Thesis
Learning to understand large-scale 3D point clouds
- Abstract:
-
Giving machines the ability to precisely perceive and understand the 3D visual world is the fundamental step to allow them to interact competently within our physical world. However, the research on large-scale 3D scene understanding and perception is still in its infancy, due to the complex geometrical structure of 3D shapes and limited high-quality data resources. Among various 3D representations, point clouds have attracted increasing attention due to its flexibility, compactness, and t...
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Authors
Contributors
+ Trigoni, A
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Sub department:
- Computer Science
- Oxford college:
- St Hugh's College
- Role:
- Supervisor
+ Markham, A
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Sub department:
- Computer Science
- Oxford college:
- St Hugh's College
- Role:
- Supervisor
+ Kwiatkowska, M
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Sub department:
- Computer Science
- Oxford college:
- St Hugh's College
- Role:
- Examiner
- ORCID:
- 0000-0001-9022-7599
+ Calway, A
- Division:
- MPLS
- Department:
- Computer Science
- Sub department:
- Computer Science
- Oxford college:
- St Hugh's College
- Role:
- Examiner
+ China Scholarship Council
More from this funder
- Funder identifier:
- http://dx.doi.org/10.13039/501100004543
- Grant:
- 201803170259
- Programme:
- China Scholarship Council Award
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2023-04-27
Terms of use
- Copyright holder:
- Qingyong, H
- Copyright date:
- 2022
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