Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ji, G., Shen, H.W.: Dynamic view selection for time-varying volumes. IEEE Trans. Vis. Comput. Graph. 1109–1116 (2006)
Bulbul, A., Koca, C., Çapin, T.K., Güdükbay, U.: Saliency for animated meshes with material properties. ACM Proceedings of APGV, 81–88 (2010)
Mühler, K., Neugebauer, M., Tietjen, C., Preim, B.: Viewpoint selection for intervention planning. EuroVis by Eurographics, 267–274 (2007)
Vázquez, P.P., Feixas, M., Sbert, M., Heidrich, W.: Viewpoint selection using viewpoint entropy. VMV Proceedings, 273–280 (2001)
Shannon, C.E.: A mathematical thoery of communication. Bell Sys. Tech. J. 287, 379–423 (1948)
Lee, C.H., Varshney, A., Jacobs, D.W.: Mesh saliency ACM. Trans. Graph. 24, 659–666 (2005)
Vázquez, P.P., Sbert, M.: Fast adaptive selection of best views. ICCSA 2003-3, 295–305. Lecture Notes in Computer Science-2669 by (Springer 2003)
Vázquez, P.P., Feixas, M., Sbert, M., Llobet, A.: Realtime automatic selection of good molecular views. Comput. Graph. 30, 98–110 (2006)
Kamada, T., Kawai, S.: A simple method for computing general position in displaying three-dimensional objects. Comput. Vis. Graph. Image Process. 41, 43–56 (1988)
Takahashi, S., Fujishiro, I., Takeshima, Y., Nishita, T.: A Feature-driven approach to locating optimal viewpoints for volume visualization. IEEE Visualization, IEEE Computer Society (2005).
Bordoloi, U., Shen, H.W.: View selection for volume rendering. IEEE Visualization by IEEE Computer Society (2005)
Castelló, P., Sbert, M., Chover, M., Feixas, M.: Techniques for computing viewpoint entropy of a 3D scene. International conference on computational science. Lecture Notes in Computer Science-3992, 263–270 (2006)
Itti, I., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20, 1254–1259 (1998)
Taubin, G.: Estimating the tensor of curvature of a surface from a polyhedral approximation. ICCV, 902–907 (1995)
Acknowledgement
This research is supported by Turkish Scientific and Technological Research Council (TUBITAK) research grant 109E022.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag London Limited
About this paper
Cite this paper
Serin, E., Doger, C., Balcisoy, S. (2011). 3D Object Exploration Using Viewpoint and Mesh Saliency Entropies. In: Gelenbe, E., Lent, R., Sakellari, G. (eds) Computer and Information Sciences II. Springer, London. https://doi.org/10.1007/978-1-4471-2155-8_38
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2155-8_38
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2154-1
Online ISBN: 978-1-4471-2155-8
eBook Packages: EngineeringEngineering (R0)