Object Recognition and Pose Estimation on Embedded Hardware : SURF-Based System Designs Accelerated by FPGA Logic
Joint Authors
Kiefer, Gundolf
Hornung, Ulrich
Schaeferling, Michael
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-06
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
State-of-the-art object recognition and pose estimation systems often utilize point feature algorithms, which in turn usually require the computing power of conventional PC hardware.
In this paper, we describe two embedded systems for object detection and pose estimation using sophisticated point features.
The feature detection step of the “Speeded-up Robust Features (SURF)” algorithm is accelerated by a special IP core.
The first system performs object detection and is completely implemented in a single medium-size Virtex-5 FPGA.
The second system is an augmented reality platform, which consists of an ARM-based microcontroller and intelligent FPGA-based cameras which support the main system.
American Psychological Association (APA)
Schaeferling, Michael& Hornung, Ulrich& Kiefer, Gundolf. 2012. Object Recognition and Pose Estimation on Embedded Hardware : SURF-Based System Designs Accelerated by FPGA Logic. International Journal of Reconfigurable Computing،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-466447
Modern Language Association (MLA)
Schaeferling, Michael…[et al.]. Object Recognition and Pose Estimation on Embedded Hardware : SURF-Based System Designs Accelerated by FPGA Logic. International Journal of Reconfigurable Computing No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-466447
American Medical Association (AMA)
Schaeferling, Michael& Hornung, Ulrich& Kiefer, Gundolf. Object Recognition and Pose Estimation on Embedded Hardware : SURF-Based System Designs Accelerated by FPGA Logic. International Journal of Reconfigurable Computing. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-466447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466447