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» Dense Structure from a Dense Optical Flow Sequence
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CVPR
2010
IEEE
15 years 2 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
CVPR
2010
IEEE
15 years 10 months ago
Probabilistic 3D Occupancy Flow with Latent Silhouette Cues
In this paper we investigate shape and motion retrieval in the context of multi-camera systems. We propose a new lowlevel analysis based on latent silhouette cues, particularly su...
Li Guan, Jean-Sebastien Franco, Edmond Boyer, Marc...
ECCV
2004
Springer
16 years 3 months ago
On Refractive Optical Flow
This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object fr...
Sameer Agarwal, Satya P. Mallick, David J. Kriegma...
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CVPR
2007
IEEE
16 years 3 months ago
Toward Flexible 3D Modeling using a Catadioptric Camera
Fully automatic 3D modeling from a catadioptric image sequence has rarely been addressed until now, although this is a long-standing problem for perspective images. All previous c...
Maxime Lhuillier
ICCV
2005
IEEE
15 years 7 months ago
Spherical Matching for Temporal Correspondence of Non-Rigid Surfaces
This paper introduces spherical matching to estimate dense temporal correspondence of non-rigid surfaces with genus-zero topology. The spherical domain gives a consistent 2D param...
Jonathan Starck, Adrian Hilton