Paper
1 March 1992 Robust image features: concentric contrasting circles and their image extraction
Lance B. Gatrell, William A. Hoff, Cheryl W. Sklair
Author Affiliations +
Abstract
Many computer vision tasks can be simplified if special image features are placed on the objects to be recognized. A review of special image features that have been used in the past is given and then a new image feature, the concentric contrasting circle, is presented. The concentric contrasting circle image feature has the advantages of being easily manufactured, easily extracted from the image, robust extraction (true targets are found, while few false targets are found), it is a passive feature, and its centroid is completely invariant to the three translational and one rotational degrees of freedom and nearly invariant to the remaining two rotational degrees of freedom. There are several examples of existing parallel implementations which perform most of the extraction work. Extraction robustness was measured by recording the probability of correct detection and the false alarm rate in a set of images of scenes containing mockups of satellites, fluid couplings, and electrical components. A typical application of concentric contrasting circle features is to place them on modeled objects for monocular pose estimation or object identification. This feature is demonstrated on a visually challenging background of a specular but wrinkled surface similar to a multilayered insulation spacecraft thermal blanket.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lance B. Gatrell, William A. Hoff, and Cheryl W. Sklair "Robust image features: concentric contrasting circles and their image extraction", Proc. SPIE 1612, Cooperative Intelligent Robotics in Space II, (1 March 1992); https://doi.org/10.1117/12.56761
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CITATIONS
Cited by 31 scholarly publications and 2 patents.
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KEYWORDS
Current controlled current source

Robotics

Silicon

Feature extraction

Space operations

Solids

Target recognition

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