View subspaces for indexing and retrieval of 3D models

Details View subspaces for indexing and retrieval of 3D models View subspaces for indexing and retrieval of 3D models

2011-05-13

arxiv.org/abs/1105.2795v1

Computer Science

Computer Vision and Pattern Recognition

Three-Dimensional Image Processing (3DIP) and Applications (Proceedings Volume) Proceedings of SPIE Volume: 7526 Editor(s): At

Scientific paper

10.1117/12.839186

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

Affiliated with

Also associated with

No associations

Rating

View subspaces for indexing and retrieval of 3D models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with View subspaces for indexing and retrieval of 3D models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and View subspaces for indexing and retrieval of 3D models will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-27985