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CVPR
2000
IEEE
16 years 8 months ago
Reconstruction of a Scene with Multiple Linearly Moving Objects
We describe an algorithmfor reconstructing a scene containing multiple moving objects. Given a monocular image sequence, we recover the scene structure, the trajectories of the mo...
Mei Han, Takeo Kanade
CVPR
2004
IEEE
16 years 8 months ago
Recovering Human Body Configurations: Combining Segmentation and Recognition
The goal of this work is to take an image such as the one in Figure 1(a), detect a human figure, and localize his joints and limbs (b) along with their associated pixel masks (c)....
Greg Mori, Xiaofeng Ren, Alexei A. Efros, Jitendra...
CVPR
2005
IEEE
16 years 8 months ago
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
This paper considers the objectives of accurate stereo matching, especially at object boundaries, robustness against recording or illumination changes and efficiency of the calcul...
Heiko Hirschmüller
CVPR
2005
IEEE
16 years 8 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
ICCV
2007
IEEE
16 years 8 months ago
How Good are Local Features for Classes of Geometric Objects
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Michael Stark, Bernt Schiele