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» Computational methods for understanding 3D shapes
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ECCV
2010
Springer
13 years 9 months ago
Efficient Computation of Scale-Space Features for Deformable Shape Correspondences
Abstract. With the rapid development of fast data acquisition techniques, 3D scans that record the geometric and photometric information of deformable objects are routinely acquire...
Tingbo Hou, Hong Qin
ICPR
2008
IEEE
14 years 3 months ago
Calibration of a structured light system by observing planar object from unknown viewpoints
— A calibration method for a structured light system by observing a planar object from unknown viewpoints is proposed. A structured light system captures a 3D shape by a camera t...
Koichiro Yamauchi, Hideo Saito, Yukio Sato
ISVC
2007
Springer
14 years 3 months ago
Shape from Texture of Developable Surfaces Via Fourier Analysis
Shape from texture has received much attention in the past few decades. We propose a computationally efficient method to extract the 3D shape of developable surfaces from the spect...
Fabio Galasso, Joan Lasenby
CG
2006
Springer
13 years 9 months ago
Shape reasoning and understanding
s: clustering, denoising, sharp feature, shape abstraction, reverse engineering In this paper we describe a hierarchical face clustering algorithm for triangle meshes based on fit...
Bianca Falcidieno, Remco C. Veltkamp
ICVGIP
2004
13 years 10 months ago
The Space of Human Shapes
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...
Brian Curless