Hermann, SimonKlette, Reinhard2009-06-152009-06-152009Multimedia Imaging Report 33 (2009)1178-5789http://hdl.handle.net/2292/4348You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original MI_tech website http://www.mi.auckland.ac.nz/index.php?option=com_content&view=article&id=127&Itemid=113 . All other rights are reserved by the author(s).This paper reports about the performance of various cost functions as common or possible for stereo matching, within a `purist's matching strategy', which does not integrate any further optimization approach such as a continuity term, coarse-to- ne, left/right consistency checks, or others. The performed experiments support a few general conclusions, such as about the relation between 1D- or 2D-window based cost functions, the use of zero-mean normalization, the census cost function, or the use of B-splines for subpixel accurate cost calculation.Copyright Computer Science Department, The University of Auckland. You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original CITR web site under terms that include this permission. All other rights are reserved by the author(s).https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htmThe Naked Truth about Cost FunctionsTechnical ReportFields of Research::280000 Information, Computing and Communication Scienceshttp://purl.org/eprint/accessRights/OpenAccess