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» Supershape Recovery from 3D Data Sets
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IROS
2009
IEEE
229views Robotics» more  IROS 2009»
14 years 5 months ago
3D mapping for urban service robots
— We present an approach to the problem of 3D map building in urban settings for service robots, using threedimensional laser range scans as the main data input. Our system is ba...
Rafael Valencia, Ernesto Homar Teniente Avil&eacut...
ECCV
2006
Springer
15 years 19 days ago
Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality
One main challenge in Augmented Reality (AR) applications is to keep track of video objects with their movement, orientation, size, and position accurately. This poses a challengin...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
MM
2004
ACM
133views Multimedia» more  MM 2004»
14 years 4 months ago
Interactive retrieval of 3D shape models using physical objects
We present a novel method for interactive retrieval of 3D shapes using physical objects. Our method is based on simple physical 3D interaction with a set of tangible blocks. As th...
Hiroyasu Ichida, Yuichi Itoh, Yoshifumi Kitamura, ...
ICIP
2007
IEEE
15 years 13 days ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
ECCV
2004
Springer
15 years 19 days ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr