Helmholtz stereopsis on rough and strongly textured surfaces
Guillemaut, JY, Drbohlav, O, Sara, R and Illingworth, J (2004) Helmholtz stereopsis on rough and strongly textured surfaces In: 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVI 2004), 2004-09-06 - 2004-09-09, Thessaloniki, GREECE.
Available under License : See the attached licence file.
Helmholtz Stereopsis (HS) has recently been explored as a promising technique for capturing shape of objects with unknown reflectance. So far, it has been widely applied to objects of smooth geometry and piecewise uniform Bidirectional Reflectance Distribution Function (BRDF). Moreover, for nonconvex surfaces the inter-reflect ion effects have been completely neglected. We extend the method to surfaces which exhibit strong texture, nontrivial geometry and are possibly nonconvex. The problem associated with these surface features is that Helmholtz reciprocity is apparently violated when point-based measurements are used independently to establish the matching constraint as in the standard HS implementation. We argue that the problem is avoided by computing radiance measurements on image regions corresponding exactly to projections of the same surface point neighbourhood with appropriate scale. The experimental results demonstrate the success of the novel method proposed on real objects.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||© 2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Uncontrolled Keywords:||Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Software Engineering, Computer Science|
|Divisions:||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Depositing User:||Symplectic Elements|
|Date Deposited:||12 Oct 2012 18:21|
|Last Modified:||23 Sep 2013 19:23|
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