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» Landmark Localisation in 3D Face Data
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AVSS
2009
IEEE
13 years 2 months ago
Landmark Localisation in 3D Face Data
A comparison of several approaches that use graph matching and cascade filtering for landmark localisation in 3D face data is presented. For the first method, we apply the structur...
Marcelo Romero, Nick Pears
CVPR
2012
IEEE
11 years 7 months ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin
ECCV
2008
Springer
14 years 6 months ago
3D Face Model Fitting for Recognition
This paper presents an automatic efficient method to fit a statistical deformation model of the human face to 3D scan data. In a global to local fitting scheme, the shape parameter...
Frank B. ter Haar, Remco C. Veltkamp
3DPVT
2004
IEEE
239views Visualization» more  3DPVT 2004»
13 years 8 months ago
3D Performance Capture for Facial Animation
This paper describes how a photogrammetry based 3D capture system can be used as an input device for animation. The 3D Dynamic Capture System is used to capture the motion of a hu...
Donald MacVicar, Stuart Ford, Ewan Borland, Robert...
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