3D object exploration using viewpoint and mesh saliency entropies

Serin, Ekrem and Döğer, Candemir and Balcısoy, Selim (2011) 3D object exploration using viewpoint and mesh saliency entropies. In: 26th International Symposium on Computer and Information Sciences (ISCIS 2011), London, UK

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Official URL: http://dx.doi.org/10.1007/978-1-4471-2155-8_38


This paper introduces a technique to inspect a 3D object in a scene with minimal loss of information. We exploit the concept of the viewpoint entropy and introduce a novel view descriptor called mesh saliency entropy to explore the object by finding a minimal set of camera positions that covers the maximum information. Here we present a greedy choice algorithm which tries to detect a sub-optimal N-best views using the combination of mesh saliency entropy and viewpoint entropy to perceive the information communicated by the object. The main contribution is that the object can be examined with minimal loss of information for which can be used in scientific and medical analysis.

Item Type:Papers in Conference Proceedings
ID Code:18326
Deposited By:Selim Balcısoy
Deposited On:06 Jan 2012 11:07
Last Modified:31 Jul 2019 09:25

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