Estimating True Object Color from a Single Image and Multiple Images

In an image, color feature is highly discriminative for identifying the scene objects, but it is often difficult to uniquely extract. The challenge is primarily related to variations in the object’s color in different images captured under varying illuminations at different viewpoints. A number of methods have been developed to find true object color, which is independent of illuminations and viewpoints. In this dissertation, we will address the problems of color variations in images and introduce a novel approach for simultaneously estimating the diffuse and specular reflections from a collection of images based on the dichromatic reflection model. By minimizing a cost function, the observed color in a scene can be decomposed into diffuse reflection (modeling the object color), specular reflection (modeling the illumination) and geometry parameters of the dichromatic reflection model. We refer to the resulting color of diffuse reflection as true object color. The estimated parameters of each pixel in the set of images are sequentially obtained by Gauss Seidel iterative approach [60]. The robustness of our method is demonstrated using a set of home-generated and standard image sets. We also demonstrate that our proposed method can be used to estimate the dichromatic reflection model of an object from a single image. The estimated true object color allows for excellent segmentation performance.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor dc:publisher

The Ohio State University

Year dc:date

2013

Author dc:creator

• Lee, Heewon

Contributors dc:contributor

• Hemami, Hooshang

• Computer Engineering
• Electrical Engineering
• Dichromatic Reflection Model

Statement dc:rights

• unrestricted
• This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.

Language dc:language

English

Repository record dc:identifier

http://rave.ohiolink.edu/etdc/view?acc_num=osu1357230807

OAI identifier oai:identifier

oai:etd.ohiolink.edu:osu1357230807