Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5027
PIRA download icon_1.1View/Download Full Text
Title: Analysis and synthesis of multicolored objects in a single image
Authors: Shen, HL
Xin, JH 
Issue Date: 15-Sep-2005
Source: Optics letters, 15 Sept. 2005, v. 30, no. 18, p. 2378-2380
Abstract: We present a method with which to recover the intrinsic shading and reflectance characteristics of multicolored three-dimensional objects in a single image, with which realistic new scenes can be synthesized. A color watershed algorithm, which is based on a regularized dichromatic fitting error, is proposed for robust image segmentation. For shading recovery in small regions, a weighted interpolation is employed, whereas in large regions the reflectance and shading are calculated based on the assumption of gradual shape variation. It is demonstrated that the proposed method is promising and can be applied in image simulation.
Keywords: Algorithms
Color
Computer simulation
Error analysis
Interpolation
Light reflection
Synthesis (chemical)
Watersheds
Publisher: Optical Society of America
Journal: Optics letters 
ISSN: 0146-9592
EISSN: 1539-4794
DOI: 10.1364/OL.30.002378
Rights: © 2005 Optical Society of America. This paper was published in Optics Letters and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-30-18-2378. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Shen_Analysis_synthesis_multicolored.pdf174.05 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

112
Last Week
6
Last month
Citations as of May 15, 2022

Downloads

131
Citations as of May 15, 2022

SCOPUSTM   
Citations

4
Last Week
0
Last month
0
Citations as of May 20, 2022

WEB OF SCIENCETM
Citations

4
Last Week
0
Last month
0
Citations as of May 19, 2022

Google ScholarTM

Check

Altmetric


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