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ICCV
2009
IEEE
16 years 11 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
CVPR
1999
IEEE
16 years 8 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
CVPR
2004
IEEE
16 years 8 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
CVPR
2005
IEEE
16 years 8 months ago
Accurate Motion Layer Segmentation and Matting
Given a video sequence, obtaining accurate layer segmentation and alpha matting is very important for various applications. However, when a non-textured or smooth area is present ...
Jiangjian Xiao, Mubarak Shah
CVPR
2006
IEEE
16 years 8 months ago
Context and Hierarchy in a Probabilistic Image Model
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
Ya Jin, Stuart Geman