This paper investigates the design of a system for recognizing
objects in 3D point clouds of urban environments.
The system is decomposed into four steps: locating, segmenting,
...
Aleksey Golovinskiy, Vladimir G. Kim, Thomas Funkh...
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
We propose a new algorithm for two-phase, piecewise-smooth segmentation with shape prior. The image is segmented by a binary template that is deformed by a regular geometric transf...
Benoit Mory, Laurent D. Cohen, Oudom Somphone, Sh&...
Abstract. A novel algorithm is presented for the 3D reconstruction of human action in long (> 30 second) monocular image sequences.A sequence is represented by a small set of au...
Gareth Loy, Martin Eriksson, Josephine Sullivan, S...