The goal of this paper is to offer a framework for image classification "by type". For example, one may want to classify an image of a certain office as man-made ? as op...
In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to r...
Virtually all existing classification techniques label one sample at a time. In this paper, we highlight the potential benefits of group based classification (GBC), where the clas...
We compare three Computer Vision approaches to 3-D reconstruction, namely passive Binocular Stereo and active Structured Lighting and Photometric Stereo, in application to human f...
Alexander Woodward, Da An, Georgy L. Gimel'farb, P...
This paper addresses the problem of camera calibration using object silhouettes in image sequences. It is known that silhouettes encode information on camera parameters by the fact...