Paper
10 October 1994 Effective object representation technique for recognition
Grama Y. Chethan, Pepe Siy
Author Affiliations +
Abstract
Feature extraction and object representation form the basis of a model based object recognition system. This paper presents a new technique for invariant representation of object geometry. A massively parallel line feature extractor is applied to an edge extracted image to detect the object features. A feature tree representation of the object geometry is generated. The feature tree thus becomes a complete representation of the objects in the image. A line based object representation technique has been chosen over the point based technique to circumvent the uncertainty associated with point representation. The geometric invariants of the lines are computed using a combination of line features. An invariant feature tree representing the object geometry is thus obtained. This representation is highly parallel and can be effectively exploited in the recognition phase.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Grama Y. Chethan and Pepe Siy "Effective object representation technique for recognition", Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); https://doi.org/10.1117/12.188916
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KEYWORDS
Feature extraction

Image processing

Hough transforms

Computer programming

Data modeling

Object recognition

Sensors

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