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, anda palmprint recognition based on minutiae quadruplets.

Collection of carefully selected works which have been rigorously reviewed by the experts from the domain Provides rich and authentic literature in the area of imaging and computer vision Includes fruitful and critical conclusions drawn from cutting-edge research in each chapter Includes supplementary material: sn.pub/extras

Autorentext

Dr. R. Balasubramanian is currently an associate professor in the department of Computer Science and Engineering at IIT Roorkee, India. He completed his Ph.D. (Mathematics and Computer Science) from Indian Institute of Technology Madras, Chennai in 2001. His areas of interest include Computer Vision - Optical Flow Problems, Fractional Transform Theory, Wavelet Analysis, Image and Video Processing, Multimedia Security: Digital Image Watermarking and Encryption, Biometrics, Content Based Image and Video Retrieval, Hyperspectral and Microwave Imaging and Visualization, Volume Graphics. He has published over 80 papers in refereed journal and contributed 7 chapters in books.

Dr. Sanjeev Kumar is an assistant professor of Mathematics at IIT Roorkee, India. His areas of interest are Computer Vision & Mathematical Imaging, Inverse Problems, and Machine Learning, He completed his Ph.D. in mathematics from IIT Roorkee in 2008. He is a member of IEEE Computer Society and International Association of Pattern Recognition and life member of ACEEE and IACSIT. He has got over 40 papers published in journals as well as conference proceedings.

Dr. Partha Pratim Roy is an assistant professor of Computer Science and Engineering at IIT Roorkee, India. Before joining IIT Roorkee, he has worked with Samsung Research Institute Noida as chief engineer. He did his Ph.D. in Computer Science and Engineering (2010) from Autonomous University of Barcelona, Spain. He has got seve ral papers published in journals and international conference proceedings. His interest areas include Pattern Recognition, Multilingual Text Recognition, Biometrics, Identification and Verification of Signature, Fingerprint, etc., Computer Vision, Image Segmentation, Machine Learning, and Hidden Markov Model. Dr. Debashis Sen is Assistant Professor, Electronics & Electrical Communication Engineering at IIT Kharagpur, India. He did his Ph.D in Engineering (Image Processing)from Jadavpur University, Kolkata in 2011. He has got 12 papers published in journals, 13 in conference proceedings and 1 book chapter. His research areas are Vision Image and Video Processing, Uncertainty Handling, Bio-inspired Computation, Eye Movement Analysis, Computational Visual Perception, and Multimedia Signal Processing.

Inhalt

Chapter 1. Fingerprint Image Segmentation using Textural Features.- Chapter 2. Improved Feature Selection for Neighbor Embedding Super-Resolution using Zernike Moments.- Chapter 3. Target Recognition in Infrared Imagery using Convolutional Neural Network.- Chapter 4. Selected Context Dependent Prediction for Reversible Watermarking with Optimal Embedding.- Chapter 5. Cancelable Biometrics using Hadamard Transform and Friendly Random Projections.- Chapter 6. A Semi-Automated Method for Object Segmentation in Infant's Egocentric Video to Study Object Perception.- Chapter 7. A Novel Visual Secret Sharing Scheme using Affine Cipher and Image Interleaving.- Chapter 8. Comprehensive Representation and Efficient Extraction of Spatial Information for Human Activity Recognition from Video Data.- Chapter 9. Robust Pose Recognition using Deep Learning.- Chapter 10. A Robust Scheme for Extraction of Text Lines from Handwritten Documents.- Chapter 11. Palmprint Recognition Based on Minutiae Quadruplets.- Chapter 12. Human Action Recognition for Depth Cameras via Dynamic Frame Warping.- Chapter 13. Reference Based Image Encoding.- Chapter 14. Improving Face Detection in Blurred Videos for Surveillance Applications.- Chapter 15. Support Vector Machine Based Extraction of Crime Information in Human Brain using ERP Image.- Chapter 16. View Invariant Motorcycle Detection for Helmet Wear Analysis in Intelligent Traffic Surveillance.- Chapter 17. Morphological Geodesic Active Contour Based Automatic Aorta Segmentation in Thoracic CT Images.- Chapter 18. Surveillance Video Synopsis while Preserving Object Motion Structure and Interaction.- Chapter 19. Face Expression Recognition using Histograms of Oriented Gradients with Reduced Features.- Chapter 20. Dicentric Chromosome Image Classification using Fourier Domain Based Shape Descriptors and Support Vector Machine.- Chapter 21. An Automated Ear Localization Technique Based on Modified Hausdorff Distance.- Chapter 22. Sclera Pattern Synthesis Based on Non-parametric Texture Synthesis Technique.- Chapter 23. Virtual 3-D Walkthrough for Intelligent Emergency Response.- Chapter 24. Spontaneous vs. Posed smiles Can We Tell the Difference?.- Chapter 25. Handling Illumination Variation: A Challenge for Face Recognition.- Chapter 26. Bin Picking Using Manifold Learning.- Chapter 27. Motion Estimation From Image Sequences: A Fractional Order Total Variation Model.- Chapter 28. Script Identification in Natural Scene Images: A Dataset and Texture-Feature Based Performance Evaluation.- Chapter 29. Posture Recognition in HINE Exercises.- Chapter 30. Multi-Oriented Text Detection from Video using Sub-Pixel Mapping.- Chapter 31. Efficient Framework for Action Recognition using Reduced Fisher Vector Encoding.- Chapter 32. Detection Algorithm for Copy-Move Forgery Based on Circle Block.- Chapter 33. FPGA Implementation of GMM Algorithm for …