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» Decomposition of range images using markov random fields
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CVPR
2005
IEEE
14 years 9 months ago
Object Detection Using 2D Spatial Ordering Constraints
Object detection is challenging partly due to the limited discriminative power of local feature descriptors. We amend this limitation by incorporating spatial constraints among ne...
Yan Li, Yanghai Tsin, Yakup Genc, Takeo Kanade
CVPR
2004
IEEE
14 years 9 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
CVPR
2009
IEEE
15 years 2 months ago
Manhattan-world Stereo
Multi-view stereo (MVS) algorithms now produce reconstructions that rival laser range scanner accuracy. However, stereo algorithms require textured surfaces, and therefore work ...
Brian Curless, Richard Szeliski, Steven M. Seitz, ...
NIPS
2008
13 years 9 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
3DIM
2005
IEEE
14 years 1 months ago
A MRF Formulation for Coded Structured Light
Multimedia projectors and cameras make possible the use of structured light to solve problems such as 3D reconstruction, disparity map computation and camera or projector calibrat...
Jean-Philippe Tardif, Sébastien Roy