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|a 9789813290884
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|a Chaudhuri, Bidyut B.
|e [editor]
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|a Proceedings of 3rd International Conference on Computer Vision and Image Processing
|h Elektronische Ressource
|b CVIP 2018, Volume 1
|c edited by Bidyut B. Chaudhuri, Masaki Nakagawa, Pritee Khanna, Sanjeev Kumar
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|a 1st ed. 2020
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|a Singapore
|b Springer Nature Singapore
|c 2020, 2020
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|a XII, 472 p. 193 illus., 146 illus. in color
|b online resource
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|a CARTOONNET: Caricature recognition of public figures -- Deep Learning Framework for Detection of an Illicit Drug Abuser using Facial Image -- Pneumonia Detection on Chest X-Ray Using Machine Learning Paradigm -- A Quantitative Comparison on the Role of Parameter Selection for Regularization in GRAPPA Based Autocalibrating Parallel MRI -- Improving Image Quality and Convergence Rate of Perona-Malik Diffusion based Compressed Sensing MR Image Reconstruction by Gradient Correction -- Blind Quality Assessment of PFA affected Images based on Chromatic Eigenvalue Ratio -- Investigation on the Muzzle of a Pig as a Biometric for Breed Identification.
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|a Computer vision
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|a Computer Vision
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|a Biometrics
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|a Signal, Speech and Image Processing
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653 |
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|a Signal processing
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|a Biometric identification
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|a Nakagawa, Masaki
|e [editor]
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|a Khanna, Pritee
|e [editor]
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|a Kumar, Sanjeev
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Advances in Intelligent Systems and Computing
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|a 10.1007/978-981-32-9088-4
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|u https://doi.org/10.1007/978-981-32-9088-4?nosfx=y
|x Verlag
|3 Volltext
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|a 621,382
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|a This book is a collection of carefully selected works presented at the Third International Conference on Computer Vision & Image Processing (CVIP 2018). The conference was organized by the Department of Computer Science and Engineering of PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India during September 29–October 01, 2018. All the papers have been rigorously reviewed by the experts from the domain. This 2 volume proceedings include technical contributions in the areas of Image/Video Processing and Analysis; Image/Video Formation and Display; Image/Video Filtering, Restoration, Enhancement and Super-resolution; Image/Video Coding and Transmission; Image/Video Storage, Retrieval and Authentication; Image/Video Quality; Transform-based and Multi-resolution Image/Video Analysis; Biological and Perceptual Models for Image/Video Processing; Machine Learning in Image/Video Analysis; Probability and uncertainty handling for Image/Video Processing; and Motion and Tracking
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