Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-15552-9_20
DC FieldValue
dc.titleRing-light photometric stereo
dc.contributor.authorZhou, Z.
dc.contributor.authorTan, P.
dc.date.accessioned2014-06-19T03:26:06Z
dc.date.available2014-06-19T03:26:06Z
dc.date.issued2010
dc.identifier.citationZhou, Z.,Tan, P. (2010). Ring-light photometric stereo. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6312 LNCS (PART 2) : 265-279. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-15552-9_20" target="_blank">https://doi.org/10.1007/978-3-642-15552-9_20</a>
dc.identifier.isbn3642155510
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71644
dc.description.abstractWe propose a novel algorithm for uncalibrated photometric stereo. While most of previous methods rely on various assumptions on scene properties, we exploit constraints in lighting configurations. We first derive an ambiguous reconstruction by requiring lights to lie on a view centered cone. This reconstruction is upgraded to Euclidean by constraints derived from lights of equal intensity and multiple view geometry. Compared to previous methods, our algorithm deals with more general data and achieves high accuracy. Another advantage of our method is that we can model weak perspective effects of lighting, while previous methods often assume orthographical illumination. We use both synthetic and real data to evaluate our algorithm. We further build a hardware prototype to demonstrate our approach. © 2010 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-15552-9_20
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1007/978-3-642-15552-9_20
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume6312 LNCS
dc.description.issuePART 2
dc.description.page265-279
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

21
checked on May 10, 2022

Page view(s)

311
checked on May 12, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.