Multi-Frame Scene-Flow Estimation Using a Patch Model and Smooth Motion Prior
Popham, T.J., Bhalerao, A.H. and Wilson, R.G. (2010) Multi-Frame Scene-Flow Estimation Using a Patch Model and Smooth Motion Prior. In: British Machine Vision Conference Workshop, London, UK.
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This paper addresses the problem of estimating the dense 3D motion of a scene over several frames using a set of calibrated cameras. Most current 3D motion estimation techniques are limited to estimating the motion over a single frame, unless a strong prior model of the scene (such as a skeleton) is introduced. Estimating the 3D motion of a general scene is difficult due to untextured surfaces, complex movements and occlusions. In this paper, we show that it is possible to track the surfaces of a scene over several frames, by introducing an effective prior on the scene motion. Experimental results show that the proposed method estimates the dense scene-flow over multiple frames, without the need for multiple-view reconstructions at every frame. Furthermore, the accuracy of the proposed method is demonstrated by comparing the estimated motion against a ground truth.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||pcav hpsg multimedia vision image signal processing video|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76.73 Computer algorithms. Data structures.
|Divisions:||Faculty of Science > Computer Science|
|Depositing User:||Simon Hammond|
|Date Deposited:||06 Nov 2010 15:07|
|Last Modified:||23 Feb 2012 09:08|
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