A framework for statistical 3-D object recognition

Paulus D, Hornegger J, Niemann H (1997)

Publication Type: Journal article, Original article

Publication year: 1997

Journal

Pattern Recognition Letters Elsevier

Original Authors: Paulus D., Hornegger J., Niemann H.

Publisher: Elsevier

Book Volume: 18

Pages Range: 1153-1157

Journal Issue: null

DOI: 10.1016/S0167-8655(97)00139-6

Abstract

In this contribution we describe an object-oriented software architecture for image segmentation, 3-D pose estimation as well as Bayesian object recognition: models are represented by densities, model generation corresponds to parameter estimation tasks, and the identification applies the Bayesian decision rule. We show results of 3-D object recognition experiments based on the observation of 2-D points or lines. © 1997 Elsevier Science B.V.

Authors with CRIS profile

Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Heinrich Niemann Technische Fakultät

How to cite

APA:

Paulus, D., Hornegger, J., & Niemann, H. (1997). A framework for statistical 3-D object recognition. Pattern Recognition Letters, 18(null), 1153-1157. https://dx.doi.org/10.1016/S0167-8655(97)00139-6

MLA:

Paulus, Dietrich, Joachim Hornegger, and Heinrich Niemann. "A framework for statistical 3-D object recognition." Pattern Recognition Letters 18.null (1997): 1153-1157.

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