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CVPR
2011
IEEE
15 years 26 days ago
Object Stereo - Joint Stereo Matching and Object Segmentation
This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially cohere...
Michael Bleyer, Carsten Rother, Pushmeet Kohli, Da...
CVPR
2012
IEEE
13 years 7 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
ECCV
2008
Springer
16 years 6 months ago
Light-Efficient Photography
We consider the problem of imaging a scene with a given depth of field at a given exposure level in the shortest amount of time possible. We show that by (1) collecting a sequence ...
Samuel W. Hasinoff, Kiriakos N. Kutulakos
ICPR
2010
IEEE
15 years 8 months ago
Quasi-Dense Wide Baseline Matching for Three Views
This paper proposes a method for computing a quasi-dense set of matching points between three views of a scene. The method takes a sparse set of seed matches between pairs of view...
Pekka Koskenkorva, Juho Kannala, Sami Sebastian Br...
IVC
2008
138views more  IVC 2008»
15 years 4 months ago
Reconstructing relief surfaces
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
George Vogiatzis, Philip H. S. Torr, Steven M. Sei...