Brilakis, I and Dai, F and Radopoulou, SC (2012) Achievements and Challenges in Recognizing and Reconstructing Civil Infrastructure. Computer Science Journal, 7474. pp. 151-176. ISSN 0302-9743Full text not available from this repository.
The US National Academy of Engineering recently identified restoring and improving urban infrastructure as one of the grand challenges of engineering. Part of this challenge stems from the lack of viable methods to map/label existing infrastructure. For computer vision, this challenge becomes “How can we automate the process of extracting geometric, object oriented models of infrastructure from visual data?” Object recognition and reconstruction methods have been successfully devised and/or adapted to answer this question for small or linear objects (e.g. columns). However, many infrastructure objects are large and/or planar without significant and distinctive features, such as walls, floor slabs, and bridge decks. How can we recognize and reconstruct them in a 3D model? In this paper, strategies for infrastructure object recognition and reconstruction are presented, to set the stage for posing the question above and discuss future research in featureless, large/planar object recognition and modeling.
|Additional Information:||Invited paper from article at the 15th Workshop on Theoretic Foundations of Computer Vision, Dagstuhl Seminar 11261 on Outdoor and Large-Scale Real-World Scene Analysis, Lecture Notes|
|Uncontrolled Keywords:||recognition reconstruction infrastructure buildings construction|
|Depositing User:||Cron Job|
|Date Deposited:||31 Aug 2012 10:10|
|Last Modified:||04 Feb 2013 01:55|
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