cannot be bought.
Click to expand...
Click to collapse
I need to know how can I get Huawei ar engine in my honor view 20 to play magic ar app ..it said that install ar engine first
Thanks for your help

[APP][+5.0] Ucam - Vintage Camera - Retro Filter - Old Photo

Ucam - Vintage Camera - Retro Filter - Old Photo is the best vintage camera bring you back to period of the 90s by the pictures with an old-style effect like analog filter, film fiter, lomo filter, classic filter, retro filter.. and mix with dust effect and light leak,...
https://play.google.com/store/apps/details?id=vintage.filter.camera
Ucam - Vintage Camera is forward to people who want to relive moments pass of 90s, a lot of helpful built-in features help us filter photo with vintage effects
Ucam - Vintage Camera - Retro Filter Key features
- 50+ filter effect: lomo effect, film effect, retro effect, analog, black & white...
- 50+ light leak filter
- Support watermark timestamp on picture
- 30+ film scratches and dust filter
- Adjust brightness, vintage, temperature, contrast
- Self-time
- Preview picture before saving
- Take a photo with living effect or editing exits pictures on your phone
- 20+ old style texture
? Ucam - Vintage Camera - Old photo is the newest app in 2020, we always try out best to give our customer the best vintage camera application.
? What you just to do is just open Ucam - Vintage Camera and choose filter what you want to use and take a picture, very easy to have a photo with retro effect and dust filter. Also, if you want to re-design the existing picture, you can use Vintage Camera - Retro Filter to do that. How to use? Open Vintage Camera - Retro Filter app and click on the small picture on the right. Grad a photo and choose vintage filter: black & white, retro effect, lomo filter, light leak, dust effect...
? Download right now to own the best camera app 90s with a lot of vintage filter effect like retro effect, analog effect, dust filter
Open Ucam - Vinatage Camera - Retro Effect - Old Photo to make the best vintage photo for you.