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Authors: Sindharta Tanuwijaya and Yoshio Ohno

Affiliation: Keio University, Japan

ISBN: 978-989-8111-67-8

Keyword(s): Motion capture, Mocap, Camera.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Animation from Motion Capture ; Computer Vision, Visualization and Computer Graphics ; Human Figure Animation

Abstract: In recent years, the amount of mocap has accumulated due to its popularity in creating realistic human motions. However, such accumulation is yet to be accompanied by the development of a mocap search engine. In addition to the difficulty in processing mocap search, this phenomenon is also due to the problems in displaying mocap as search results, one of which is determining the camera position, orientation, and distance in displaying mocap. In this paper, we specify camera orientation and distance as constraints to determine camera positions by using available training data which are given as inputs into data mining techniques. In addition, we also discuss a method to select representative frames of mocap, thus allowing for the display of mocap search results as a list of sets of selected mocap frames. Finally, we employ a number of data mining techniques along with a simple method to determine the camera position which yields the widest projection area of a virtual face consisting hands and feet joints into the camera plane, and compare the results to each other. (More)

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Paper citation in several formats:
Tanuwijaya S.; Ohno Y. and (2009). DATA MINING APPROACH FOR POSITIONING CAMERA IN DISPLAYING MOCAP SEARCH RESULTS.In Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009) ISBN 978-989-8111-67-8, pages 266-273. DOI: 10.5220/0001769202660273

@conference{grapp09,
author={Sindharta Tanuwijaya and Yoshio Ohno},
title={DATA MINING APPROACH FOR POSITIONING CAMERA IN DISPLAYING MOCAP SEARCH RESULTS},
booktitle={Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009)},
year={2009},
pages={266-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001769202660273},
isbn={978-989-8111-67-8},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009)
TI - DATA MINING APPROACH FOR POSITIONING CAMERA IN DISPLAYING MOCAP SEARCH RESULTS
SN - 978-989-8111-67-8
AU - Tanuwijaya, S.
AU - Ohno, Y.
PY - 2009
SP - 266
EP - 273
DO - 10.5220/0001769202660273

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