Stereo matching algorithms conventionally match over a
\nrange of disparities sufficient to encompass all visible 3D
\nscene points. Human vision however does not do this. It
\nworks over a narrow band of disparities \u2014 Panum\u2019s fusional
\nband \u2014 whose typical range may be as little as 1\/20
\nof the full range of disparities for visible points. Points inside
\nthe band are fused visually and the remainder of points
\nare seen as \u201cdiplopic\u201d \u2014 that is with double vision. The
\nPanum band restriction is important also in machine vision,
\nboth with active (pan\/tilt) cameras, and with high resolution
\ncameras and digital pan\/tilt.
\nA probabilistic approach is presented for dense stereo
\nmatching under the Panum band restriction. First it is
\nshown that existing dense stereo algorithms are inadequate
\nin this problem setting. Secondly it is shown that the main
\nproblem is segmentation, separating the (left) image into
\nthe areas that fall respectively inside and outside the band.
\nThirdly, an approximation is derived that makes up for missing
\nout-of-band information with a \u201cproxy\u201d based on image
\nautocorrelation. Lastly it is shown that the Panum Proxy
\nalgorithm achieves accuracy close to what can be obtained
\nwhen the full disparity band is available.<\/p>\n","protected":false},"excerpt":{"rendered":"
Stereo matching algorithms conventionally match over a range of disparities sufficient to encompass all visible 3D scene points. Human vision however does not do this. It works over a narrow band of disparities \u2014 Panum\u2019s fusional band \u2014 whose typical range may be as little as 1\/20 of the full range of disparities for visible […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"Proceedings of the IEEE International Conference on Computer Vision & Pattern Recognition","msr_chapter":"","msr_edition":"Proceedings of the IEEE International Conference on Computer Vision & Pattern Recognition","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"2339\u20132346","msr_page_range_start":"2339","msr_page_range_end":"2346","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of the IEEE International Conference on Computer Vision & Pattern Recognition","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"A. 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