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143
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SCVMA
2004
Springer
15 years 4 months ago
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation
3D-model-based tracking offers one possibility to explicate the manner in which spatial coherence can be exploited for the analysis of image sequences. Two seemingly different ap...
Hendrik Dahlkamp, Artur Ottlik, Hans-Hellmut Nagel
122
Voted
AIPR
2001
IEEE
15 years 2 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
80
Voted
BMVC
2001
15 years 1 months ago
Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation
We address the problem of non-rigid motion and correspondence estimation in 3D images in the absense of prior domain information. A generic framework is utilized in which a soluti...
Pavel Laskov, Chandra Kambhamettu
ECCV
1992
Springer
16 years 21 days ago
Hierarchical Model-Based Motion Estimation
This paper describesa hierarchicalestimation framework for the computation of diverserepresentationsof motion information. The key features of the resulting framework (or family of...
James R. Bergen, P. Anandan, Keith J. Hanna, Rajes...
93
Voted
DAGM
2004
Springer
15 years 2 months ago
Differential Analysis of Two Model-Based Vehicle Tracking Approaches
An experimental comparison of `Edge-Element Association (EEA)' and `Marginalized Contour (MCo)' approaches for 3D modelbased vehicle tracking in traffic scenes is complic...
Hendrik Dahlkamp, Arthur E. C. Pece, Artur Ottlik,...