English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Mesostructure from Specularity

Chen, T., Goesele, M., & Seidel, H.-P. (2006). Mesostructure from Specularity. In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1825-1832). Piscataway, NJ: IEEE.

Item is

Files

show Files
hide Files
:
Chen-2006-MS.pdf (Any fulltext), 4MB
 
File Permalink:
-
Name:
Chen-2006-MS.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Chen, Tongbo1, Author           
Goesele, Michael1, Author           
Seidel, Hans-Peter1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

Content

show
hide
Free keywords: -
 Abstract: We describe a simple and robust method for surface mesostructure acquisition. Our method builds on the observation that specular reflection is a reliable visual cue for surface mesostructure perception. In contrast to most photometric stereo methods, which take specularities as outliers and discard them, we propose a progressive acquisition system that captures a dense specularity field as the only information for mesostructure reconstruction. Our method can efficiently recover surfaces with fine-scale geometric details from complex real-world objects with a wide variety of reflection properties, including translucent, low albedo, and highly specular objects. We show results for a variety of objects including human skin, dried apricot, orange, jelly candy, black leather and dark chocolate.

Details

show
hide
Language(s): eng - English
 Dates: 2007-02-262006
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314612
Other: Local-ID: C125675300671F7B-2E4D5B68F463C156C12571A300477D64-Chen:2006:MFS
DOI: 10.1109/CVPR.2006.182
BibTex Citekey: Chen2006MFS
 Degree: -

Event

show
hide
Title: IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Place of Event: New York, NY, USA
Start-/End Date: 2006-06-17

Legal Case

show

Project information

show

Source 1

show
hide
Title: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2006
  Subtitle : Proceedings
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1825 - 1832 Identifier: ISBN: 0-7695-2597-0