Literature DB >> 16526429

Relief texture from specularities.

Jing Wang1, Kristin J Dana.   

Abstract

In vision and graphics, advanced object models require not only 3D shape, but also surface detail. While several scanning devices exist to capture the global shape of an object, few methods concentrate on capturing the fine-scale detail. Fine-scale surface geometry (relief texture), such as surface markings, roughness, and imprints, is essential in highly realistic rendering and accurate prediction. We present a novel approach for measuring the relief texture of specular or partially specular surfaces using a specialized imaging device with a concave parabolic mirror to view multiple angles in a single image. Laser scanning typically fails for specular surfaces because of light scattering, but our method is explicitly designed for specular surfaces. Also, the spatial resolution of the measured geometry is significantly higher than standard methods, so very small surface details are captured. Furthermore, spatially varying reflectance is measured simultaneously, i.e., both texture color and texture shape are retrieved.

Mesh:

Year:  2006        PMID: 16526429     DOI: 10.1109/TPAMI.2006.63

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  4 in total

1.  Conjoint measurement of gloss and surface texture.

Authors:  Yun-Xian Ho; Michael S Landy; Laurence T Maloney
Journal:  Psychol Sci       Date:  2008-02

Review 2.  Design and implementation of practical bidirectional texture function measurement devices focusing on the developments at the University of Bonn.

Authors:  Christopher Schwartz; Ralf Sarlette; Michael Weinmann; Martin Rump; Reinhard Klein
Journal:  Sensors (Basel)       Date:  2014-04-28       Impact factor: 3.576

3.  Sinusoidal Wave Estimation Using Photogrammetry and Short Video Sequences.

Authors:  Ewelina Rupnik; Josef Jansa; Norbert Pfeifer
Journal:  Sensors (Basel)       Date:  2015-12-05       Impact factor: 3.576

4.  3D surface texture analysis of high-resolution normal fields for facial skin condition assessment.

Authors:  Alassane Seck; Hannah Dee; William Smith; Bernard Tiddeman
Journal:  Skin Res Technol       Date:  2019-09-28       Impact factor: 2.365

  4 in total

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