Events record dynamic changes in environments. They are sparse, but an important information source that draw our attention and make us aware of the dynamic surroundings. Event cameras, inspired by our retina’s perception of changes, are invented to capture such intensity changes in the world asynchronously. Compared to the conventional frame-based cameras, event cameras have advantages in high temporal resolution and low latency (in microseconds), low power, and high dynamic ranges, making them potentially applicable in challenging scenarios for conventional cameras. There has been growing interest and emerging research in event-based visual processing. However, how to effectively integrate the event information for computer vision and robot tasks is still an open question.
This project will explore the use of event cameras to improve visual understanding in complex environments. Complex environments, such as bars, forests, etc., often have changing lighting conditions, moving objects, and severe occlusions, all of which pose challenges to get complete information about the world. The high dynamic nature of these environments requires efficient and effective handling of changes, where events captured by event cameras can provide useful guidance. Our hypotheses include event-informed attention field to eliminate visual clutters for more efficient visual understanding, and the continuity in events to provide effective data association for object detection and tracking.
The student will have access to a newly purchased DAVIS event camera, and will look into 1) the processing and representation of events; 2) data association between the event space and the camera frame space; and 3) the integration of associated event information into visual understanding tasks such as object detection and tracking.
Keywords: visual understanding, event camera
[Contact for information on the project: [Email Address Removed]]
Academic criteria: A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.
Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.
Application Information: If you would like to be considered for the School Funded Application, please submit your application before the 30th June 2021.
In the funding field of your application, insert “I am applying for 2021 PhD Scholarship in Computer Science and Informatics”, and specify the project title and supervisors of this project in the text box provided.
Apply online: https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics - Please read the "How to apply" instructions carefully prior to application.
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