Here you can find some free resources created during my research work. Note that the code is provided “as is” without warranity of any kind.
The Matlab INFace toolbox v2.1
The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byproduct of the research work presented here. It includes implementations of several state-of-the-art photometric normalization techniques as well as a number of histogram manipulation functions, which can be useful for the task of illumination invariant face recognition.
Available from: INFace homepage, Matlab central
Documentation: PDF
The PhD face recognition toolbox
The PhD (Pretty helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byproduct of the research work presented here and here. It includes implementations of several state-of-the-art face recognition techniques as well as a number of demo scripts, which can be extremely useful for beginners in the field of face recognition.
Available from: PhD toolbox homepage, Matlab central
Documentation: PDF
Annotated Web Ears (AWE) toolbox and dataset
Annotated Web Ears (AWE) is a dataset of ear images gathered from the web and in the current form contains 1000 ear images of 100 distinct subjects. The dataset was collected for the goal of studying unconstrained ear recognition and is made publicly available to the community. The dataset comes with a Matlab toolbox dedicated to research in ear recognition. The AWE toolbox implements several state-of-the-art ear recognition techniques and allows for rapid experimentation with the AWE dataset.
Available from: AWE homepage