NDLI: Leap segmentation for recovering image surface layout

Content Provider	IEEE Xplore Digital Library
Author	Forsthoefel, D. Wills, D.S. Wills, L.M.
Copyright Year	2012
Description	Author affiliation: Mobile Vision Embedded Systems Laboratory, Georgia Institute of Technology, Atlanta, 30332, USA (Forsthoefel, D.; Wills, D.S.; Wills, L.M.)
Abstract	High-level vision applications often incorporate image segmentation techniques into their preprocessing stages to reduce image data and to improve overall execution efficiency. Traditional segmentation approaches often focus on creating homogenous, connected regions of pixels to roughly correspond with image object boundaries. These methods tend to blend or remove important image details and are often computationally expensive. We describe a new, highly efficient image segmentation technique - called leap segmentation - that builds a new image representation where individual pixel data is replaced with a map of chromatic- and illumination-similar regions that are adjacent but not necessarily contiguous. We show that applying this novel view of image segmentation can significantly improve the overall performance of a high-level image labeling task. We provide a detailed comparison of the leap segmentation approach with related, existing segmentation methods. We find that leap segmentation is able to achieve high accuracy results in the task of single-image labeling for surface layout reconstruction, while exhibiting execution time improvements of 10x – 15x over existing segmentation approaches.
Starting Page	153
Ending Page	156
File Size	425884
Page Count	4
File Format	PDF
ISBN	9781467318310
e-ISBN	9781467318303
e-ISBN	9781467318297
DOI	10.1109/SSIAI.2012.6202476
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Labeling Accuracy Layout Image reconstruction Three dimensional displays Surface reconstruction single-view reconstruction computer vision image segmentation
Content Type	Text
Resource Type	Article

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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