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» A computational framework for incremental motion
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ECCV
2004
Springer
16 years 1 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
ECCV
2004
Springer
16 years 1 months ago
A Framework for Pencil-of-Points Structure-from-Motion
Adrien Bartoli, Mathieu Coquerelle, Peter F. Sturm
IJCV
2006
164views more  IJCV 2006»
14 years 11 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
92
Voted
IROS
2006
IEEE
114views Robotics» more  IROS 2006»
15 years 5 months 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 3 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