Computational Vision and Robotics Proceedings of ICCVR 2014 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sethi, Ishwar K. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New Delhi : Springer India : Imprint: Springer, 2015.
• Σειρά: Advances in Intelligent Systems and Computing, 332
• Θέματα: Engineering.; Computer graphics.; Computational intelligence.; Robotics.; Automation.; Computational Intelligence.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Robotics and Automation.

 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.  . 

 Tracking of Deformable Object in Complex Video Using Steerable Pyramid Wavelet Transform -- Use of Different Features for Emotion Recognition Using MLP Network -- Rectangular Array Languages Generated by a Petri Net -- Medical Image Fusion Using Local Energy in Non-subsampled Contourlet Transform Domain -- Machine Learning and Its Application in Software Fault Prediction with Similarity Measures -- Various Strategies and Technical Aspects of Data Mining: A Theoretical Approach -- CBDF Based Target Searching and Tracking Using Particle Swarm Optimization -- Real Time Noise Canceller Using Modified Sigmoid Function RLS Algorithm -- Multi-scale Local Binary Patterns for Facial Expression based Human Emotion Recognition -- Development of a New Algorithm based on SVD for Image Watermarking -- Nonlinear System Identification Using Clonal PSO Based Functional Artificial Neural Network -- A Steganography Scheme Using SVD Compressed Cover Image -- Particle Swarm Optimization based Functional Link Artificial Neural Network for Medical Image Denoising -- Multi Robot Area Exploration Using Particle Swarm Optimization with the help of CBDF based Robot Scattering -- R-D Optimization of EED Based Compressed Image Using Linear Regression -- Comparative Analysis of Image de-blurring with Radial Basis Functions in Artificial Neural Network -- A Hybrid Approach for Iris Recognition in Unconstrained Environment -- Fractal Video Coding Using Modified Three-Step Search algorithm for Block Matching Motion Estimation -- Designing and Development of an Autonomous Solar Powered Robotic Vehicle -- SONIC: Stability of Nodes in Cooperative Caching for Wireless Network -- Advanced Energy Sensing Techniques Implemented Through Source Number Detection for Spectrum Sensing in Cognitive Radio -- Dynamic Load Balancing for Video Processing System in Cloud -- CT and MRI Image Fusion based on Stationary Wavelet Transform by Modulus Maxima -- A Real Time Intelligent Alarm System on Driver Fatigue based on Video Sequence -- An Efficient Android based Body Area Network System for Monitoring and Evaluation of Patients in Medical Care -- An Efficient Kernelized Fuzzy Possibilistic C-Means for High Dimensional Data Clustering.