NDLI: Hierarchical 3D line restoration based on angular proximity in structured environments

Content Provider	IEEE Xplore Digital Library
Author	Kyungdon Joo Tae-Hyun Oh Hyeongwoo Kim In So Kweon
Copyright Year	2013
Description	Author affiliation: Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea (Kyungdon Joo; Tae-Hyun Oh; Hyeongwoo Kim; In So Kweon)
Abstract	We present a method based on a hierarchical clustering to restore the 3D lines of structured environments. In previous approaches, the restoration of noisy 3D lines is a challenging problem because it is difficult to define a suitable similarity measure discriminative to other lines. Our motivation to overcome the difficulty is that most structured scenes consist of sets of parallel 3D lines with the same angular proximity, which provides a hierarchical similarity measure for structured 3D lines. Accordingly, our restoration method works in a manner that clustering is hierarchically performed on angular and distance levels. The 3D line restoration is then achieved by finding the center of each cluster. The framework also makes the clustered 3D lines align along the associated angular directions. We compare the proposed algorithm with methods using no knowledge of the angular information, and demonstrate its effectiveness through real-world experiments.
Starting Page	2158
Ending Page	2162
File Size	2268021
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738445
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	hierarchical clustering Restoration 3D line structured environment angular proximity
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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