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This program glues images to get a bigger and better image from a sequence of small images. Its use low resolution images taken from mobile devices. The images doesn't have to be perfectly aligned because the software will align them. The current version is ... [More]
A lightweight python wrapper for sift++ (a C++ implementation of the Scale-Invariant Feature Transform) which takes an image and returns a list of SIFT descriptors. Note: The SIFT algorithm has a patent as described below (from http://vision.ucla.edu/~vedaldi/code/siftpp/siftpp.html) This ... [More]
This software uses the SIFT algorithm, combined with a neural network, to do image processing and image recognition.
Library Last Updated 18/03/2010All downloads are now hosted on my projects siteIf you're looking for the latest build of the OpenSURF library, you'll find it at Chris Evans Development. You'll also find papers on the OpenSURF library along with links to applications which use the ... [More]
Java implementation on speeded up robust features SURF. SURF (Speeded Up Robust Features) is a robust image descriptor, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired by the SIFT ... [More]
The major objective of the project is: Given an image, to find its duplicated and near-duplicated images in an indexed image library. The core algorithm will written in C++, and provides a dll and some other APIs in different languages. The project is powered by SIFT an LSH (E2LSH).
The VLFeat open source library implements popular computer vision algorithms including SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout.