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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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AMFG
2003
IEEE
163views Biometrics» more  AMFG 2003»
14 years 2 months ago
Pose Estimation using 3D View-Based Eigenspaces
In this paper we present a method for estimating the absolute pose of a rigid object based on intensity and depth viewbased eigenspaces, built across multiple views of example obj...
Louis-Philippe Morency, Patrik Sundberg, Trevor Da...
ECCV
2006
Springer
14 years 19 days ago
Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision
Abstract. This paper presents an endoscopic vision framework for modelbased 3D guidance of surgical instruments used in robotized laparoscopic surgery. In order to develop such a s...
Christophe Doignon, Florent Nageotte, Michel de Ma...
FGR
2000
IEEE
175views Biometrics» more  FGR 2000»
14 years 1 months ago
A Framework for Modeling the Appearance of 3D Articulated Figures
This paper describes a framework for constructing a linear subspace model of image appearance for complex articulated 3D figures such as humans and other animals. A commercial mo...
Hedvig Sidenbladh, Fernando De la Torre, Michael J...
VRST
2009
ACM
14 years 3 months ago
Standalone edge-based markerless tracking of fully 3-dimensional objects for handheld augmented reality
This paper presents a markerless tracking technique targeted to the Windows Mobile Pocket PC platform. The primary aim of this work is to allow the development of standalone augme...
João Paulo S. M. Lima, Veronica Teichrieb, ...
CVPR
2006
IEEE
14 years 11 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick