Evaluation of Stereo Confidence Measures on Synthetic and Recorded Image Data

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Title

Evaluation of Stereo Confidence Measures on Synthetic and Recorded Image Data

Content partner

The University of Auckland Library

Collection

ResearchSpace@Auckland

Description

We comparatively discuss a set of confidence measures for stereo analysis by testing them on semi-global matching (SGM) cost functions. The aim is a prediction of (potentially) erroneous areas in calculated disparity maps. The evaluation is done by using the sparsification technique which provides more information than commonly used RMS or NCC measures. We also present an approach for combining different confidence measures. This allows us to perform a quantisation of confidence estimates in ...

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Format

Research paper

Research format

Conference item

Date created

2012-01-01

Creator

Haeusler, Ralf / Klette, Reinhard

URL

http://hdl.handle.net/2292/24754

Related subjects

Science & Technology / Technology / Computer Science, Information Systems / Engineering, Electrical & Electronic / Computer Science / Engineering / CORRESPONDENCE ALGORITHMS / MUTUAL INFORMATION

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