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ECCV
2002
Springer
15 years 11 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
IJRR
2000
113views more  IJRR 2000»
14 years 9 months ago
Sensor-Based Exploration: The Hierarchical Generalized Voronoi Graph
The hierarchical generalized Voronoi graph (HGVG) is a new roadmap developed for sensor-based exploration in unknown environments. This paper defines the HGVG structure: a robot c...
Howie Choset, Joel W. Burdick
ECCV
2002
Springer
15 years 11 months ago
DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
What does it mean for a deforming object to be "moving" (see Fig. 1)? How can we separate the overall motion (a finite-dimensional group action) from the more general de...
Stefano Soatto, Anthony J. Yezzi
ICIP
2006
IEEE
15 years 11 months ago
Computing Pose Sequences Directly from Videos
An innovative extended Kalman filter (EKF) algorithm for pose tracking has been proposed in this paper. It has the advantages of both structure and motion-based (SAM-based) and tr...
Ying Kin Yu, Kin-hong Wong, Michael Ming-Yuen Chan...
BMCBI
2010
189views more  BMCBI 2010»
14 years 10 months ago
Efficient parallel and out of core algorithms for constructing large bi-directed de Bruijn graphs
Background: Assembling genomic sequences from a set of overlapping reads is one of the most fundamental problems in computational biology. Algorithms addressing the assembly probl...
Vamsi Kundeti, Sanguthevar Rajasekaran, Hieu Dinh,...