Page - 115 - in Proceedings - OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“

[9] G. Stu¨bl, B. Moser, and J. Scharinger, “On approximate nearest neighbour field algorithms in template matching for surface quality inspection,” in Computer Aided Systems Theory- EUROCAST 2013, pp.79–86,Springer, 2013. [10] F. C. Crow, “Summed-area tables for texture mapping,” ACM SIGGRAPH computer graphics, vol. 18,no. 3, pp. 207–212, 1984. [11] J. Hensley, T. Scheuermann, G. Coombe, M. Singh, and A. Lastra, “Fast summed-area table generation and its applications,” in Computer Graphics Forum, vol. 24, pp. 547–555, Wiley OnlineLibrary,2005. [12] P. Viola and M. J. Jones, “Robust real-time face detection,” International journal of computer vision, vol. 57,no. 2, pp. 137–154, 2004. [13] P. Viola and M. Jones, “Rapid object detection using a boosted cascade of simple features,” in Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer SocietyConference on, vol. 1, pp.511–518vol.1, 122001. [14] G.Stu¨bl, “Robustdefectdetectionfornear-regular texturesbasedonHermannWeyl ’ sdiscrep- ancymeasure,”122013. [15] M.J.FlynnandK.W.Rudd,“Parallelarchitectures,”ACMComput.Surv.,vol.28,no.1,pp.67– 70,1996. [16] N. Zhang, “Working towards efficient parallel computing of integral images on multi-core pro- cessors,” in Computer Engineering and Technology (ICCET), 2010 2nd International Confer- enceon, vol. 2, pp. 30–34, April 2010. [17] Intel, Intel 64 and IA-32 Architectures Software Developer’s Manual, Combined Volumes: 1, 2A,2B,2C, 3A, 3Band3C, June 2015. [18] G.E.Blelloch,“Prefixsumsandtheirapplications,” tech. rep.,SynthesisofParallelAlgorithms, 1990. [19] M. Harris, S. Sengupta, and J. D. Owens, “Parallel prefix sum (scan) with cuda,” GPU gems, vol. 3, no.39, pp. 851–876, 2007. [20] B. Bilgic, B. Horn, and I. Masaki, “Efficient integral image computation on the gpu,” in Intelli- gentVehiclesSymposium(IV), 2010 IEEE, pp.528–533, June2010. [21] J. L. Hennessy and D. A. Patterson, Computer architecture: a quantitative approach. San Francisco, California: MorganKaufmann,4ed., 2007. [22] H.Bay,T.Tuytelaars,andL.VanGool,“Surf: Speededuprobust features,” inComputervision– ECCV2006, pp. 404–417, Springer, 2006. [23] ARM,Cortex-A9NEONMediaProcessing Engine - TechnicalReferenceManual, June2012. [24] ARM,ARM Cortex-A Series -Programmer’sGuide forARMv8-A,March 2015. 115