jsfeat
JavaScript Computer Vision library
The project aim is to explore JS/HTML5 possibilities using modern & state-of-art computer vision algorithms.
Examples and Documentation
Features
- Custom data structures
- Basic image processing methods (grayscale, derivatives, box-blur, resample, etc.)
- grayscale (Demo)
- box blur (Demo)
- gaussian blur (Demo)
- equalize histogram (Demo)
- canny edges (Demo)
- sobel deriv (Demo)
- scharr deriv (Demo)
- find more at Examples and Documentation page
- Linear Algebra module
- LU (Gaussian elimination) solver
- Cholesky solver
- SVD decomposition, solver and pseudo-inverse
- Eigen Vectors and Values
- Multiview module (Demo)
- Affine2D motion kernel
- Homography2D motion kernel
- RANSAC motion estimator
- LMEDS motion estimator
- Matrix Math module for various matrix operation such as traspose, multiply etc.
- Features 2D
- Fast Corners feature detector (Demo)
- YAPE06 feature detector (Demo)
- YAPE feature detector (Demo)
- ORB feature descriptor (Demo)
- Lucas-Kanade optical flow (Demo - click to add points)
- HAAR object detector (Demo)
- BBF object detector (Demo)