marcopashkov / jsfeat

JavaScript Computer Vision library.

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)
• Lucas-Kanade optical flow (Demo - click to add points)
• HAAR object detector (Demo)
• BBF object detector (Demo)