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» Learning Object Shape: From Drawings to Images
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ICIP
2001
IEEE
15 years 11 months ago
Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Mark Everingham, Barry T. Thomas
CVPR
2007
IEEE
15 years 12 months ago
Learning to Detect A Salient Object
We study visual attention by detecting a salient object in an input image. We formulate salient object detection as an image segmentation problem, where we separate the salient obj...
Tie Liu, Jian Sun, Nanning Zheng, Xiaoou Tang, Heu...
ICCV
2007
IEEE
15 years 11 months ago
Spatio-Temporal Shape from Silhouette using Four-Dimensional Delaunay Meshing
We propose a novel method for computing a fourdimensional (4D) representation of the spatio-temporal visual hull of a dynamic scene, based on an extension of a recent provably cor...
Ehsan Aganj, Jean-Philippe Pons, Florent Sé...
CVPR
2003
IEEE
15 years 12 months ago
Shape and Materials by Example: A Photometric Stereo Approach
This paper presents a technique for computing the geometry of objects with general reflectance properties from images. For surfaces with varying material properties, a full segmen...
Aaron Hertzmann, Steven M. Seitz
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
15 years 1 months ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman