jsfeat
======
$3
The project aim is to explore JS/HTML5 possibilities using modern & state-of-art computer vision algorithms.
Examples and Documentation
$3
* 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)