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» Recognizing 3D Objects Using Photometric Invariant
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DAGM
2006
Springer
14 years 1 months ago
Using Irreducible Group Representations for Invariant 3D Shape Description
Invariant feature representations for 3D objects are one of the basic needs in 3D object retrieval and classification. One tool to obtain rotation invariance are Spherical Harmonic...
Marco Reisert, Hans Burkhardt
IROS
2006
IEEE
247views Robotics» more  IROS 2006»
14 years 3 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
Jens Kubacki, Winfried Baum
CVPR
1997
IEEE
14 years 11 months ago
Pictorial Recognition Using Affine-Invariant Spectral Signatures
This paper describes an efficient approach to pose invariant object recognition employing pictorial recognition of image patches. A complete affine invariance is achieved by a rep...
Jezekiel Ben-Arie, Zhiqian Wang
CVPR
2007
IEEE
14 years 11 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
ICIAP
1999
ACM
14 years 2 months ago
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces
The paper presents a new approach for shape recovery based on integratinggeometric and photometric information. We consider 3D bilaterally symmetric objects, that is, objects which...
Ilan Shimshoni, Michael Lindenbaum, Yael Moses