Revision as of 09:43, 29 September 2020

Abstract

The paper considers semi-global stereo matching in the context of vision-based driver assistance systems. The need for real-time performance in this field requires a design change of the originally proposed method to run on current hardware. This paper proposes such a new design; the novel strategy first generates a disparity map from half-resolution input images. The result is then used as prior to restrict the disparity search space for full-resolution computation. This approach is compared to an SGM strategy as employed currently in a state-of-the-art real-time FPGA solution. Furthermore, trinocular stereo evaluation is performed on ten real-world traffic sequences with a total of 4,000 trinocular frames. An extension to the original evaluation methodology is proposed to resolve ambiguities and to incorporate disparity density in a statistically meaningful way. Evaluation results indicate that the novel SGM method is up to 40% faster when compared to the previous strategy. It returns denser disparity maps, and is also more accurate on evaluated traffic scenes.

Document type: Part of book or chapter of book

Full document

Original document

The different versions of the original document can be found in:

• https://link.springer.com/content/pdf/10.1007%2F978-3-642-25367-6_35.pdf

• http://link.springer.com/content/pdf/10.1007/978-3-642-25367-6_35,http://dx.doi.org/10.1007/978-3-642-25367-6_35 under the license http://www.springer.com/tdm

• https://researchspace.auckland.ac.nz/handle/2292/24784,https://link.springer.com/chapter/10.1007/978-3-642-25367-6_35,https://dl.acm.org/citation.cfm?id=2178034,https://rd.springer.com/chapter/10.1007/978-3-642-25367-6_35,https://academic.microsoft.com/#/detail/1600748096