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Thesis

Balancing accuracy, speed and power in the computation of depth with stereo cameras

Abstract:

Many real-world applications in robotics and computer vision rely on the ability to acquire reliable 3-D information. Often, these systems also have strict requirements on the speed, latency, power consumption, form factor, usability and cost with which this capability is achieved. Although stereo cameras offer a cost-effective and versatile means of acquiring such depth information, using them involves computationally intensive processing over large amounts of data. At the same time, due ...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Torr Vision Group (TVG)
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0002-3592-2457

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Torr Vision Group (TVG)
Oxford college:
St Catherine's College
Role:
Supervisor
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Programme:
Networks for Initial Training (ITN)
Grant:
EDISON-GA (Grant agreement ID: 317497)
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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