Proceedings of International Conference on Computer Vision and Image Processing

CVIP 2016, Volume 2

  • Balasubramanian Raman
  • Sanjeev Kumar
  • Partha Pratim Roy
  • Debashis Sen

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 460)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Deepasikha Mishra, Banshidhar Majhi, Pankaj Kumar Sa
    Pages 13-24
  3. Aparna Akula, Arshdeep Singh, Ripul Ghosh, Satish Kumar, H. K. Sardana
    Pages 25-34
  4. Ravi Uyyala, Munaga V. N. K. Prasad, Rajarshi Pal
    Pages 35-46
  5. Qazaleh Mirsharif, Sidharth Sadani, Shishir Shah, Hanako Yoshida, Joseph Burling
    Pages 59-69
  6. Aparna Mohanty, Alfaz Ahmed, Trishita Goswami, Arpita Das, Pratik Vaishnavi, Rajiv Ranjan Sahay
    Pages 93-105
  7. Barun Biswas, Ujjwal Bhattacharya, Bidyut B. Chaudhuri
    Pages 107-116
  8. A. Tirupathi Rao, N. Pattabhi Ramaiah, C. Krishna Mohan
    Pages 117-126
  9. S. D. Yamini Devi, Raja Santhanakumar, K. R. Ramakrishnan
    Pages 139-149
  10. K. Menaka, B. Yogameena, C. Nagananthini
    Pages 151-161
  11. Maheshkumar H. Kolekar, Deba Prasad Dash, Priti N. Patil
    Pages 163-174
  12. M. Ashvini, G. Revathi, B. Yogameena, S. Saravanaperumaal
    Pages 175-185
  13. Avijit Dasgupta, Sudipta Mukhopadhyay, Shrikant A. Mehre, Parthasarathi Bhattacharyya
    Pages 187-195
  14. Nikunja Bihari Kar, Korra Sathya Babu, Sanjay Kumar Jena
    Pages 209-219

About these proceedings

Introduction

This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications.
 
The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics – reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing.

The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques – non-rigid  image registration, iterative image partitioning, egocentric object detection and video shot boundary detection.

The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches – extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed.

Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets.

Keywords

ICCVIP 2016 Biometrics Biomedical Image Analysis Document Image Analysis Segmentation and Recognition Image Processing and Analysis CVIP

Editors and affiliations

  • Balasubramanian Raman
    • 1
  • Sanjeev Kumar
    • 2
  • Partha Pratim Roy
    • 3
  • Debashis Sen
    • 4
  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology RoorkeeRoorkeeIndia
  2. 2.Department of MathematicsIndian Institute of Technology RoorkeeRoorkeeIndia
  3. 3.Department of Computer Science and EngineeringIndian Institute of Technology RoorkeeRoorkeeIndia
  4. 4.Department of Computer Science and EngineeringIndian Institute of Technology RoorkeeRoorkeeIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-2107-7
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-2106-0
  • Online ISBN 978-981-10-2107-7
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book