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» A Statistical Shape Model without Using Landmarks
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110
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CAGD
2008
143views more  CAGD 2008»
15 years 2 months ago
A genus oblivious approach to cross parameterization
In this paper we present a robust approach to construct a map between two triangulated meshes, M and M' of arbitrary and possibly unequal genus. We introduce a novel initial ...
Janine Bennett, Valerio Pascucci, Kenneth I. Joy
148
Voted
ICCS
2007
Springer
15 years 8 months ago
Dynamic Tracking of Facial Expressions Using Adaptive, Overlapping Subspaces
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Dimitris N. Metaxas, Atul Kanaujia, Zhiguo Li
CVPR
2007
IEEE
16 years 4 months ago
Generic Face Alignment using Boosted Appearance Model
This paper proposes a discriminative framework for efficiently aligning images. Although conventional Active Appearance Models (AAM)-based approaches have achieved some success, t...
Xiaoming Liu 0002
128
Voted
ICIP
2007
IEEE
16 years 4 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
148
Voted
FGR
2008
IEEE
322views Biometrics» more  FGR 2008»
15 years 9 months ago
Statistical appearance models for automatic pose invariant face recognition
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
M. Saquib Sarfraz, Olaf Hellwich