In order to utilize the app, the latest version of OpenCV Manager (also found on Google Play) must be downloaded and installed correctly. This app has been successfully tested on Android 2.3.4 and Android 4.3.
At the moment this can considered an initial tech demo, please feel free to play around with it. The source code for this implementation can also be found in github link below!
This app compares the reference image to the images in the added list. It uses ORB feature detector with BRIEF descriptor extractors. It uses BRUTEFORCE_HAMMING method to match the descriptors. Also, based on preference, app can also check the homography of the matched keypoints with LMED (least of median squares) and remove the outliners to give a better result.
How to use:
1 - Move the vision wherever you want, take pics along the way by using ADD button.
2 - You can also take a reference picture, that you want to be recognized. When you click it, it will be shown on the right of the camera view.
3 - When you are done, and make sure you have added images and have a reference image, click the Find Match button. It will calculate the keypoints of each image and the reference image and apply the matching algorithm.
4 - After matching and comparing, it will show the best match among all matches.
5 - You can also use Homography Off/On switch to provide more accurate results.
6 - Also, you can use Images only/with matches switch to show which keypoints are matched. REMEMBER, you have to click find match again to see the effect of Homography and Matches switch.
This app is still in development, actually being used by another project but I put it on for cool demonstration!
Source code available: https://github.com/mustafaakin/image-matcher
We parallelized the algorithm using the Vector Fabrics Pareon tool. The results are shown for single, two and four application threads.
This demo should be run on dual or quad core machines.
This demo is only interesting to programmers who need to write parallelized C or C++ code.
OpenCV Manager needed . If not installed, the application will ask download.
It takes at least two faces saved so you can begin to recognize
Training Mode: Write the name of the person, focus and when it begins to appear a box locating a face press "Rec". Press Rec repeatedly to store different gestures
Find mode. Focus on one face and if recognized, its name appears. An icon will appear green, yellow or red depending on the degree of confidence in recognizing
Button "View All": See the faces stored.
+ Version 2.2: Storage moved to internal storage.
Source code: https://github.com/ayuso2013/face-recognition
Modes currently supported:
-HDR Capture & Tonemapping
-Neon Gradient Edges
ViewerCV is simply an *open source* demo app for fun...
!! There is no point to it !!
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HowTo (Button info):
-'Menu' changes effect
-'Mode' cycles options for that effect
-'Menu>Settings' adjust resolution
There is no icon for the plugin in app drawer , and it cannot be launched from outside hide it pro app.
How to Use ?
Works with Hide it pro version >= 18.104.22.168
You must be using Pin Type of lock screen
Whitelist this plugin from your Task Manager / Task Killer app
In Hide it pro
Go to settings --> Advanced Settings --> Hide App Icon
Then tap on it , scroll down on the next screen
Tap on Hide App Icon , then click Save
Voila. Hide it pro icon is now hidden
To launch the hide it pro app , dial ## followed by your pin code
If anything goes wrong ? just uninstall and reinstall the hide it pro app , your data will not be deleted in the process.
Project Website: http://boofcv.org
For instructions and a more detailed explanation:
Full source code: