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Towards Stable and Salient Multi-View Representation of 3D Shapes

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45769

Yamauchi,  Hitoshi
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45337

Saleem,  Waqar
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45777

Yoshizawa,  Shin
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44736

Karni,  Zachi
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44112

Belyaev,  Alexander
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

Spagnuolo,  M.
Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44112

Belyaev,  A.
Computer Graphics, MPI for Informatics, Max Planck Society;

Suzuki,  H.
Max Planck Society;

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Zitation

Yamauchi, H., Saleem, W., Yoshizawa, S., Karni, Z., Belyaev, A., & Seidel, H.-P. (2006). Towards Stable and Salient Multi-View Representation of 3D Shapes. In IEEE International Conference on Shape Modeling and Applications 2006 (SMI 2006) (pp. 265-270). Los Alamitos, USA: IEEE.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-244E-F
Zusammenfassung
An approach to automatically select stable and salient representative views of a given 3D object is proposed. Initially, a set of viewpoints are uniformly sampled from the surface of a bounding sphere. The sampled viewpoints are connected to their closest points to form a spherical graph in which each edge is weighted by a similarity measure between the two views from its incident vertices. Partitions of similar views are obtained using a graph partitioning procedure and their ``centroids'' are considered to be their representative views. Finally, the views are ranked based on a saliency measure to form the object's representative views. This leads to a compact, human-oriented 2D description of a 3D object, and as such, is useful both for traditional applications like presentation and analysis of 3D shapes, and for emerging ones like indexing and retrieval in large shape repositories.