NDLI: Fast point-of-interest detection from real-time stereo

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Fast point-of-interest detection from real-time stereo

Content Provider	ACM Digital Library
Author	Morris, John Biglari-Abhari, Morteza Gimel'farb, Georgy Khan, Tariq
Abstract	The use of Points-of-Interest can significantly reduce computational complexity and memory required for high-level vision tasks. We describe a simple and effective technique to detect Points-of-Interest from noisy disparity maps generated by a real-time stereo system, which considers all sources of information, i.e. the disparity map and the left and right images of a stereo pair. The first step in our approach assigns states to each point and marks possible border points. Then we detect left and right image edges. Matching these three sources of information leads to the Points-of-Interest, which we call Triple Edge points. The final step identifies significant points by projecting the detected points to real-world 3D space. Generation of the Triple Edge points is computationally more efficient than other techniques of Point-of-Interest detection. Some simple experimental results show that the Triple Edge points are a reliable source of information for identifying multiple objects in low-texture scenes with noisy disparity maps. We argue that they can be used in other high-level tasks such as object extraction, pose estimation, recognition and 3D reconstruction.
Starting Page	79
Ending Page	84
Page Count	6
File Format	PDF
ISBN	9781450314732
DOI	10.1145/2425836.2425854
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-11-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Keypoint detection Real-time stereo Depth features Point-of-interest
Content Type	Text
Resource Type	Article

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