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» Denoising image sequences does not require motion estimation
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ECCV
1998
Springer
14 years 10 months ago
Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques
Abstract. Image sequence processing techniques are used to study exchange, growth, and transport processes and to tackle key questions in environmental physics and biology. These a...
Bernd Jähne, Horst W. Haussecker, Hanno Schar...
CVPR
1999
IEEE
14 years 10 months ago
An Efficient Recursive Factorization Method for Determining Structure from Motion
A recursive method is presented for recovering 3D object shape and camera motion under orthography from an extended sequence of video images. This may be viewed as a natural exten...
Yanhua Li, Michael J. Brooks
ACIVS
2008
Springer
13 years 10 months ago
Motion Recovery for Uncalibrated Turntable Sequences Using Silhouettes and a Single Point
Abstract. This paper addresses the problem of self-calibration and motion recovery for turntable sequences. Previous works exploited silhouette correspondences induced by epipolar ...
Hui Zhang, Ling Shao, Kwan-Yee Kenneth Wong
RAS
2007
115views more  RAS 2007»
13 years 8 months ago
A variational method for the recovery of dense 3D structure from motion
The purpose of this study is to investigate a variational formulation of the problem of three-dimensional (3D) interpretation of temporal image sequences based on the 3D brightnes...
Hicham Sekkati, Amar Mitiche
CVPR
2005
IEEE
14 years 10 months ago
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimize...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...