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» Uncertainty Modeling for Optimal Structure from Motion
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CVPR
2012
IEEE
13 years 2 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...
BC
2005
78views more  BC 2005»
14 years 11 months ago
Velocity constancy and models for wide-field visual motion detection in insects
The tangential neurons in the lobula plate region of the flies are known to respond to visual motion across broad receptive fields in visual space. When intracellular recordings ar...
Patrick A. Shoemaker, David C. O'Carroll, A. D. St...
CVPR
2000
IEEE
16 years 1 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
BC
1999
94views more  BC 1999»
14 years 11 months ago
Speed tuning in elementary motion detectors of the correlation type
A prominent model of visual motion detection is the so-called correlation or Reichardt detector. Whereas this model can account for many properties of motion vision, from humans to...
Johannes M. Zanker, M. V. Srinivasan, Martin Egelh...
ECCV
2010
Springer
14 years 9 months ago
Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection
Abstract. This paper presents a novel descriptor for human detection in video sequence. It is referred to as spatial-temporal granularity -tunable gradients partition (STGGP), whic...
Yazhou Liu, Shiguang Shan, Xilin Chen, Janne Heikk...