A GPGPU accelerated descriptor for mobile devices

We present a modified upright SURF feature descriptor for mobile phone GPUs. Our implementation called uSURF-ES is multiple times faster than a comparable CPU variant on the same device. Our results proof the feasibility of modern mobile graphics accelerators for GPGPU tasks especially for the detec...

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Bibliographic Details
Published in:2012 IEEE International Symposium on Mixed and Augmented Reality pp. 289 - 290
Main Authors: Hofmann, R., Seichter, H., Reitmayr, G.
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2012
Subjects:
and virtual realities
Androids
augmented
Augmented reality
Encoding
Feature extraction
Graphics processing units
H.5.1 [INFORMATION INTERFACES AND PRESENTATION]: Multimedia Information Systems-Artificial
K.7.m [IMAGE PROCESSING AND COMPUTER VISION]: Segmentation-Edge and feature detection
Mobile communication
Mobile handsets
ISBN:9781467346603, 1467346608
Online Access:Get full text
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Summary:We present a modified upright SURF feature descriptor for mobile phone GPUs. Our implementation called uSURF-ES is multiple times faster than a comparable CPU variant on the same device. Our results proof the feasibility of modern mobile graphics accelerators for GPGPU tasks especially for the detection phase in natural feature tracking used in Augmented Reality applications.
ISBN:9781467346603
1467346608
DOI:10.1109/ISMAR.2012.6402578