NDLI: Removing outliers of large scale scene models based on automatic context analysis and convex optimization

Content Provider	IEEE Xplore Digital Library
Author	My-Ha Le Vavilin, A. Kang-Hyun Jo
Copyright Year	2012
Description	Author affiliation: School of Electrical Engineering, University of Ulsan, Korea (My-Ha Le; Vavilin, A.; Kang-Hyun Jo)
Abstract	This paper proposes a method for removing outliers of large scale scene model. First, the context of the scene images are analyzed. Some objects which may have negative effect should be removed. For instance, the sky often appear as background and moving object appear in most of scene images. They are also one of reasons that cause the outliers. Second, the constraints of image pair-wise are computed based on invariant features. The correspondence problem is solved by iterative method which remove the outliers. To avoid the disadvantage of incremental structure from motion, the global rotation of cameras are estimated by a robust method. These global rotations are fed to the point clouds generation procedure in third step. In contrast with using only canonical bundle adjustment which gain unstable structure in small baseline geometry and local minima, the proposed method utilized known-rotation framework combined bundle adjustment to generate accurate point clouds and camera positions with single global minimum. The patch based multi-view stereopsis is applied to dense point cloud upgrading. The simulation results will demonstrate the accuracy of this method from large scale scene images in outdoor environment.
Starting Page	4236
Ending Page	4241
File Size	1252109
Page Count	6
File Format	PDF
ISBN	9781467324199
ISSN	1553572X
e-ISBN	9781467324212
e-ISBN	9781467324205
DOI	10.1109/IECON.2012.6389209
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical filters Optimization Analytical models Image segmentation Minimization Optical imaging PMVS Context analysis SIFT correspondence RANSAC global rotation estimation convex optimization
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
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