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Computational Vision and Robotics

Proceedings of ICCVR 2014

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Ishwar K. Sethi

    1. Department of Computer Science & Engineering, Oakland University, Rochester, USA

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  • Includes original works of researchers and academicians from premier institutes
  • Portrays the latest technology aspects in the domain of computational vision and robotics
  • Serves as a reference material for young researchers and professionals
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 332)

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Table of contents (26 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Tracking of Deformable Object in Complex Video Using Steerable Pyramid Wavelet Transform

    • Om Prakash, Manish Khare, Rajneesh Kumar Srivastava, Ashish Khare
    Pages 1-6

  3. Use of Different Features for Emotion Recognition Using MLP Network

    • H. K. Palo, Mihir Narayana Mohanty, Mahesh Chandra
    Pages 7-15

  4. Rectangular Array Languages Generated by a Petri Net

    • Lalitha D.
    Pages 17-27

  5. Medical Image Fusion Using Local Energy in Nonsubsampled Contourlet Transform Domain

    • Richa Srivastava, Ashish Khare
    Pages 29-35

  6. Machine Learning and Its Application in Software Fault Prediction with Similarity Measures

    • Ekbal Rashid, Srikanta Patnaik, Arshad Usmani
    Pages 37-45

  7. Various Strategies and Technical Aspects of Data Mining: A Theoretical Approach

    • Ekbal Rashid, Srikanta Patnaik, Arshad Usmani
    Pages 47-52

  8. CBDF-Based Target Searching and Tracking Using Particle Swarm Optimization

    • Sanjeev Sharma, Chiranjib Sur, Anupam Shukla, Ritu Tiwari
    Pages 53-62

  9. Real-Time Noise Canceller Using Modified Sigmoid Function RLS Algorithm

    • V. K. Gupta, D. K. Gupta, Mahesh Chandra
    Pages 63-70

  10. Multiscale Local Binary Patterns for Facial Expression-Based Human Emotion Recognition

    • Swati Nigam, Ashish Khare
    Pages 71-77

  11. Development of a New Algorithm Based on SVD for Image Watermarking

    • Arun Kumar Ray, Sabyasachi Padhihary, Prasanta Kumar Patra, Mihir Narayan Mohanty
    Pages 79-87

  12. Nonlinear System Identification Using Clonal Particle Swarm Optimization-based Functional Link Artificial Neural Network

    • Kumar Gaurav, Sudhansu Kumar Mishra
    Pages 89-96

  13. A Steganography Scheme Using SVD Compressed Cover Image

    • Kshiramani Naik, Shiv Prasad, Arup Kumar Pal
    Pages 97-104

  14. Particle Swarm Optimization-based Functional Link Artificial Neural Network for Medical Image Denoising

    • Manish Kumar, Sudhansu Kumar Mishra
    Pages 105-111

  15. Multi-robot Area Exploration Using Particle Swarm Optimization with the Help of CBDF-based Robot Scattering

    • Sanjeev Sharma, Chiranjib Sur, Anupam Shukla, Ritu Tiwari
    Pages 113-123

  16. R–D Optimization of EED-based Compressed Image Using Linear Regression

    • Bibhuprasad Mohanty, Madhusmita Sahoo, Sudipta Mohapatra
    Pages 125-133

  17. Comparative Analysis of Image Deblurring with Radial Basis Functions in Artificial Neural Network

    • Abhisek Paul, Paritosh Bhattacharya, Prantik Biswas, Santi Prasad Maity
    Pages 135-143

  18. A Hybrid Approach for Iris Recognition in Unconstrained Environment

    • Navjot Kaur, Mamta Juneja
    Pages 145-149

  19. Fractal Video Coding Using Modified Three-step Search Algorithm for Block-matching Motion Estimation

    • Shailesh D. Kamble, Nileshsingh V. Thakur, Latesh G. Malik, Preeti R. Bajaj
    Pages 151-162

  20. Designing and Development of an Autonomous Solar-Powered Robotic Vehicle

    • Pankaj P. Tekale, S. R. Nagaraja
    Pages 163-168
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Keywords

About this book

Computer Vision and Robotic is one of the most challenging areas of 21st century. Its application ranges from Agriculture to Medicine, Household applications to Humanoid, Deep-sea-application to Space application, and Industry applications to Man-less-plant. Today’s technologies demand to produce intelligent machine, which are enabling applications in various domains and services. Robotics is one such area which encompasses number of technology in it and its application is widespread. Computational vision or Machine vision is one of the most challenging tools for the robot to make it intelligent. This volume covers chapters from various areas of Computational Vision such as Image and Video Coding and Analysis, Image Watermarking, Noise Reduction and Cancellation, Block Matching and Motion Estimation, Tracking of Deformable Object using Steerable Pyramid Wavelet Transformation, Medical Image Fusion, CT and MRI Image Fusion based on Stationary Wavelet Transform. The book also covers articles from applications of soft computing techniques such as Target Searching and Tracking using Particle Swarm Optimization, PSO-based Functional Artificial Neural Network, etc. The book also covers article from the areas of Robotics such as Solar Power Robot Vehicle, Multi Robot Area Exploration, Intelligent Driving System based on Video Sequencing, Emotion Recognition using MLP Network, Identifying the Unstructured Environment.

Editors and Affiliations

  • Department of Computer Science & Engineering, Oakland University, Rochester, USA

    Ishwar K. Sethi

About the editor

Ishwar K. Sethi is currently a professor in the Department of Computer Science and Engineering at Oakland University in Rochester, Michigan, where he served as the chair of the department from 1999 to 2010. From 1982 to 1999, he was with the Department of Computer Science at Wayne State University, Detroit, Michigan. Before that, he was a faculty member at Indian Institute of Technology, Kharagpur, India, where he received his Ph.D. degree in 1978. His current research interests are in data mining, pattern classification, multimedia information indexing and retrieval, and social media analysis. He has graduated 24 doctoral students and has authored or coauthored over 160 journal and conference articles. He has served on the editorial boards of several prominent journals including IEEE Trans. Pattern Analysis and Machine Intelligence, and IEEE Multimedia. He was elected IEEE Fellow in 2001 for his contributions in artificial neural networks and statistical pattern recognition.

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