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» Linear Multi View Reconstruction and Camera Recovery
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ECCV
2008
Springer
15 years 11 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
PAMI
2007
219views more  PAMI 2007»
14 years 9 months ago
Shape Estimation Using Polarization and Shading from Two Views
—This paper presents a novel method for 3D surface reconstruction that uses polarization and shading information from two views. The method relies on the polarization data acquir...
Gary Atkinson, Edwin R. Hancock
87
Voted
ECCV
2004
Springer
15 years 2 months ago
An AR Human Computer Interface for Object Localization in a Cognitive Vision Framework
Abstract. In the European cognitive vision project VAMPIRE (IST2001-34401), mobile AR-kits are used for interactive teaching of a visual active memory. This is achieved by 3D augme...
Hannes Siegl, Gerald Schweighofer, Axel Pinz
CVPR
2006
IEEE
15 years 11 months ago
Reciprocal Image Features for Uncalibrated Helmholtz Stereopsis
Helmholtz stereopsis is a surface reconstruction method that exploits reciprocity for the recovery of 3D shape without an assumed BRDF model, and it has been shown to yield high q...
Todd Zickler
ICMCS
2009
IEEE
133views Multimedia» more  ICMCS 2009»
14 years 7 months ago
View indepedent human movement recognition from multi-view video exploiting a circular invariant posture representation
In this paper a novel method for view independent human movement representation and recognition, exploiting the rich information contained in multi-view videos, is proposed. The bi...
Nikolaos Gkalelis, Nikos Nikolaidis, Ioannis Pitas