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» Using Photometric Invariants for 3D Object Recognition
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IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 3 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
ECCV
2010
Springer
14 years 10 months ago
Image Invariants for Smooth Reflective Surfaces
Image invariants are those properties of the images of an object that remain unchanged with change in camera parameters, illumination etc. In this paper, we derive an image invari...
CIVR
2007
Springer
199views Image Analysis» more  CIVR 2007»
15 years 3 months ago
New local descriptors based on dissociated dipoles
This paper describes new local photometric descriptors based on dissociated dipoles for transformed images or rigid objects retrieval. Dissociated dipoles are non local different...
Alexis Joly
ECCV
2006
Springer
15 years 11 months ago
The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces
In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motio...
Guillaume Dewaele, Frederic Devernay, Radu Horaud,...
ECCV
2006
Springer
15 years 11 months ago
Face Recognition from Video Using the Generic Shape-Illumination Manifold
Abstract. In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applica...
Ognjen Arandjelovic, Roberto Cipolla