DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

On the use of the tree structure of depth levels for comparing 3D object views

Bracci, Fabio and Hillenbrand, Ulrich and Marton, Zoltan-Csaba and Wilkinson, Michael H. F. (2017) On the use of the tree structure of depth levels for comparing 3D object views. In: Computer Analysis of Images and Patterns, CAIP 2017, Pt I, 10424, pp. 251-263. Springer. International Conference on Computer Analysis of Images and Patterns 2017, Ystad, Schweden. doi: 10.1007/978-3-319-64689-3_21.

[img] PDF


Today the simple availability of 3D sensory data, the evolution of 3D representations, and their application to object recognition and scene analysis tasks promise to improve autonomy and flexibility of robots in several domains. However, there has been little research into what can be gained through the explicit inclusion of the structural relations between parts of objects when quantifying similarity of their shape, and hence for shape-based object category recognition. We propose a Mathematical Morphology inspired hierarchical decomposition of 3D object views into peak components at evenly spaced depth levels, casting the 3D shape similarity problem to a tree of more elementary similarity problems. The matching of these trees of peak components is here compared to matching the individual components through optimal and greedy assignment in a simple feature space, trying to find the maximum-weight-maximal-match assignments. The matching thus achieved provides a metric of total shape similarity between object views. The three matching strategies are evaluated and compared through the category recognition accuracy on objects from a public set of 3D models. It turns out that all three methods yield similar accuracy on the simple features we used, while the greedy method is fastest.

Item URL in elib:https://elib.dlr.de/116791/
Document Type:Conference or Workshop Item (Poster)
Title:On the use of the tree structure of depth levels for comparing 3D object views
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Marton, Zoltan-CsabaUNSPECIFIEDhttps://orcid.org/0000-0002-3035-493X
Wilkinson, Michael H. F.Johann Bernoulli Institute for Mathematics and Computer Science, University of GroningenUNSPECIFIED
Journal or Publication Title:Computer Analysis of Images and Patterns, CAIP 2017, Pt I
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 251-263
Series Name:Lecture Notes in Computer Science
Keywords:3D shape similarity, tree matching, mathematical morphology, object recognition, scene analysis
Event Title:International Conference on Computer Analysis of Images and Patterns 2017
Event Location:Ystad, Schweden
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Vorhaben Multisensorielle Weltmodellierung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Perception and Cognition
Deposited By: Hillenbrand, Ulrich
Deposited On:08 Dec 2017 08:29
Last Modified:31 Jul 2019 20:14

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.