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» Flux Invariants for Shape
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CVPR
2007
IEEE
16 years 5 days 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
MVA
2007
201views Computer Vision» more  MVA 2007»
14 years 11 months ago
A 3D Shape Descriptor Based on Hadamard Transform and Spherical Harmonic Transform
Shape matching plays an important role in many application fields. In this paper, we propose a novel rotation invariant 3D shape descriptor based on Hadamard transform and spheric...
Guyu Xin, Hongbin Zha
CAD
2008
Springer
14 years 10 months ago
On validating STEP product data exchange
Product data exchange requires exchanging geometrical shape data that may have to be represented differently in the sending and in the receiving system. Since the translation proc...
Alexandr Kuzminykh, Christoph Hoffmann
PR
2007
170views more  PR 2007»
14 years 9 months ago
Conformal spherical representation of 3D genus-zero meshes
This paper describes an approach of representing 3D shape by using a set of invariant Spherical Harmonic (SH) coefficients after conformal mapping. Specifically, a genus-zero 3D ...
Hongdong Li, Richard I. Hartley
CVPR
1998
IEEE
15 years 11 months ago
A New Complex Basis for Implicit Polynomial Curves and its Simple Exploitation for Pose Estimation and Invariant Recognition
New representations are developed for 2D IP (implicit polynomial) curves ofarbitrary degree. These representations permit shape recognition and pose estimation with essentially sin...
David B. Cooper, Jean-Philippe Tarel