NDLI: Robust correction of 3D geo-metadata in photo collections by forming a photo grid

Content Provider	IEEE Xplore Digital Library
Author	Yousefi, S. Kondori, F.A. Haibo Li
Copyright Year	2011
Description	Author affiliation: Digital Media Lab., Applied Physics and Electronics, Umeå University, Umeå, Sweden 90187 (Yousefi, S.; Kondori, F.A.; Haibo Li)
Abstract	In this work, we present a technique for efficient and robust estimation of the exact location and orientation of a photo capture device in a large data set. The provided data set includes a set of photos and the associated information from GPS and orientation sensor. This attached metadata is noisy and lacks precision. Our strategy to correct this uncertain data is based on the data fusion between measurement model, derived from sensor data, and signal model given by the computer vision algorithms. Based on the retrieved information from multiple views of a scene we make a grid of images. Our robust feature detection and matching between images result in finding a reliable transformation. Consequently, relative location and orientation of the data set construct the signal model. On the other hand, information extracted from the single images combined with the measurement data make the measurement model. Finally, Kalman filter is used to fuse these two models iteratively and enhance the estimation of the ground truth(GT) location and orientation. Practically, this approach can help us to design a photo browsing system from a huge collection of photos, enabling 3D navigation and exploration of our huge data set.
Starting Page	1
Ending Page	5
File Size	1413618
Page Count	5
File Format	PDF
ISBN	9781457710094
e-ISBN	9781457710100
e-ISBN	9781457710087
DOI	10.1109/WCSP.2011.6096689
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Computational modeling Noise Estimation Cameras Data models Noise measurement
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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