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» Dense Structure from a Dense Optical Flow Sequence
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CVPR
2010
IEEE
15 years 6 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
16 years 2 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 7 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...
CVPR
2007
IEEE
16 years 8 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 11 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