The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
First IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000). There is considerable evidence that object recognition in primates is based o...
Sociobiologists collect huge volumes of video to study animal behavior (our collaborators work with 30,000 hours of video). The scale of these datasets demands the development of ...
Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, D...
We propose a change detection method which is robust against illumination change and requires little background learning as a result of using texture based features. We propose Pe...
Global illumination simulates all transfers of light in a scene. The results of the simulation are then used to generate photo-realistic images. Scenes with diffuse surfaces only c...