Resource-Aware Harris Corner Detection Based on Adaptive Pruning

Paul J, Stechele W, Kröhnert M, Asfour T, Oechslein B, Erhardt C, Schedel J, Lohmann D, Schröder-Preikschat W (2014)

Publication Type: Conference contribution

Publication year: 2014

Publisher: Springer

Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Series: Lecture Notes in Computer Science

City/Town: Basel

Book Volume: 8350

Pages Range: 1-12

Conference Proceedings Title: Architecture of Computing Systems – ARCS 2014

Event location: Lübeck, Germany DE

ISBN: 978-3-319-04890-1

DOI: 10.1007/978-3-319-04891-8

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.

Authors with CRIS profile

Benjamin Oechslein Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Christoph Erhardt Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Jens Schedel Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Daniel Lohmann Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Wolfgang Schröder-Preikschat Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Karlsruhe Institute of Technology (KIT) DE Germany (DE)

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). Lübeck, Germany, DE: 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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