Recognition of overlapping 2-D objects by local feature construction method

A method is described for the recognition of partially occluded 2-D objects. This method considers a set of corners, parallel lines, and so on as typical features of an object. Possible candidate models are estimated from these features, and structural matching is performed between these models and...

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Bibliographic Details
Published inPattern Recognition, 9th International Conference on, 1988: Proceedings pp. 1046 - 1048 vol.2
Main Authors Nakamura, Y., Nagao, M.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE Comput. Soc. Press 06.01.2003
Subjects
Computer vision
Feature extraction
Image processing
Image recognition
Object detection
Robot vision systems
Robotics and automation
Shape
Smoothing methods
Testing
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ISBN9780818608780
0818608781
DOI10.1109/ICPR.1988.28436

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Summary:A method is described for the recognition of partially occluded 2-D objects. This method considers a set of corners, parallel lines, and so on as typical features of an object. Possible candidate models are estimated from these features, and structural matching is performed between these models and features obtained from a picture by checking the combinations of various features. Even if the whole structure is not obtained due to a partial occlusion, the system can infer an object if some unique features of the object are obtained. Partial shapes and extracted lines are matched in detail with model candidates when they are limited to one or a few.< >
ISBN:9780818608780
0818608781
DOI:10.1109/ICPR.1988.28436