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Computational vision and robotics[electronic resource] :proceedings of ICCVR 2014 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.37
書名/作者:	Computational vision and robotics : proceedings of ICCVR 2014 // edited by Ishwar K. Sethi.
其他題名:	ICCVR 2014
其他作者:	Sethi, Ishwar K.
團體作者:	Clark Conference
出版者:	New Delhi : : Springer India :, 2015.
面頁冊數:	xiii, 232 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Computer vision
標題:	Robotics
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Computer Imaging, Vision, Pattern Recognition and Graphics.
標題:	Robotics and Automation.
ISBN:	9788132221968 (electronic bk.)
ISBN:	9788132221951 (paper)
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-81-322-2196-8

Computational vision and robotics[electronic resource] :proceedings of ICCVR 2014 /
Computational vision and roboticsproceedings of ICCVR 2014 /[electronic resource] :ICCVR 2014edited by Ishwar K. Sethi. - New Delhi :Springer India :2015. - xiii, 232 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.3322194-5357 ;. - Advances in intelligent systems and computing ;v.281..

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.

ISBN: 9788132221968 (electronic bk.)

Standard No.: 10.1007/978-81-322-2196-8doiSubjects--Topical Terms:

149348
Computer vision

LC Class. No.: TA1634

Dewey Class. No.: 006.37

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