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» Background estimation from non-time sequence images
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ICPR
2008
IEEE
16 years 24 days ago
Dynamic structure from motion based on nonlinear adaptive observers
Structure and motion estimation from long image sequences is a an important and difficult problem in computer vision. We propose a novel approach based on nonlinear and adaptive ...
Ola Dahl, Anders Heyden
MICCAI
1999
Springer
15 years 10 months ago
Statistical 3D Vessel Segmentation Using a Rician Distribution
Abstract. This paper presents an extended version of the fully automated 3D cerebral vessel reconstruction algorithm developed by Wilson and Noble [11] which is applicable to time-...
Albert C. S. Chung, J. Alison Noble
CVPR
2003
IEEE
15 years 11 months ago
Dynamic Depth Recovery from Unsynchronized Video Streams
In this paper, we propose an algorithm for estimating dense depth information of dynamic scenes from multiple video streams captured using unsynchronized stationary cameras. We so...
Chunxiao Zhou, Hai Tao

Publication
350views
16 years 6 months ago
Probabilistic Parameter Selection for Learning Scene Structure from Video
We present an online learning approach for robustly combining unreliable observations from a pedestrian detector to estimate the rough 3D scene geometry from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...
ICPR
2004
IEEE
16 years 7 months ago
Estimating Surface Shape and Extending Known Structure using Specular Reflections
In this paper a method for shape estimation and structure extension of a surface using information from specularities is proposed. The structure of the scene is obtained from an i...
Anders Heyden, Jan Erik Solem