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» Covariant Derivatives and Vision
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CVPR
2012
IEEE
13 years 7 days 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
CVPR
2012
IEEE
13 years 7 days ago
Discovering and exploiting 3D symmetries in structure from motion
Many architectural scenes contain symmetric or repeated structures, which can generate erroneous image correspondences during structure from motion (Sfm) computation. Prior work h...
Andrea Cohen, Christopher Zach, Sudipta N. Sinha, ...
CVPR
2012
IEEE
13 years 7 days ago
Synthesizing oil painting surface geometry from a single photograph
We present an approach to synthesize the subtle 3D relief and texture of oil painting brush strokes from a single photograph. This task is unique from traditional synthesize algor...
Wei Luo, Zheng Lu, Xiaogang Wang, Ying-Qing Xu, Mo...
GIS
2004
ACM
15 years 10 months ago
Road extraction from motion cues in aerial video
Aerial video provides strong cues for automatic road extraction that are not available in static aerial images. Using stabilized (or geo-referenced) video data, capturing the dist...
Robert Pless, David Jurgens
ICIP
2003
IEEE
15 years 11 months ago
Image features that draw fixations
The ability to automatically detect `visually interesting' regions in an image has many practical applications especially in the design of active machine vision systems. This...
Umesh Rajashekar, Lawrence K. Cormack, Alan C. Bov...