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» A computational framework for incremental motion
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ECCV
2004
Springer
16 years 8 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
108
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ECCV
2004
Springer
16 years 8 months ago
A Framework for Pencil-of-Points Structure-from-Motion
Adrien Bartoli, Mathieu Coquerelle, Peter F. Sturm
IJCV
2006
164views more  IJCV 2006»
15 years 6 months ago
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
Based on recent work on Stochastic Partial Differential Equations (SPDEs), this paper presents a simple and well-founded method to implement the stochastic evolution of a curve. F...
Olivier Juan, Renaud Keriven, Gheorghe Postelnicu
IROS
2006
IEEE
114views Robotics» more  IROS 2006»
16 years 14 days ago
Smooth Collision Avoidance: Practical Issues in Dynamic Humanoid Motion
— In this paper we address smooth and collision-free whole-body motion planning for humanoid robots. A two-stage iterative planning framework is introduced where geometric motion...
Eiichi Yoshida, Claudia Esteves, Takeshi Sakaguchi...
ADS
2004
Springer
15 years 10 months ago
Neural Architecture for Temporal Emotion Classification
Abstract. In this pilot study, a neural architecture for temporal emotion recognition from image sequences is proposed. The investigation aims at the development of key principles ...
Roland Schweiger, Pierre Bayerl, Heiko Neumann