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ECCV
2006
Springer
16 years 8 months ago
Learning and Incorporating Top-Down Cues in Image Segmentation
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
Xuming He, Richard S. Zemel, Debajyoti Ray
ECCV
2006
Springer
16 years 8 months ago
Resolution-Enhanced Photometric Stereo
Abstract. Conventional photometric stereo has a fundamental limitation that the scale of recovered geometry is limited to the resolution of the input images. However, surfaces that...
Ping Tan, Stephen Lin, Long Quan
ECCV
2002
Springer
16 years 8 months ago
Factorial Markov Random Fields
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
Junhwan Kim, Ramin Zabih
ECCV
2002
Springer
16 years 8 months ago
Finding the Largest Unambiguous Component of Stereo Matching
Abstract. Stereo matching is an ill-posed problem for at least two principal reasons: (1) because of the random nature of match similarity measure and (2) because of structural amb...
Radim Sára
ECCV
2000
Springer
16 years 8 months ago
Quasi-Random Sampling for Condensation
The problem of tracking pedestrians from a moving car is a challenging one. The Condensation tracking algorithm is appealing for its generality and potential for real-time implemen...
Vasanth Philomin, Ramani Duraiswami, Larry S. Davi...