417 search results - page 76 / 84 » Supervised Image Segmentation Using Markov Random Fields |
IJCAI
2007
14 years 11 months ago
2007
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
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...
108
click to vote
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
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...
NIPS
2008
14 years 11 months ago
2008
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...
3DIM
2005
IEEE
15 years 3 months ago
2005
IEEE
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...