NDLI: Beyond Lambert: reconstructing specular surfaces using color

Content Provider	IEEE Xplore Digital Library
Author	Mallick, S.P. Zickler, T.E. Kriegman, D.J. Belhumeur, P.N.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci. & Eng., California Univ., San Diego, La Jolla, CA, USA (Mallick, S.P.)
Abstract	We present a photometric stereo method for non-diffuse materials that does not require an explicit reflectance model or reference object. By computing a data-dependent rotation of RGB color space, we show that the specular reflection effects can be separated from the much simpler, diffuse (approximately Lambertian) reflection effects for surfaces that can be modeled with dichromatic reflectance. Images in this transformed color space are used to obtain photometric reconstructions that are independent of the specular reflectance. In contrast to other methods for highlight removal based on dichromatic color separation (e.g., color histogram analysis and/or polarization), we do not explicitly recover the specular and diffuse components of an image. Instead, we simply find a transformation of color space that yields more direct access to shape information. The method is purely local and is able to handle surfaces with arbitrary texture.
Sponsorship	IEEE Comput. Soc
Starting Page	619
Ending Page	626
File Size	407364
Page Count	8
File Format	PDF
ISBN	0769523722
ISSN	10636919
DOI	10.1109/CVPR.2005.88
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surface reconstruction Reflectivity Image color analysis Image reconstruction Photometry Reflection Histograms Image analysis Independent component analysis Polarization
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-view stereo beyond Lambert

Temporal-color space analysis of reflection

Separation of diffuse and specular reflection in color images

Efficient photometric stereo on glossy surfaces with wide specular lobes

Can two specular pixels calibrate photometric stereo?

Mesostructure from Specularity

Using polarization to separate reflection components

Color Subspaces as Photometric Invariants

Detection of specularity using stereo in color and polarization space

Beyond Lambert: reconstructing specular surfaces using color

Similar Documents

Multi-view stereo beyond Lambert

Temporal-color space analysis of reflection

Separation of diffuse and specular reflection in color images

Efficient photometric stereo on glossy surfaces with wide specular lobes

Can two specular pixels calibrate photometric stereo?

Mesostructure from Specularity

Using polarization to separate reflection components

Color Subspaces as Photometric Invariants

Detection of specularity using stereo in color and polarization space

Beyond Lambert: reconstructing specular surfaces using color