By Topic

Sketch-based 3D model retrieval using compressive sensing classification

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yoon, S.M. ; Yonsei Inst. of Convergence Technol., Yonsei Univ., Incheon, South Korea ; Kuijper, A.

A sketch-based 3D model retrieval methodology by using compressive sensing (CS) is presented. The approach to search and automatically return a set of 3D mesh models from a large database consists of histogram of oriented gradient feature extraction from projected images of 3D models, and CS based classification technique. Experimental results show that the proposed 3D model retrieval is very efficient to search for the 3D models from user-drawn sketches including the variation of shape, pose, and view-points.

Published in:

Electronics Letters  (Volume:47 ,  Issue: 21 )