Translator Disclaimer
4 February 2010 View subspaces for indexing and retrieval of 3D models
Author Affiliations +
Proceedings Volume 7526, Three-Dimensional Image Processing (3DIP) and Applications; 75260M (2010) https://doi.org/10.1117/12.839186
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
View-based indexing schemes for 3D object retrieval are gaining popularity since they provide good retrieval results. These schemes are coherent with the theory that humans recognize objects based on their 2D appearances. The viewbased techniques also allow users to search with various queries such as binary images, range images and even 2D sketches. The previous view-based techniques use classical 2D shape descriptors such as Fourier invariants, Zernike moments, Scale Invariant Feature Transform-based local features and 2D Digital Fourier Transform coefficients. These methods describe each object independent of others. In this work, we explore data driven subspace models, such as Principal Component Analysis, Independent Component Analysis and Nonnegative Matrix Factorization to describe the shape information of the views. We treat the depth images obtained from various points of the view sphere as 2D intensity images and train a subspace to extract the inherent structure of the views within a database. We also show the benefit of categorizing shapes according to their eigenvalue spread. Both the shape categorization and data-driven feature set conjectures are tested on the PSB database and compared with the competitor view-based 3D shape retrieval algorithms.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Helin Dutagaci, Afzal Godil, Bülent Sankur, and Yücel Yemez "View subspaces for indexing and retrieval of 3D models", Proc. SPIE 7526, Three-Dimensional Image Processing (3DIP) and Applications, 75260M (4 February 2010); https://doi.org/10.1117/12.839186
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

LSAH a fast and efficient local surface feature for...
Proceedings of SPIE (April 10 2018)
Hough transform-based 3D mesh retrieval
Proceedings of SPIE (November 02 2001)
Salient local 3D features for 3D shape retrieval
Proceedings of SPIE (January 27 2011)
3D versus 2D/3D shape descriptors: a comparative study
Proceedings of SPIE (May 28 2004)
Shear invariant 3D model retrieval
Proceedings of SPIE (January 29 2007)
Sparse representation in speech signal processing
Proceedings of SPIE (November 13 2003)
Fast association-rule-based similarity search in 3D models
Proceedings of SPIE (November 11 2004)

Back to Top