Colour Adjustment and Specular Removal for Non-Uniform Shape from Shading

File Size Format
67703_1.pdf 914Kb Adobe PDF View
Title Colour Adjustment and Specular Removal for Non-Uniform Shape from Shading
Author Zhang, Paul; Gao, Yongsheng; Caelli, Terry
Publication Title Proceedings 2010 Digital Image Computing: Techniques and Applications DICTA 2010
Editor IEEE
Year Published 2010
Place of publication Australia
Abstract Surface colour changes and specular reflections are two major problems in 3D modelling using shape-from-shading (SFS). This paper proposes to pre-process the input image for a typical SFS algorithm, so that the resultant image has no colour changes and specular reflection. First, a chromaticity-based specular reflection removal algorithm is applied to achieve a pure diffuse (Lambertian) reflected image. Then, a novel chromaticity-based colour adjustment approach is proposed to generate an image without surface colour changes. The standard SFS algorithms can then be applied successfully onto the processed images to produce plausible 3D models. In experiments, the proposed approach was tested on standard SFS datasets with complex surface colours. The experimental results show it's promising to facilitate SFS algorithms to handle SFS problems with more complex surface properties and illumination conditions.
Peer Reviewed Yes
Published Yes
Alternative URI
Copyright Statement Copyright 2010 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.
ISBN 978-0-7695-4271-3
Conference name The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010)
Location Sydney
Date From 2010-12-01
Date To 2010-12-03
Date Accessioned 2011-01-31
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Computer Vision
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice