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» Object Recognition Using Segmentation for Feature Detection
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ICCV
2005
IEEE
16 years 8 months ago
A Generative/Discriminative Learning Algorithm for Image Classification
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Yi Li, Linda G. Shapiro, Jeff A. Bilmes
ECCV
2004
Springer
16 years 8 months ago
A Feature-Based Approach for Determining Dense Long Range Correspondences
Planar motion models can provide gross motion estimation and good segmentation for image pairs with large inter-frame disparity. However, as the disparity becomes larger, the resul...
Josh Wills, Serge Belongie
ICIP
2002
IEEE
16 years 8 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...
ECCV
2006
Springer
16 years 8 months ago
A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint
Occlusion and lack of visibility in dense crowded scenes make it very difficult to track individual people correctly and consistently. This problem is particularly hard to tackle i...
Saad M. Khan, Mubarak Shah
ICIP
2007
IEEE
16 years 29 days ago
Corner Detection of Contour Images using Spectral Clustering
Corner detection plays an important role in object recognition and motion analysis. In this paper, we propose a hierarchical corner detection framework based on spectral clusterin...
Xi Li, Weiming Hu, Zhongfei Zhang