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» Human Face Reconstruction Using Bayesian Deformable Models
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AVSS
2006
IEEE
13 years 11 months ago
Human Face Reconstruction Using Bayesian Deformable Models
This paper presents a Bayesian framework for 3D facial reconstruction. The framework iteratively deforms a generic face mesh to fit a set of range points representing a face. The...
George Mamic, Clinton Fookes, Sridha Sridharan
PRL
2006
129views more  PRL 2006»
13 years 5 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders
AVSS
2006
IEEE
13 years 11 months ago
3D Human Motion Analysis in Monocular Video Techniques and Challenges
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
Cristian Sminchisescu
CGI
2004
IEEE
13 years 8 months ago
Adaptation-Based Individualized Face Modeling for Animation Using Displacement Map
In this paper a new adaptation-basedmethod is presented to reconstruct animatable facial models of human individuals from scan data. An anatomy-based generic control model serves ...
Yu Zhang, Terence Sim, Chew Lim Tan
CVPR
2008
IEEE
13 years 11 months ago
Bayesian tactile face
Computer users with visual impairment cannot access the rich graphical contents in print or digital media unless relying on visual-to-tactile conversion, which is done primarily b...
Zheshen Wang, Xinyu Xu, Baoxin Li