Please use this identifier to cite or link to this item:
http://repository.iiitd.edu.in/xmlui/handle/123456789/682Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Verma, Ishita | |
| dc.contributor.author | Saran, Nitika | |
| dc.contributor.author | Arora, Chetan (Advisor) | |
| dc.date.accessioned | 2018-09-25T08:38:46Z | |
| dc.date.available | 2018-09-25T08:38:46Z | |
| dc.date.issued | 2017-04-18 | |
| dc.identifier.uri | http://repository.iiitd.edu.in/xmlui/handle/123456789/682 | |
| dc.description.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. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | IIIT-Delhi | en_US |
| dc.subject | Computer vision | en_US |
| dc.subject | Camera pose estimation | en_US |
| dc.subject | SLAM | en_US |
| dc.subject | Pose parametrization | en_US |
| dc.subject | Structure from motion | en_US |
| dc.subject | Tripod | en_US |
| dc.title | Camera pose estimation | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | Year-2018 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ishita Verma_2014051, Nitika Saran_2014068.pdf Restricted Access | 4.88 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.