Segmentation of 3D articulated objects by dynamic grouping of discontinuities:

Abstract: "Segmentation of 3D articulated objects into a small number of parts is an important step for recognition of objects in 3D space. Range data provides ready-to-use information to derive a reasonably stable and accurate differential structure of the surfaces, which allow us to track dis...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Borges, Díbio L. (VerfasserIn), Fisher, Robert B. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Edinburgh 1993
Schriftenreihe:University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 643
Schlagworte:
Zusammenfassung:Abstract: "Segmentation of 3D articulated objects into a small number of parts is an important step for recognition of objects in 3D space. Range data provides ready-to-use information to derive a reasonably stable and accurate differential structure of the surfaces, which allow us to track discontinuities between these parts. We present a mixed and comprehensive approach to segmenting and extracting prototypical parts from 3D articulated objects. Discontinuity points detected from the images are combined using a 'snake-type' minimization technique, and deformable superquadric models are fitted to the resulting regions afterwards. We compare our approach with others for part-based segmentation."
Beschreibung:[9] S.

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