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dc.contributor.authorDobrucali O.en_US
dc.contributor.authorBarshan, B.en_US
dc.date.accessioned2016-02-08T12:17:10Z
dc.date.available2016-02-08T12:17:10Z
dc.date.issued2011en_US
dc.identifier.issn22195491
dc.identifier.urihttp://hdl.handle.net/11693/28312
dc.description.abstractModeling and representing 3-D environments require the transmission and storage of vast amount of measurements that need to be compressed efficiently. We propose a novel compression technique based on compressive sensing for 3-D range measurements that are found to be correlated with each other. The main issue here is finding a highly sparse representation of the range measurements, since they do not have highly sparse representations in common domains, such as the frequency domain. To solve this problem, we generate sparse innovations between consecutive range measurements along the axis of the sensor's motion. We obtain highly sparse innovations compared with other possible ones generated by estimation and filtering. Being a lossy technique, the proposed method performs reasonably well compared with widely used compression techniques. © 2011 EURASIP.en_US
dc.language.isoEnglishen_US
dc.source.titleEuropean Signal Processing Conferenceen_US
dc.subject3-D environmentsen_US
dc.subjectCompression methodsen_US
dc.subjectCompression techniquesen_US
dc.subjectCompressive sensingen_US
dc.subjectEstimation and filteringen_US
dc.subjectFrequency domainsen_US
dc.subjectIndoor environmenten_US
dc.subjectLaser range scanen_US
dc.subjectLossy techniquesen_US
dc.subjectRange measurementsen_US
dc.subjectSparse representationen_US
dc.subjectSignal reconstructionen_US
dc.subjectThree dimensionalen_US
dc.titleA compression method for 3-D laser range scans of indoor environments based on compressive sensingen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage1115en_US
dc.citation.epage1119en_US


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