{"id":330968,"date":"1997-05-01T12:58:27","date_gmt":"1997-05-01T19:58:27","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=330968"},"modified":"2018-10-16T19:57:17","modified_gmt":"2018-10-17T02:57:17","slug":"efficient-multiscale-template-matching-orthogonal-wavelet-decompositions","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/efficient-multiscale-template-matching-orthogonal-wavelet-decompositions\/","title":{"rendered":"E\u000efficient Multiscale Template Matching with Orthogonal Wavelet Decompositions"},"content":{"rendered":"<p><span style=\"margin: 0px; font-family: 'T13',sans-serif; font-size: 12pt;\"><span style=\"color: #000000;\">I develop a method for efficient, multiscale template matching using orthogonal wavelet representations. I also develop an efficient approximate mechanism for initially finding the \\correct&#8221; values for the basis coefficients <\/span><\/span>a<em>jk <\/em><span style=\"margin: 0px; font-family: 'T13',sans-serif; font-size: 12pt;\"><span style=\"color: #000000;\">at the finest scale (as opposed to using the sample values as coefficients). I then present applications of these techniques to two important image coding\/computer vision tasks: motion estimation and multiple model matching (model recognition).<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I develop a method for efficient, multiscale template matching using orthogonal wavelet representations. I also develop an efficient approximate mechanism for initially finding the \\correct&#8221; values for the basis coefficients ajk at the finest scale (as opposed to using the sample values as coefficients). I then present applications of these techniques to two important image [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13561],"msr-publication-type":[193718],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-330968","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-algorithms","msr-locale-en_us"],"msr_publishername":"Perceptual Computing Section, The MIT Media Laboratory","msr_edition":"Massachusetts Institute of Technology Technical Report. May, 1007.","msr_affiliation":"","msr_published_date":"1997-05-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"MSR-TR-1997-6","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"Massachusetts Institute of Technology Technical Report. 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