DocumentCode :
3272703
Title :
Parallelized 45 degrees rotated image integration
Author :
Schweitzer, Michel ; Jaspers, Hanno ; Kubertschak, Tim ; Wuensche, Hans-Joachim
Author_Institution :
Tech. Autonomer Syst. (TAS), Univ. der Bundeswehr Munchen, Neubiberg, Germany
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
810
Lastpage :
814
Abstract :
In [1] Lienhart and Maydt introduced the calculation of rotated Haar-Wavelets by 45°. They showed that the extended set of possible wavelets improves the object recognition method of Viola et al. [2]. In this paper, we introduce a novel integral image structure which holds the information of a standard and a 45° rotated integral image. We use this image structure to improve a simple and efficient corner detector by Schweitzer and Wuensche [3] based on Haar wavelets in terms of rotational invariance and define an orientation function. Additionally, we focus on parallelization and remove the recursive character of [1] to make the method suitable for GPUs.
Keywords :
Haar transforms; edge detection; feature extraction; graphics processing units; object recognition; wavelet transforms; GPU; corner detector; integral image structure; object recognition method; parallelized 45 degrees rotated image integration; rotated Haar wavelet; rotational invariance; Computer vision; Detectors; Equations; Feature extraction; Mathematical model; Standards; Visualization; Feature Extraction; GPU; Integral Image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738167
Filename :
6738167
Link To Document :
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