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International Conference on Image, Vision and Intelligent Systems (2022 :)

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Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022)

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022)/ edited by Peng You, Heng Li, Zhenxiang Chen.
remainder title:	ICIVIS 2022
other author:	You, Peng.
corporate name:	International Conference on Image, Vision and Intelligent Systems
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xviii, 1052 p. :ill., digital ;24 cm.
[NT 15003449]:	Denoising Supervision Based Generative Adversarial Networks for MRI Super-Resolution Reconstruction -- 3D Pot-Shaped Object Localization Based on RGB-Image and Point Clouds -- Edge Matching of Image with Large Viewpoint Variation Based on Relative Motion Direction of Edge Corners -- Research on Image Recognition in Complex Background Based on Improved Bilinear CNN Model -- High Precision Odometer and Mapping Algorithm Based on Multi Lidar Fusion -- Classification Model for Easily Confused Breast Ultrasound Image Based on Shape and Texture Features -- Automated Identification for High Voltage Isolation Switch via Generative Adversarial Network -- Fundus Image Registration Based on Improved Feature Description -- Split dynamic target counting framework based on Yolov5+Deepsort optimization -- Clustering of Cervical Histopathology Images based on Minimum Spanning Tree.
Contained By:	Springer Nature eBook
Subject:	Computer vision - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-99-0923-0
ISBN:	9789819909230

Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022)
Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022)[electronic resource] /ICIVIS 2022edited by Peng You, Heng Li, Zhenxiang Chen. - Singapore :Springer Nature Singapore :2023. - xviii, 1052 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,10191876-1119 ;. - Lecture notes in electrical engineering ;1019..

Denoising Supervision Based Generative Adversarial Networks for MRI Super-Resolution Reconstruction -- 3D Pot-Shaped Object Localization Based on RGB-Image and Point Clouds -- Edge Matching of Image with Large Viewpoint Variation Based on Relative Motion Direction of Edge Corners -- Research on Image Recognition in Complex Background Based on Improved Bilinear CNN Model -- High Precision Odometer and Mapping Algorithm Based on Multi Lidar Fusion -- Classification Model for Easily Confused Breast Ultrasound Image Based on Shape and Texture Features -- Automated Identification for High Voltage Isolation Switch via Generative Adversarial Network -- Fundus Image Registration Based on Improved Feature Description -- Split dynamic target counting framework based on Yolov5+Deepsort optimization -- Clustering of Cervical Histopathology Images based on Minimum Spanning Tree.

This book is a collection of the papers accepted by the ICIVIS 2022-The International Conference on Image, Vision and Intelligent Systems held on August 15-17, 2022, in Jinan, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings.

ISBN: 9789819909230

Standard No.: 10.1007/978-981-99-0923-0doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634 / .I58 2022

Dewey Class. No.: 006.37

Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022)
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520 $a This book is a collection of the papers accepted by the ICIVIS 2022-The International Conference on Image, Vision and Intelligent Systems held on August 15-17, 2022, in Jinan, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings.
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