The human visual system is often able to recognize shading patterns and to discriminate them from surface reflectance patterns. To understand how this ability is possible, we inv...
We describe a method to segment rectangular objects that lie on a slightly textured background of an a-priori unknown colour. Our contribution consists of a fast and accurate back...
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Bare-earth identification selects points from a LiDAR point cloud so that they can be interpolated to form a representation of the ground surface from which structures, vegetatio...
Wei-Lwun Lu, James J. Little, Alla Sheffer, Hongbo...
In this paper, we propose a novel method for the automatic segmentation of a foreground layer from a natural scene in real time by fusing infrared, color and edge information. Thi...
We propose an efficient technique for normal map acquisition, using a cheap and easy to build setup. Our setup consists solely of off-the-shelf components, such as an LCD screen,...
Yannick Francken, Chris Hermans, Tom Cuypers, Phil...
Methods for reconstructing photorealistic 3D graphics models from images or video are appealing applications of computer vision. Such methods rely on good input image data, but th...
This paper introduces a novel iterative approach to estimating local phase coherence in situations characterized by low signal-to-noise ratios. Local phase coherence is used for a...
This paper describes a technique, called V-Mirroring, for integrating videos taken from different cameras with different viewpoints of the same scene. The term V-Mirroring stems f...