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)