By Topic

Metric depth recovery from monocular images using Shape-from-Shading and specularities

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 $13
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

3 Author(s)
Visentini-Scarzanella, M. ; Commun. & Signal Process. Group, Imperial Coll. London, London, UK ; Stoyanov, D. ; Guang-Zhong Yang

Despite recent advances in modeling the Shape-from-Shading (SFS) problem and its numerical solution, practical applications have been limited. This is primarily due to the lack of perspective SFS models without the assumption of a light source at the camera centre and the non-metric spatial localisation of the reconstructed shape. In this work, we propose a novel formulation of the SFS problem that allows the reconstruction of surfaces lit by a near point light source away from the camera centre. We also show how knowledge of the light source position can enable the recovery of depth information in a metric space by triangulating specular highlights. Validation of the proposed technique is reported on synthetic and endoscopic images.

Published in:

Image Processing (ICIP), 2012 19th IEEE International Conference on

Date of Conference:

Sept. 30 2012-Oct. 3 2012