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» Surface Reconstruction using Learned Shape Models
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FGR
2006
IEEE
211views Biometrics» more  FGR 2006»
14 years 3 months ago
Face Recognition based on a 3D Morphable Model
This paper summarizes the main concepts of Morphable Models of 3D faces, and describes two algorithms for 3D surface reconstruction and face recognition. The first algorithm is b...
Volker Blanz
CVIU
2004
246views more  CVIU 2004»
13 years 9 months ago
3-D reconstruction of static human body shape from image sequence
The generation of 3-D models from uncalibrated image sequences is a challenging problem that has been investigated in many research activities in the last decade. In particular, a...
Fabio Remondino
MVA
1994
235views Computer Vision» more  MVA 1994»
13 years 10 months ago
Obtaining 3-D shape from Silhouette Informations Interpolated by Photometric Stereo
The idea of photometric stereo is to serially vary the direction of incident illumination on the state of the holded view point, but it can locally reconstruct only the front surf...
Changsuk Cho, Haruyuki Minamitani
ICIP
2007
IEEE
14 years 11 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
JSCIC
2010
231views more  JSCIC 2010»
13 years 4 months ago
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Tom Goldstein, Xavier Bresson, Stanley Osher