Multi-scale depth from slope with weights

Saracchini, Rafael; Stolfi, Jorge; Leit�o, Helena; Atkinson, Gary; Smith, Melvyn

Abstract

We describe a robust method to recover the depth coordinate from a normal or slope map of a scene, obtained e.g. through photometric stereo or interferometry. The key feature of our method is the fast solution of the Poisson-like integration equations by a multi-scale iterative technique. The method accepts a weight map that can be used to exclude regions where the slope information is missing or untrusted, and to allow the integration of height maps with linear discontinuities (such as along object silhouettes) which are not recorded in the slope maps. Except for pathological cases, the memory and time costs of our method are typically proportional to the number of pixels N. Tests show that our method is as accurate as the best weighted slope integrators, but substantially more efficient in time and space.

• Presentation Conference Type: Poster
• Conference Name: British Machine Vision Conference
• Start Date: Sep 1, 2010
• End Date: Sep 1, 2010
• Publication Date: Sep 1, 2010
• Deposit Date: Nov 23, 2010
• Publicly Available Date: Apr 12, 2016
• Peer Reviewed: Peer Reviewed
• Pages: 40.1-40.12
• Keywords: multi-scale depth, slope, weights
• Public URL: https://uwe-repository.worktribe.com/output/975373
• Publisher URL: http://dx.doi.org/10.5244/C.24.40
• Related Public URLs: http://dx.doi.org/10.5244/C.24.40
• Additional Information: Title of Conference or Conference Proceedings : British Machine Vision Conference
• Contract Date: Apr 12, 2016