Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
We present a novel face recognition method using automatically extracted sketch by a multi-layer grammatical face model. First, the observed face is parsed into a 3layer (face, pa...
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...