Conference contribution


Resource-Aware Harris Corner Detection Based on Adaptive Pruning


Publication Details
Author(s): Paul J, Stechele W, Kröhnert M, Asfour T, Oechslein B, Erhardt C, Schedel J, Lohmann D, Schröder-Preikschat W
Title edited volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher: Springer
Publishing place: Basel
Publication year: 2014
Title of series: Lecture Notes in Computer Science
Volume: 8350
Conference Proceedings Title: Architecture of Computing Systems – ARCS 2014
Pages range: 1-12
ISBN: 978-3-319-04890-1
ISSN: 0302-9743

Event details
Event: ARCS 2014
Event location: Lübeck, Germany
Start date of the event: 25/02/2014
End date of the event: 28/02/2014

Abstract

Corner-detection techniques are being widely used in computer vision - for example in object recognition to find suitable candidate points for feature registration and matching. Most computer-vision applications have to operate on real-time video sequences, hence maintaining a consistent throughput and high accuracy are important constrains that ensure high-quality object recognition. A high throughput can be achieved by exploiting the inherent parallelism within the algorithm on massively parallel architectures like many-core processors. However, accelerating such algorithms on many-core CPUs offers several challenges as the achieved speedup depends on the instantaneous load on the processing elements. In this work, we present a new resource-aware Harris corner-detection algorithm for many-core processors. The novel algorithm can adapt itself to the dynamically varying load on a many-core processor to process the frame within a predefined time interval. The results show a 19% improvement in throughput and an 18% improvement in accuracy. © 2014 Springer International Publishing Switzerland.



How to cite
APA: Paul, J., Stechele, W., Kröhnert, M., Asfour, T., Oechslein, B., Erhardt, C.,... Schröder-Preikschat, W. (2014). Resource-Aware Harris Corner Detection Based on Adaptive Pruning. In Architecture of Computing Systems – ARCS 2014 (pp. 1-12). Basel: Springer.

MLA: Paul, Johny, et al. "Resource-Aware Harris Corner Detection Based on Adaptive Pruning." Proceedings of the ARCS 2014, Lübeck, Germany Basel: Springer, 2014. 1-12.

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