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» Compression of Functions Defined on Surfaces of 3D Objects
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CVPR
2008
IEEE
16 years 1 months ago
Dense 3D reconstruction from specularity consistency
In this work, we consider the dense reconstruction of specular objects. We propose the use of a specularity constraint, based on surface normal/depth consistency, to define a matc...
Diego Nehab, Tim Weyrich, Szymon Rusinkiewicz
101
Voted
ICIP
2006
IEEE
16 years 1 months ago
Supershape Recovery from 3D Data Sets
In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are u...
Andrei V. Gribok, Frédéric Truchetet...
82
Voted
ECCV
2002
Springer
16 years 1 months ago
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
This paper presents a geometric approach to recognizing smooth objects from their outlines. We define a signature function that associates feature vectors with objects and baseline...
Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, Da...
89
Voted
CVPR
2010
IEEE
15 years 4 months ago
Compression of Surface Registration using Beltrami Coefficients
Surface registration is widely used in machine vision and medical imaging, where 1-1 correspondences between surfaces are computed to study their variations. Surface maps are usua...
Lok Ming Lui
APGV
2007
ACM
115views Visualization» more  APGV 2007»
15 years 3 months ago
A roughness measure for 3D mesh visual masking
3D models are subject to a wide variety of processing operations such as compression, simplification or watermarking, which introduce slight geometric modifications on the shape. ...
Guillaume Lavoué