Special Section on Advances on Distributed Smart Cameras

Multicamera fusion for shape estimation and visibility analysis of unknown deforming objects

[+] Author Affiliations
Evgeny Nuger, Beno Benhabib

University of Toronto, Department of Mechanical and Industrial Engineering, 5 King’s College Road, Toronto, Ontario M5S 3G8, Canada

J. Electron. Imaging. 25(4), 041009 (Jun 09, 2016). doi:10.1117/1.JEI.25.4.041009
History: Received December 17, 2015; Accepted May 9, 2016
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Abstract.  A method is proposed for fused three-dimensional (3-D) shape estimation and visibility analysis of an unknown, markerless, deforming object through a multicamera vision system. Complete shape estimation is defined herein as the process of 3-D reconstruction of a model through fusion of stereo triangulation data and a visual hull. The differing accuracies of both methods rely on the number and placement of the cameras. Stereo triangulation yields a high-density, high-accuracy reconstruction of a surface patch from a small surface area, while a visual hull yields a complete, low-detail volumetric approximation of the object. The resultant complete 3-D model is, then, temporally projected based on the tracked object’s deformation, yielding a robust deformed shape prediction. Visibility and uncertainty analyses, on the projected model, estimate the expected accuracy of reconstruction at the next sampling instant. In contrast to common techniques that rely on a priori known models and identities of static objects, our method is distinct in its direct application to unknown, markerless, deforming objects, where the object model and identity are unknown to the system. Extensive simulations and comparisons, some of which are presented herein, thoroughly demonstrate the proposed method and its benefits over individual reconstruction techniques.

© 2016 SPIE and IS&T

Citation

Evgeny Nuger and Beno Benhabib
"Multicamera fusion for shape estimation and visibility analysis of unknown deforming objects", J. Electron. Imaging. 25(4), 041009 (Jun 09, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.4.041009


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