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» Randomness and Geometric Features in Computer Vision
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CVPR
2010
IEEE
13 years 10 months ago
Bundled Depth-Map Merging for Multi-View Stereo
Depth-map merging is one typical technique category for multi-view stereo (MVS) reconstruction. To guarantee accuracy, existing algorithms usually require either sub-pixel level s...
Jianguo Li
WSCG
2003
209views more  WSCG 2003»
13 years 8 months ago
3D Reconstruction of Sports Events for Digital TV
As the capabilities of video standards and receiver hardware are increasing towards integrated 3d animations, generating realistic content is now becoming a limiting factor. In th...
C. Malerczyk, K. Klein, Torsten Wiebesiek
ECCV
2010
Springer
13 years 7 months ago
Membrane Nonrigid Image Registration
We introduce a novel nonrigid 2D image registration method that establishes dense and accurate correspondences across images without the need of any manual intervention. Our key in...
Geoffrey Oxholm, Ko Nishino
TROB
2008
168views more  TROB 2008»
13 years 7 months ago
A Minimalistic Approach to Appearance-Based Visual SLAM
This paper presents a vision-based approach to SLAM in indoor / outdoor environments with minimalistic sensing and computational requirements. The approach is based on a graph repr...
Henrik Andreasson, Tom Duckett, Achim J. Lilientha...
ICCV
2009
IEEE
13 years 5 months ago
SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter
Geometric verification with RANSAC has become a crucial step for many local feature based matching applications. Therefore, the details of its implementation are directly relevant...
Torsten Sattler, Bastian Leibe, Leif Kobbelt