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Volumetric stereo with silhouette and feature constraints

Starck, J, Miller, Graham and Hilton, Adrian (2006) Volumetric stereo with silhouette and feature constraints In: BMVC 2006, 2006-09-04 - 2006-09-07, Edinburgh.

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This paper presents a novel volumetric reconstruction technique that combines shape-from-silhouette with stereo photo-consistency in a global optimisation that enforces feature constraints across multiple views. Human shape reconstruction is considered where extended regions of uniform appearance, complex self-occlusions and sparse feature cues represent a challenging problem for conventional reconstruction techniques. A unified approach is introduced to first reconstruct the occluding contours and left-right consistent edge contours in a scene and then incorporate these contour constraints in a global surface optimisation using graph-cuts. The proposed technique maximises photo-consistency on the surface, while satisfying silhouette constraints to provide shape in the presence of uniform surface appearance and edge feature constraints to align key image features across views.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Starck, J
Date : 2006
Contributors :
ContributionNameEmailORCID Machine Vision Association,
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 20 Apr 2012 11:15
Last Modified : 20 Aug 2019 14:48

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