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» Image Based Rendering and General Relativity
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CVPR
2012
IEEE
11 years 10 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
CVPR
2012
IEEE
11 years 10 months ago
Depth from optical turbulence
Turbulence near hot surfaces such as desert terrains and roads during the summer, causes shimmering, distortion and blurring in images. While recent works have focused on image re...
Yuandong Tian, Srinivasa G. Narasimhan, Alan J. Va...
ICRA
2007
IEEE
164views Robotics» more  ICRA 2007»
14 years 2 months ago
Real Time Biologically-Inspired Depth Maps from Spherical Flow
— We present a strategy for generating real-time relative depth maps of an environment from optical flow, under general motion. We achieve this using an insect-inspired hemisphe...
Chris McCarthy, Nick Barnes, Mandyam Srinivasan
ICIP
2008
IEEE
14 years 2 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
WWW
2009
ACM
14 years 8 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua