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» Computational methods for understanding 3D shapes
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CG
2006
Springer
13 years 4 months ago
Computational methods for understanding 3D shapes
Understanding shapes has been a challenging issue for many years, firstly motivated by computer vision and more recently by many complex applications in diverse fields, such as me...
Marco Attene, Silvia Biasotti, Michela Mortara, Gi...
ECCV
2004
Springer
14 years 6 months ago
Line Geometry for 3D Shape Understanding and Reconstruction
We understand and reconstruct special surfaces from 3D data with line geometry methods. Based on estimated surface normals we use approximation techniques in line space to recogniz...
Helmut Pottmann, Michael Hofer, Boris Odehnal, Joh...
ICMCS
2009
IEEE
222views Multimedia» more  ICMCS 2009»
13 years 2 months ago
3D Gaussian descriptor for 3D shape retrieval
This paper presents a new approach to 3D shape comparison and retrieval based on the computation of Gaussian transforms of the surface model on a set of points regularly distribut...
Mohamed Chaouch, Anne Verroust-Blondet
ICB
2009
Springer
355views Biometrics» more  ICB 2009»
13 years 11 months ago
3D Signatures for Fast 3D Face Recognition
We propose a vector representation (called a 3D signature) for 3D face shape in biometrics applications. Elements of the vector correspond to fixed surface points in a face-centere...
Chris Boehnen, Tanya Peters, Patrick J. Flynn
3DPVT
2006
IEEE
258views Visualization» more  3DPVT 2006»
13 years 10 months ago
3D Content-Based Search Based on 3D Krawtchouk Moments
In this paper a novel method for 3D content-based search and retrieval is proposed. Guided by the imperative need for a reliable 3D content based search tool and the very interest...
Athanasios Mademlis, Apostolos Axenopoulos, Petros...