Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/682
Title: Camera pose estimation
Authors: Verma, Ishita
Saran, Nitika
Arora, Chetan (Advisor)
Keywords: Computer vision
Camera pose estimation
SLAM
Pose parametrization
Structure from motion
Tripod
Issue Date: 18-Apr-2017
Publisher: IIIT-Delhi
Abstract: Pose 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.
URI: http://repository.iiitd.edu.in/xmlui/handle/123456789/682
Appears in Collections:Year-2018

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