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Viewing Direction Classification: Application to View Planning

Riedel, Sebastian and Marton, Zoltan Csaba and Kriegel, Simon (2016) Viewing Direction Classification: Application to View Planning. In: ICRA 2016. Workshop on AI for Long-term Autonomy.. IEEE International Conference on Robotics and Automation. ICRA 2016. Workshop on AI for Long-term Autonomy., 16-20 May 2016, Stockholm, Sweden.

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Abstract

We present an information-theoretic approach for estimating the informativeness of an object's local geometry with respect to orientation estimation. Identifying the regions and viewing directions which show the most unambiguous local features is of interest for long-term autonomy as it enables to actively plan to observe these features as well as to actively select image frames out of passively acquired image streams.

Item URL in elib:https://elib.dlr.de/104243/
Document Type:Conference or Workshop Item (Poster)
Title:Viewing Direction Classification: Application to View Planning
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Riedel, SebastianSebastian.Riedel (at) dlr.dehttps://orcid.org/0000-0002-3655-2486
Marton, Zoltan Csabazoltan.marton (at) dlr.deUNSPECIFIED
Kriegel, SimonSimon.Kriegel (at) dlr.dehttps://orcid.org/0000-0003-4711-8527
Date:2016
Journal or Publication Title:ICRA 2016. Workshop on AI for Long-term Autonomy.
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:surface ambiguity, information theory, active perception
Event Title:IEEE International Conference on Robotics and Automation. ICRA 2016. Workshop on AI for Long-term Autonomy.
Event Location:Stockholm, Sweden
Event Type:Workshop
Event Dates:16-20 May 2016
Organizer:IEEE Robotics & Automation Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben Multisensorielle Weltmodellierung
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Perception and Cognition
Deposited By: Riedel, Sebastian
Deposited On:18 Jul 2016 15:05
Last Modified:31 Jul 2019 20:01

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