Computational Vision and Bio Inspired Computing

  • D. Jude Hemanth
  • S. Smys
Conference proceedings

Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 28)

Table of contents

  1. Front Matter
    Pages i-xii
  2. C. Arunkumar, S. Ramakrishnan, Siva Sai Dheeraj
    Pages 1-10
  3. C. K. Shyamala, Ashwathi Chandran
    Pages 31-44
  4. Milind Bhalerao, Sanjiv Bonde, Abhijeet Nandedkar, Sushma Pilawan
    Pages 45-54
  5. M. Sruthi, Sini Raj Pulari, Ramesh Gowtham
    Pages 55-67
  6. B. P. Sathyajit, C. Shunmuga Velayutham
    Pages 68-78
  7. M. R. Neethu, N. Harini
    Pages 79-91
  8. K. Indirani, G. Vasanthakannan
    Pages 92-102
  9. A. Christiyana Arulselvi, S. SendhilKumar, G. S. Mahalakshmi
    Pages 134-151
  10. Manoj K. Sabnis, Kavita, Manoj Kumar Shukla
    Pages 152-173
  11. P. Monika, M. R. Vinutha, B. N. Srihari, S. Harikrishna, S. M. Sumangala, G. T. Raju
    Pages 174-185
  12. Bindu K. R., Aakash C., Bernett Orlando, Latha Parameswaran
    Pages 186-192
  13. B. A. Sabarish, R. Karthi, T. Gireeshkumar
    Pages 215-226

About these proceedings

Introduction

This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements.

 

The work  also provides potential directions for future research.  


Keywords

Computational Vision Bio Inspired Computing Bioinformatics Imaging Systems Pattern Recognition ICCVBIC 2017 Human Computer Interaction Visual-based interactive robotics Computational Neuroscience

Editors and affiliations

  • D. Jude Hemanth
    • 1
  • S. Smys
    • 2
  1. 1.Karunya University CoimbatoreIndia
  2. 2.RVS Technical CampusCoimbatoreIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71767-8
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-71766-1
  • Online ISBN 978-3-319-71767-8
  • Series Print ISSN 2212-9391
  • Series Online ISSN 2212-9413
  • About this book
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