NDLI: Fast and robust 3D recognition by alignment

Content Provider	IEEE Xplore Digital Library
Author	Alter, T.D. Grimson, W.E.L.
Copyright Year	1993
Description	Author affiliation: Dept. of EECS, MIT AI Lab., Cambridge, MA, USA (Alter, T.D.; Grimson, W.E.L.)
Abstract	Alignment is a common approach for recognizing 3-D objects in 2-D images. Current implementations handle image uncertainty in ad hoc ways. These errors, however, can propagate and magnify through the alignment computations, such that the ad hoc approaches may not work. The authors give a technique for tightly bounding the propagated error, which can be used to make the recognition robust while still being efficient. Previous analyses of alignment have demonstrated a sensitivity to false positives. But these analyses applied only to point features, whereas alignment systems often rely on extended features for verifying the presence of a model in the image. A new formula is derived for the selectivity of a line feature. It is experimentally demonstrated using the technique for computing error bounds that the use of line segments significantly reduces the expected false positive rate. The extent of the improvement is that an alignment system that correctly handles propagated error is expected to remain reliable even in substantially cluttered scenes.<>
Starting Page	113
Ending Page	120
File Size	758624
Page Count	8
File Format	PDF
ISBN	0818638702
DOI	10.1109/ICCV.1993.378229
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-05-11
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Uncertainty Contracts Predictive models Image recognition Image analysis Layout Artificial intelligence Image segmentation Object recognition
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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