NDLI: Landmark recognition and retrieval: from 2D to 3D

Content Provider	ACM Digital Library
Author	Wang, JinQiao Xu, ChangSheng Xiao, Xian Xu, Min
Abstract	Existing landmark retrieval methods cannot provide a comprehensive solution, by which user can view different angles of landmark. In this paper, we propose a novel approach to reconstruct and retrieve 3D landmark models by direct 2D to 3D matching. In an offline module, firstly, attention-based 3D reconstruction method is proposed to reconstruct sparse 3D landmark models. Secondly, we construct textured 3D landmark model for each sparse 3D landmark model. Finally, a 3D landmark recognizer is built for each landmark based on the 3D landmark model. In online module, query images are recognized by the 3D landmark recognizers using a 2D to 3D matching approach. For each recognized query image, a 3D landmark model and a 3D landmark texture model are presented as a query result. Experimental results demonstrate the effectiveness of our proposed approach.
Starting Page	77
Ending Page	78
Page Count	2
File Format	PDF
ISBN	9781450309981
DOI	10.1145/2072572.2072596
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-12-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Matching Landmark retrieval 3d reconstruction
Content Type	Text
Resource Type	Article

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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
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Landmark recognition and retrieval: from 2D to 3D