File(s) under permanent embargo
Color photometric stereo using a rainbow light for non-lambertian multicolored surfaces
conference contribution
posted on 2015-01-01, 00:00 authored by Sejuti Rahman, Antony Lam, Imari Sato, Antonio Robles-KellyAntonio Robles-KellyThis paper presents a novel approach for recovering the shape of non-Lambertian, multicolored objects using two input images. We show that a ring light source with complementary colored lights has the potential to be effectively utilized for this purpose. Under this lighting, the brightness of an object surface varies with respect to different reflections. Therefore, analyzing how brightness is modulated by illumination color gives us distinct cues to recover shape. Moreover, the use of complementary colored illumination enables the color photometric stereo to be applicable to multicolored surfaces. Here, we propose a color correction method based on the addition principle of complementary colors to remove the effect of illumination from the observed color. This allows the inclusion of surfaces with any number of chromaticities. Therefore, our method offers significant advantages over previous methods, which often assume constant object albedo and Lambertian reflectance. To the best of our knowledge, this is the first attempt to employ complementary colors on a ring light source to compute shape while considering both non-Lambertian reflection and spatially varying albedo. To show the efficacy of our method, we present results on synthetic and real world images and compare against photometric stereo methods elsewhere in the literature.
History
Event
Computer Vision. Asian Conference (12th : 2014 : Singapore)Volume
9003Series
Lecture Notes in Computer SciencePagination
335 - 350Publisher
SpringerLocation
SingaporePlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2014-11-01End date
2014-11-05ISBN-13
9783319168654Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2015, Springer International PublishingEditor/Contributor(s)
D Cremers, I Reid, H Saito, M YangTitle of proceedings
ACCV 2014 : 12th Asian Conference on Computer VisionUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC