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» Recognition of Parametrised Models from 3D Data
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JCDL
2003
ACM
231views Education» more  JCDL 2003»
14 years 26 days ago
Acquisition, Representation, Query and Analysis of Spatial Data: A Demonstration 3D Digital Library
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
Jeremy Rowe, Anshuman Razdan, Arleyn Simon
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
14 years 1 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
ICIP
2008
IEEE
14 years 9 months ago
Learning structurally discriminant features in 3D faces
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
ECCV
2006
Springer
14 years 9 months ago
The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces
In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motio...
Guillaume Dewaele, Frederic Devernay, Radu Horaud,...
ICRA
2006
IEEE
230views Robotics» more  ICRA 2006»
14 years 1 months ago
Sensor Fusion for 3D Human body Tracking with an Articulated 3D Body Model
— This paper proposes a tracking system called VooDoo for 3d tracking of human body movements based on a 3d body model and the Iterative Closest Point (ICP) algorithm. The propos...
Steffen Knoop, Stefan Vacek, Rüdiger Dillmann