Demonstration of several computer vision techniques provided by BoofCV
1) Image Processing (blur, edge, binary, enhancement, 360 photo)
2) Segmentation (superpixels, thresholding, color)
3) Detection (corner, SURF, SIFT, line, shapes)
4) Image Association (nearest-neighbor)
5) Tracking (KLT, object tracking, motion detection)
6) Camera Calibration (chessboard, circles, squares, ECoCheck)
7) Recognition (QR Code, Micro QR Code, CNN, fiducial markers)
8) Structure from Motion ( stereo disparity, mosaic/stabilization, photogrammetry),
Project Website: http://boofcv.org
For instructions and a more detailed explanation:
http://peterabeles.com/blog/?p=204
Full source code:
https://github.com/lessthanoptimal/BoofAndroidDemo
I had never heard of computer vision nor did I know the capabilities of an app designer. Being as I know very little about computer vision I'm still skeptical but, seems like a great tool that'll grow into hopefully something that doesn't harm people.
Very interesting app. There is a lot of potential and some really cool demos. Some of the most intriguing demos unfortunately break down pretty quickly, I suspect it's a device issue. I'm hopeful to see where this goes.
This is the only app i found on Google Play that is able to perform Camera Calibration for Android devices in order to extract the intrinsic parameters of the phone's camera, and it worked perfectly! Great application.
BoofCV is an excellent computer vision package and deserves more exposure . Nice showcase here- overall I have found it a great replacment / alternative to OpenCV
Marvelous as usual
Awesome tools and examples
Awesome tools and examples
- Fixed app name not showing up in launcher
- QR or Micro QR
* Made it more clear when the list view truncate the message
* Added button to invert the image
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