NDLI: Recognizing surface qualities from natural images based on learning to rank

Content Provider	IEEE Xplore Digital Library
Author	Abe, T. Okatani, T. Deguchi, K.
Copyright Year	2012
Description	Author affiliation: Graduate School of Information Sciences, Tohoku University, Japan (Abe, T.; Okatani, T.; Deguchi, K.)
Abstract	This paper proposes a method for estimating the quantitative values of some attributes associated with surface qualities of an object, such as glossiness and transparency, from its image. Our approach is to learn functions that compute such attribute values from the input image by using training data given in the form of relative information. To be specific, each sample of the training data represents that, for a pair of images, which is greater in terms of the target attribute. The functions are learned based on leaning to rank. This approach enables us to deal with natural images, which cannot be dealt with in previous works, which are based on CG synthesized images for both training and testing. We created data sets using the Flickr Material Database for four attributes of glossiness, transparency, smoothness, and coldness, and learn the functions representing the values of these attributes. We present experimental results that the learned functions show very promising performances in the estimation of the attribute values.
Starting Page	3712
Ending Page	3715
File Size	1123084
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Materials Image recognition Training Humans Testing Training data Accuracy
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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

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