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» Object Structure from Noisy Images
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ICIP
2008
IEEE
14 years 10 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
ICVGIP
2004
13 years 10 months ago
Learning Layered Pictorial Structures from Video
We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
CVPR
2008
IEEE
14 years 3 months ago
Learning a geometry integrated image appearance manifold from a small training set
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
Yilei Xu, Amit K. Roy Chowdhury
FGIT
2009
Springer
14 years 3 months ago
Object Surface Reconstruction from One Camera System
In this paper, there is introduced an approach to surface reconstruction of an object captured by one grayscale camera with a small resolution. The proposed solution expects a rec...
Radim Dvorak, Martin Drahanský, Filip Ors&a...
CG
2002
Springer
13 years 8 months ago
Shape reconstruction from partially missing data in modal space
To reconstruct the shape of objects from incomplete point sets or noisy images, robust and accurate reconstruction methods are required. This paper presents a physics-based approa...
Soo-Mi Choi, Myoung-Hee Kim