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Alternative confidence measure for local matching stereo algorithms

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dc.contributor.author Ndhlovu, T
dc.contributor.author Nicolls, F
dc.date.accessioned 2009-12-03T12:12:52Z
dc.date.available 2009-12-03T12:12:52Z
dc.date.issued 2009-11
dc.identifier.citation Ndhlovu, T and Nicolls, F. 2009. Alternative confidence measure for local matching stereo algorithms. 3rd Robotics and Mechatronics Symposium (ROBMECH 2009). Pretoria, South Africa, 8-10 November 2009, pp 5 en
dc.identifier.isbn 9780620447218
dc.identifier.uri http://hdl.handle.net/10204/3791
dc.description 3rd Robotics and Mechatronics Symposium (ROBMECH 2009). Pretoria, South Africa, 8-10 November 2009 en
dc.description.abstract The authors present a confidence measure applied to individual disparity estimates in local matching stereo correspondence algorithms. It aims at identifying textureless areas, where most local matching algorithms fail. The confidence measure works by analyzing the correlation curve produced during the matching process. The authors also test the confidence measure by developing an easily parallelized local matching algorithm, and use our confidence measure to filter out unreliable disparity estimates. Using the Middlebury dataset and our own evaluation scheme, the results show that the confidence measure significantly decreases the disparity estimate errors at a low computational overhead. en
dc.language.iso en en
dc.subject Confidence measure en
dc.subject Stereo algorithms en
dc.subject Robotics en
dc.title Alternative confidence measure for local matching stereo algorithms en
dc.type Conference Presentation en
dc.identifier.apacitation Ndhlovu, T., & Nicolls, F. (2009). Alternative confidence measure for local matching stereo algorithms. http://hdl.handle.net/10204/3791 en_ZA
dc.identifier.chicagocitation Ndhlovu, T, and F Nicolls. "Alternative confidence measure for local matching stereo algorithms." (2009): http://hdl.handle.net/10204/3791 en_ZA
dc.identifier.vancouvercitation Ndhlovu T, Nicolls F, Alternative confidence measure for local matching stereo algorithms; 2009. http://hdl.handle.net/10204/3791 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Ndhlovu, T AU - Nicolls, F AB - The authors present a confidence measure applied to individual disparity estimates in local matching stereo correspondence algorithms. It aims at identifying textureless areas, where most local matching algorithms fail. The confidence measure works by analyzing the correlation curve produced during the matching process. The authors also test the confidence measure by developing an easily parallelized local matching algorithm, and use our confidence measure to filter out unreliable disparity estimates. Using the Middlebury dataset and our own evaluation scheme, the results show that the confidence measure significantly decreases the disparity estimate errors at a low computational overhead. DA - 2009-11 DB - ResearchSpace DP - CSIR KW - Confidence measure KW - Stereo algorithms KW - Robotics LK - https://researchspace.csir.co.za PY - 2009 SM - 9780620447218 T1 - Alternative confidence measure for local matching stereo algorithms TI - Alternative confidence measure for local matching stereo algorithms UR - http://hdl.handle.net/10204/3791 ER - en_ZA


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