We describe a higher-orderspectralanalysis-basedapproach for detecting people by recognizing human motion such as walking or running. The periodic attribute of human motion lends ...
In this paper, we propose a novel technique to represent and recover optical flow through free form deformations. Such a technique is based on representing the motion field usin...
We introduce two fourth-order regularization methods that remove geometric noise without destroying significant geometric features. These methods leverage ideas from image denoisi...
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...