{"id":167122,"date":"2013-07-01T00:00:00","date_gmt":"2013-07-01T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/spumic-simultaneous-phase-unwrapping-and-multipath-interference-cancellation-in-time-of-flight-cameras-using-spectal-methods\/"},"modified":"2018-10-16T21:41:33","modified_gmt":"2018-10-17T04:41:33","slug":"spumic-simultaneous-phase-unwrapping-and-multipath-interference-cancellation-in-time-of-flight-cameras-using-spectal-methods","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/spumic-simultaneous-phase-unwrapping-and-multipath-interference-cancellation-in-time-of-flight-cameras-using-spectal-methods\/","title":{"rendered":"SPUMIC: Simultaneous Phase Unwrapping and Multipath Interference Cancellation in Time-of-Flight Cameras using Spectal Methods"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We propose a framework for simultaneous phase unwrapping and multipath interference cancellation (SPUMIC) in homodyne time-of-flight (ToF) cameras. Our multi-frequency acquisition framework is based on parametric modeling of the multipath interference phenomena. We use robust spectral estimation methods with low computational complexity to detect and estimate multipath parameters. Using simulations and analysis we demonstrate that our proposed solution is implementable in real-time on existing ToF cameras without requiring any hardware modifications.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We propose a framework for simultaneous phase unwrapping and multipath interference cancellation (SPUMIC) in homodyne time-of-flight (ToF) cameras. Our multi-frequency acquisition framework is based on parametric modeling of the multipath interference phenomena. We use robust spectral estimation methods with low computational complexity to detect and estimate multipath parameters. Using simulations and analysis we demonstrate that [&hellip;]<\/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":"IEEE - Institute of Electrical and Electronics Engineers","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"IEEE Int'l Conference on Multimedia & Expo (ICME)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting\/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.","msr_conference_name":"IEEE Int'l Conference on Multimedia & Expo (ICME)","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Ahmed Kirmani, Arrigo Benedetti, Philip A. 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