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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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ICCV
2007
IEEE
15 years 11 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...
ICIP
2009
IEEE
14 years 7 months ago
3D facial visualization through adaptive spread spectrum synchronous scalable (A4S) data hiding
An adaptive spread spectrum synchronous scalable(A4S) data hiding strategy is being put forward to integrate the disparate 3D facial visualization data, into a single JPEG2000 for...
Khizar Hayat, William Puech, Gilles Gesquiè...
RT
2005
Springer
15 years 2 months ago
Estimation of 3D Faces and Illumination from Single Photographs Using A Bilinear Illumination Model
3D Face modeling is still one of the biggest challenges in computer graphics. In this paper we present a novel framework that acquires the 3D shape, texture, pose and illumination...
Jinho Lee, Hanspeter Pfister, Baback Moghaddam, Ra...
3DIM
1999
IEEE
15 years 1 months ago
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registrati...
Owen T. Carmichael, Daniel F. Huber, Martial Heber...
EMMCVPR
2003
Springer
15 years 2 months ago
Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach
This paper presents a novel method for surface recovery from discrete 3D point data sets. In order to produce improved reconstruction results, the algorithm presented in this paper...
Peter Savadjiev, Frank P. Ferrie, Kaleem Siddiqi