Recognizing and locating polyhedral objects from sparse range data

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Qiang, S., Mohr, R., Tombre, K.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung: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:10.1109/ICPR.1988.28182