A stereo model using LOG and Gabor filtering

Authors: Jin, Jesse S.1; Yeap, W.K.2; Cox, B.G.2

Source: Spatial Vision, Volume 10, Number 1, 1996 , pp. 3-13(11)

Publisher: VSP, an imprint of Brill

Key:
Free Content - Free Content
New Content - New Content
Subscribed Content - Subscribed Content
Free Trial Content - Free Trial Content

Abstract:

This paper presents a computational model for stereopsis. Laplacian of Gaussian filters are used to extract spatial features and a set of one-octave Gabor filters is used to extract orientation information from a scene. A mapping from a 3D space onto two 2D image planes is derived using a Gaussian sphere model. The determinant of the Jacobian of the mapping is derived and matching is performed using zero-crossings associated with their orientation information. Relaxation labelling is used as a co-operative process for solving the correspondence problem.

Document Type: Research article

DOI: 10.1163/156856896X00024

Affiliations: 1: School of Computer Science and Engineering, University of New South Wales, Sydney 2052, Australia 2: AI Lab. Computer and Information Science, University of Otago, Dunedin, New Zealand

The full text electronic article is available for purchase. You will be able to download the full text electronic article after payment.

$25.00 plus tax      Refund Policy

 

OR

Back to top

Key:
Free Content - Free Content
New Content - New Content
Subscribed Content - Subscribed Content
Free Trial Content - Free Trial Content
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages.
Page Help Click here for Page Help
Shopping cart
Tools
Sign in






Need to register?
Sign up here
Text size: A | A | A | A