Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/682
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dc.contributor.authorVerma, Ishita
dc.contributor.authorSaran, Nitika
dc.contributor.authorArora, Chetan (Advisor)
dc.date.accessioned2018-09-25T08:38:46Z
dc.date.available2018-09-25T08:38:46Z
dc.date.issued2017-04-18
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/682
dc.description.abstractPose estimation is a fundamental problem in computer vision and is prevalent in numerous applications such as object-detection, tracking etc. Generally, in pose estimation between two camera views, we have 6 degrees of freedom - 3 rotational and 3 translational parameters. But in some cases, we can enforce extra constraints such as a fixed axis of rotation. We can thus frame our problem in terms of fewer parameters. In this report we discuss some of these special cases and how we can perform pose estimation better for such cases.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectComputer visionen_US
dc.subjectCamera pose estimationen_US
dc.subjectSLAMen_US
dc.subjectPose parametrizationen_US
dc.subjectStructure from motionen_US
dc.subjectTripoden_US
dc.titleCamera pose estimationen_US
dc.typeOtheren_US
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