Helmholtz Stereopsis on rough and strongly textured surfaces

Jean Yves Guillemaut, Ondrej Drbohlav, Radim Šára, John Illingworth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

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 non-convex surfaces the inter-reflection effects have been completely neglected. We extend the method to surfaces which exhibit strong texture, nontrivial geometry and are possibly non-convex. 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. © 2004 IEEE.

Original languageEnglish
Title of host publicationProceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2004
Pages10-17
Number of pages8
DOIs
Publication statusPublished - 2004
Event2nd International Symposium on 3D Data Processing, Visualization, and Transmission - Thessaloniki
Duration: 6 Sep 20049 Sep 2004

Conference

Conference2nd International Symposium on 3D Data Processing, Visualization, and Transmission
Abbreviated title3DPVI 2004
CityThessaloniki
Period6/09/049/09/04

Fingerprint

Dive into the research topics of 'Helmholtz Stereopsis on rough and strongly textured surfaces'. Together they form a unique fingerprint.

Cite this