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Authors: Marie Pelissier-Combescure ; Sylvie Chambon and Géraldine Morin

Affiliation: University of Toulouse, IRIT, Toulouse INP, France

Keyword(s): View-Dependent Saliency, Best View Selection, 3D Models/2D Images, User Study Evaluation.

Abstract: A viewpoint of a 3D object is the position from which we observe the object. A viewpoint always highlights some 3D parts and discards other parts of an object. Here, we define a good viewpoint as offering a relevant view of the object: a view that best showcases the object and that is the most representative of the object. Best view selection plays an essential role in many computer vision and virtual reality applications. In this paper, given a model and a particular viewpoint, we want to quantify its relevance -not aesthetics. We propose a geometric method for selecting the most relevant viewpoint for a 3D object by combining visibility and view-dependent saliency. Evaluating the quality of an estimated best viewpoint is a challenge. Thus, we propose an evaluation protocol that considers two different and complementary solutions: a user study with more than 200 participants to collect human preferences and an analysis of image dataset picturing objects of interest. This evaluation highlights the correlation between our method and human preferences. A quantitative comparison demonstrates the efficiency of our approach over reference methods. (More)

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Paper citation in several formats:
Pelissier-Combescure, M.; Chambon, S. and Morin, G. (2024). Most Relevant Viewpoint of an Object: A View-Dependent 3D Saliency Approach. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 482-491. DOI: 10.5220/0012379500003660

@conference{visapp24,
author={Marie Pelissier{-}Combescure. and Sylvie Chambon. and Géraldine Morin.},
title={Most Relevant Viewpoint of an Object: A View-Dependent 3D Saliency Approach},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={482-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012379500003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Most Relevant Viewpoint of an Object: A View-Dependent 3D Saliency Approach
SN - 978-989-758-679-8
IS - 2184-4321
AU - Pelissier-Combescure, M.
AU - Chambon, S.
AU - Morin, G.
PY - 2024
SP - 482
EP - 491
DO - 10.5220/0012379500003660
PB - SciTePress

- Science and Technology Publications, Lda.
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