Multi-scale depth from slope with weights

Saracchini, R. , Stolfi, J. , Leitão, H. , Atkinson, G. and Smith, M. (2010) Multi-scale depth from slope with weights. In: British Machine Vision Conference, Aberystwyth, Wales, September 2010., 40.1-40.12

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Publisher's URL: http://dx.doi.org/10.5244/C.24.40

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.

Item Type:Conference or Workshop Item (Poster)
Uncontrolled Keywords:multi-scale depth, slope, weights
Faculty/Department:Faculty of Environment and Technology > Department of Engineering Design and Mathematics
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology > Centre for Innovative Manufacturing and Machine Vision Systems
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Department of Engineering Design and Mathematics
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > The Machine Vision Laboratory
ID Code:11724
Deposited By: Dr G. Atkinson
Deposited On:23 Nov 2010 10:32
Last Modified:28 Nov 2012 17:47

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