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» Bayesian Estimation of Layers from Multiple Images
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PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
14 years 3 months ago
Recognizing Multiple Objects via Regression Incorporating the Co-occurrence of Categories
Abstract. Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single category, although objects from multiple...
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani, Yoichi...
CVPR
1997
IEEE
14 years 1 months ago
Model-based brightness constraints: on direct estimation of structure and motion
ÐWe describe a new direct method for estimating structure and motion from image intensities of multiple views. We extend the direct methods of Horn and Weldon [18] to three views....
Gideon P. Stein, Amnon Shashua
IJCV
2000
161views more  IJCV 2000»
13 years 9 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
CLEAR
2006
Springer
176views Biometrics» more  CLEAR 2006»
14 years 24 days ago
Head Pose Detection Based on Fusion of Multiple Viewpoint Information
Abstract. This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multipl...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
CVPR
2008
IEEE
14 years 11 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji