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BMVC
2002
13 years 7 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
PR
2008
140views more  PR 2008»
13 years 4 months ago
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences
This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...
Grégory Rogez, Carlos Orrite-Uruñuel...
BMVC
2000
13 years 6 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
IROS
2008
IEEE
258views Robotics» more  IROS 2008»
13 years 11 months ago
3D active appearance model for aligning faces in 2D images
Abstract— Perceiving human faces is one of the most important functions for human robot interaction. The active appearance model (AAM) is a statistical approach that models the s...
Chun-Wei Chen, Chieh-Chih Wang
TMI
2002
259views more  TMI 2002»
13 years 4 months ago
3-D Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images
A model-based method for three-dimensional image segmentation was developed and its performance assessed in segmentation of volumetric cardiac magnetic resonance (MR) images and ec...
Steven C. Mitchell, Johan G. Bosch, Boudewijn P. F...