On recognition of 3-D objects from 2-D images

On recognition of 3-D objects from 2-D images

Techniques are described for model-based recognition of 3-D objects from unknown viewpoints using single gray-scale images. The method is especially useful for recognition of scenes with overlapping and partially occluded objects. An efficient matching algorithm, which assumes affine approximation t...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Lamdan, Y., Schwatrtz, J.T., Wolfson, H.J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Approximation algorithms
Image recognition
Jacobian matrices
Laboratories
Layout
Object recognition
Production facilities
Robot vision systems
Service robots
Testing
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Beschreibung
Zusammenfassung:Techniques are described for model-based recognition of 3-D objects from unknown viewpoints using single gray-scale images. The method is especially useful for recognition of scenes with overlapping and partially occluded objects. An efficient matching algorithm, which assumes affine approximation to the perspective viewing transformation, is proposed. The algorithm has an off line model preprocessing phase and a recognition phase to reduce matching complexity. The algorithm was successfully tested in recognition of flat industrial objects appearing in composite occluded scenes.< >
DOI:10.1109/ROBOT.1988.12264