Recognizing and locating polyhedral objects from sparse range data

A model-based approach is described for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretat...

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Hauptverfasser: Qiang, S., Mohr, R., Tombre, K.
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description A model-based approach is described for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretation is estimated. Once all the feasible models are transformed to the scene space, a strategy for additional scanning positions is developed to distinguish the object uniquely.< >
doi_str_mv 10.1109/ICPR.1988.28182
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ispartof [1988 Proceedings] 9th International Conference on Pattern Recognition, 1988, Vol.1, p.104-106 vol.1
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subjects Charge coupled devices
Charge-coupled image sensors
Computer Science
Computer Vision and Pattern Recognition
Face recognition
Geometry
Image recognition
Image segmentation
Layout
Lenses
Sampling methods
Solid modeling
title Recognizing and locating polyhedral objects from sparse range data
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