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dc.contributor.advisorKamal Youcef-Toumi.en_US
dc.contributor.authorPaerhati, Parukuen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2018-01-12T20:57:07Z
dc.date.available2018-01-12T20:57:07Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/113117
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (page 48).en_US
dc.description.abstractVision is one of the most powerful senses available to creatures. Undoubtedly, many of the fundamental operations of humans, such as the ability to plan paths, avoid obstacles, and recognize objects, depend heavily on their visual perception of the world around them. Although humans have naturally evolved to efficiently use their stereo optical prowess to develop an understanding of their environment, artificial machines and systems in comparison have just begun to utilize computer vision to create awareness of local physical entities. One of the most important sensory skills creatures have is depth perception, which allows them to estimate the relative distance of objects in their vision from many visual cues. Many systems have been developed to aid machines in perceiving the depth map of their environment, and each system has its drawbacks and benefits. In this paper, we introduce the design and implementation of a new system which provides a depth map from the use of a single optical camera with focal plane variation in the images taken. The paper focuses on the methods used to scale the depth from focus algorithm to perform in real-time. The results also showcase a real-time depth mapping system capable of providing rich depth maps of scenes at a high framerate and with advanced noise filtration techniques.en_US
dc.description.statementofresponsibilityby Paruku Paerhati.en_US
dc.format.extent49 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleReal-time monocular depth mapping system using variance of focal plane and pixel focus measureen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc1016453717en_US


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