Software

Efficient local image descriptors
SPIGA facial landmarks detector- You can find the inference code and SPIGA models in our In github repo,
Efficient segments detection
ELSED efficient line segments detection source code. It is extremely fast and can jump over edge discontinuities. Check the online demo.
Efficient local image descriptors
TEBLID efficient local descriptor source code, and documentation in OpenCV. It is extremely fast and working even better than BEBLID.

Our HashSIFT is a binarization of SIFT descriptor. It works pretty well and can be found in our github repo.
Implementation of "Boosting Sex Identification Performance" IJCV paper (Baluja-Rowley) matlab toolbox. In this toolbox we have implemented the Baluja and Rowley's IJCV paper (see [Baluja07]). All publications and works that use this toolbox must reference our PAMI 2011 paper [Bekios-Calfa2011].
Efficient local image descriptors
SSD-based plane tracking matlab toolbox. In this toolbox we have implemented our Jacobian matrix factorisation for the projective motion model (see [Buenaposada02b] and [Hager98]). To test it out of the box, you should download the chessboard calibration template sequence (320x240 images) and decompress it over the same directory as the matlab toolbox (see the README.txt). All publications and works that use this toolbox must reference our ICPR 2002 paper [Buenaposada02b].