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» Using Photometric Invariants for 3D Object Recognition
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BMVC
2010
14 years 7 months ago
Pose and Expression-Invariant 3D Face Recognition using Elastic Radial Curves
Hassen Drira, Boulbaba Ben Amor, Mohamed Daoudi, A...
PAMI
2010
158views more  PAMI 2010»
14 years 7 months ago
A Self-Calibrating Method for Photogeometric Acquisition of 3D Objects
— We present a self-calibrating photogeometric method using only off-the-shelf hardware that enables quickly and robustly obtaining multi-million point-sampled and colored models...
Daniel G. Aliaga, Yi Xu
PAMI
2012
12 years 11 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
16 years 1 months ago
Learning Photometric Invariance From Diversified Color Model Ensembles
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the i...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
JMIV
2000
125views more  JMIV 2000»
14 years 9 months ago
Recognizing 3D Objects Using Tactile Sensing and Curve Invariants
A general paradigm for recognizing 3D objects is offered, and applied to some geometric primitives (spheres, cylinders, cones, and tori). The assumption is that a curve on the surf...
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac W...