dc.contributor.author | Smulders, Dehan | |
dc.contributor.author | Uren, Kenneth | |
dc.contributor.author | Van Schoor, George | |
dc.contributor.author | Van Daalen, Corné | |
dc.contributor.author | Engelbrecht, Japie | |
dc.date.accessioned | 2019-06-07T07:11:22Z | |
dc.date.available | 2019-06-07T07:11:22Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Smulders, D. et al. 2019. CREAK descriptor evaluation for visual odometry. Proceedings, 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA), Bloemfontein, South Africa, 28-30 Jan. Article no 8704807:188-193. [https://doi.org/10.1109/RoboMech.2019.8704807] | en_US |
dc.identifier.isbn | 978-1-7281-0369-3 (Online) | |
dc.identifier.uri | http://hdl.handle.net/10394/32604 | |
dc.identifier.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8704807 | |
dc.identifier.uri | https://doi.org/10.1109/RoboMech.2019.8704807 | |
dc.description.abstract | Each year, latest state of the art technologies and algorithms arise that claim and prove to-shine their predecessors. One such algorithm is the Colour-based Retina Key-point (CREAK) descriptor, which is based on the FAST Retina Key-point (FREAK) descriptor with the included functionality of considering colour information in its Key-point description. This paper explores the implementation of CREAK in a “real-time” visual odometry application by means of a comparative study of the more well-known FREAK algorithm. Although FREAK achieved more accurate odometry when key-points were abundant, this proved to be too computationally expensive. CREAK on the other hand outperformed FREAK when key-points are scarce due to its lack of false-positive matches | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | FREAK | en_US |
dc.subject | CREAK | en_US |
dc.subject | Visual odometry | en_US |
dc.subject | Feature descriptor | en_US |
dc.subject | Evaluation | en_US |
dc.title | CREAK descriptor evaluation for visual odometry | en_US |
dc.type | Presentation | en_US |
dc.contributor.researchID | 12064203 - Uren, Kenneth Richard | |
dc.contributor.researchID | 12134457 - Van Schoor, George | |
dc.contributor.researchID | 24058319 - Smulders, Dehan N. | |