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Multi-scale depth from slope with weights

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

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Authors

Rafael Saracchini

Jorge Stolfi

Helena Leit�o

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Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof



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.

Citation

Saracchini, R., Stolfi, J., Leitão, H., Atkinson, G., & Smith, M. (2010, September). Multi-scale depth from slope with weights. Poster presented at British Machine Vision Conference, Aberystwyth, Wales

Presentation Conference Type Poster
Conference Name British Machine Vision Conference
Conference Location Aberystwyth, Wales
Start Date Sep 1, 2010
End Date Sep 1, 2010
Publication Date Sep 1, 2010
Deposit Date Nov 23, 2010
Publicly Available Date Mar 28, 2024
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

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