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|Title:||Computing surface-based photo-consistency on graphics hardware|
Van Den Hengel, A.
|Citation:||Proceedings of the 8th Biennial Conference of the Australian Pattern Recognition Society: 'Digital Image Computing: Techniques and Applications', 2005 / Lovell, B., Maeder, A., Caelli, T., Ourselin, S. (ed./s), vol.2005, pp.CD ROM 1-CD ROM 8|
|Part of:||Proceedings of the 8th Biennial Conference of the Australian Pattern Recognition Society: 'Digital Image Computing: Techniques and Applications'|
|Publisher:||IEEE Computer Society|
|Publisher Place:||CD ROM|
|Conference Name:||IEEE International Conference on Digital Image Computing: Techniques and Applications (06 Dec 2005 : Cairns, Queensland, Australia)|
|Abstract:||This paper describes a novel approach to the problem of recovering information from an image set by comparing the radiance of hypothesised point correspondences. Our algorithm is applicable to a number of problems in computer vision, but is explained particularly in terms of recovering geometry from an image set. It uses the idea of photo-consistency to measure the confidence that a hypothesised scene description generated the reference images. Photo-consistency has been used in volumetric scene reconstruction where a hypothesised surface is evolved by considering one voxel at a time. Our approach is different: it represents the scene as a parameterised surface so decisions can be made about its photo-consistency simultaneously over the entire surface rather than a series of independent decisions. Our approach is further characterised by its ability to execute on graphics hardware. Experiments demonstrate that our cost function minimises at the solution and is not adversely affected by occlusion.|
|Description:||© Copyright 2005 IEEE|
|Appears in Collections:||Computer Science publications|
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