Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emis...
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, ...
Abstract. In human face recognition, different facial regions have different degrees of importance, and exploiting such information would hopefully improve the accuracy of the reco...
Generally the bag-of-words based image representation
follows a bottom-up paradigm. The subsequent stages of the
process: feature detection, feature description, vocabulary
cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
Abstract. The paper describes a fast system for appearance based image recognition . It uses local invariant descriptors and efficient nearest neighbor search. First, local affine ...