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Efficient Variable Size Template Matching Using Fast Normalized Cross Correlation on Multicore Processors

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Advanced Computing, Networking and Security (ADCONS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7135))

Abstract

Normalized Cross Correlation (NCC) is an efficient and robust way for finding the location of a template in given image. However NCC is computationally expensive. Fast normalized cross correlation (FNCC) makes use of pre-computed sum-tables to improve the computational efficiency of NCC. In this paper we propose a strategy for parallel implementation of FNCC algorithm using NVIDIA’s Compute Unified Device Architecture (CUDA) for real-time template matching. We also present an approach to make proposed method adaptable to variable size templates which is an important challenge to tackle. Efficient parallelization strategies, adopted for pre-computing sum-tables and extracting data parallelism by dividing the image into series of blocks, substantially reduce required computational time. We show that by optimal utilization of different memories available on multicore architecture and exploiting the asynchronous nature of CUDA kernel calls we can obtain speedup of the order 17X as compared to the sequential implementation.

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Author information

Authors and Affiliations

  1. Dept. of Electronics and Computer Engg., Indian Institute of Technology Roorkee, Roorkee, India

    Durgaprasad Gangodkar, Sachin Gupta, Gurbinder Singh Gill & Padam Kumar

  2. Dept. of Computer Science and Engg., Graphic Era University, Dehradun, India

    Ankush Mittal

Authors
  1. Durgaprasad Gangodkar
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  2. Sachin Gupta
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  3. Gurbinder Singh Gill
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  4. Padam Kumar
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  5. Ankush Mittal
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Editor information

Editors and Affiliations

  1. N.I.T.K., National Institute of Technology Karnataka, Surathkal, 575 025, Mangalore, India

    P. Santhi Thilagam , Alwyn Roshan Pais  & K. Chandrasekaran ,  & 

  2. Indian Institute of Science, 560012, Bangalore, India

    N. Balakrishnan

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© 2012 Springer-Verlag Berlin Heidelberg

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Gangodkar, D., Gupta, S., Gill, G.S., Kumar, P., Mittal, A. (2012). Efficient Variable Size Template Matching Using Fast Normalized Cross Correlation on Multicore Processors. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_26

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  • DOI: https://doi.org/10.1007/978-3-642-29280-4_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29279-8

  • Online ISBN: 978-3-642-29280-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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