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Computational Vision And Robotics Proceedings Of Iccvr 2014 1st Edition Ishwar K Sethi Eds

  • SKU: BELL-4976354
Computational Vision And Robotics Proceedings Of Iccvr 2014 1st Edition Ishwar K Sethi Eds
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Computational Vision And Robotics Proceedings Of Iccvr 2014 1st Edition Ishwar K Sethi Eds instant download after payment.

Publisher: Springer India
File Extension: PDF
File size: 10.69 MB
Pages: 232
Author: Ishwar K. Sethi (eds.)
ISBN: 9788132221951, 8132221958
Language: English
Year: 2015
Edition: 1

Product desciption

Computational Vision And Robotics Proceedings Of Iccvr 2014 1st Edition Ishwar K Sethi Eds by Ishwar K. Sethi (eds.) 9788132221951, 8132221958 instant download after payment.

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.

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