找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computer Vision and Image Processing; 4th International Co Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Conference proceedings 2020 S

[复制链接]
查看: 41635|回复: 53
发表于 2025-3-21 16:39:04 | 显示全部楼层 |阅读模式
书目名称Computer Vision and Image Processing
副标题4th International Co
编辑Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Computer Vision and Image Processing; 4th International Co Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Conference proceedings 2020 S
描述This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International Conference on Computer Vision and Image Processing. held in Jaipur, India, in September 2019. .The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized according to the following topics:​ .Part I: Biometrics;  Computer Forensic; Computer Vision; Dimension Reduction; Healthcare Information Systems; Image Processing; Image segmentation; Information Retrieval; Instance based learning; Machine Learning..Part II: ​Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering. .
出版日期Conference proceedings 2020
关键词artificial intelligence; color image processing; color images; computer systems; computer vision; data mi
版次1
doihttps://doi.org/10.1007/978-981-15-4015-8
isbn_softcover978-981-15-4014-1
isbn_ebook978-981-15-4015-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

书目名称Computer Vision and Image Processing影响因子(影响力)




书目名称Computer Vision and Image Processing影响因子(影响力)学科排名




书目名称Computer Vision and Image Processing网络公开度




书目名称Computer Vision and Image Processing网络公开度学科排名




书目名称Computer Vision and Image Processing被引频次




书目名称Computer Vision and Image Processing被引频次学科排名




书目名称Computer Vision and Image Processing年度引用




书目名称Computer Vision and Image Processing年度引用学科排名




书目名称Computer Vision and Image Processing读者反馈




书目名称Computer Vision and Image Processing读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:52:13 | 显示全部楼层
A Fast and Rigid Copy Move Forgery Detection Technique Using HDBSCANand pasted within the same image to entrap the end users and distort the originality of the information. Methods introduced so far faces problems in detecting forged region present in large size image as well as images with post-processing attacks like noise, compression, rotation, scaling, translat
发表于 2025-3-22 02:32:42 | 显示全部楼层
Automated Industrial Quality Control of Pipe Stacks Using Computer Visiontphone cameras. Currently, quality inspection for bent and crooked pipe ends is done manually, which entails additional labour costs and is relatively slower than a mechanised approach. We propose an efficient and robust method of detecting the perfectly circular cross-sections of the pipes in stack
发表于 2025-3-22 05:00:04 | 显示全部楼层
Asymmetric Wide Tele Camera Fusion for High Fidelity Digital Zoomas low light imaging and camera zoom. One such multi-camera system is a tele-wide configuration with single or multiple tele and wide cameras. The images from these multiple cameras can be fused to generate an output image with improved image quality as opposed to individual input images. Major chal
发表于 2025-3-22 12:43:37 | 显示全部楼层
Energy Based Convex Set Hyperspectral Endmember Extraction Algorithmignatures and abundance fractions. A novel algorithm called Energy-based Convex Set (ECS) is presented for unsupervised endmember extraction from hyperspectral data in this paper. The algorithm uses the concept of band-energy and convex geometry for extraction of endmembers. The advantage of the pro
发表于 2025-3-22 13:52:02 | 显示全部楼层
发表于 2025-3-22 17:49:15 | 显示全部楼层
Spatially Variant Laplacian Pyramids for Multi-frame Exposure Fusion intensity levels, it is often unable to produce artifact free images for applications which handle images with large intensity variation such as exposure fusion. This paper proposes a spatially varying Laplacian Pyramid Blending to blend images with large intensity differences. The proposed method
发表于 2025-3-22 21:22:56 | 显示全部楼层
发表于 2025-3-23 03:48:51 | 显示全部楼层
Unsupervised Single-View Depth Estimation for Real Time Inferenceof these approaches are flexible enough to be deployed in the real-time environment with limited computational capabilities. Inference latency is a major factor that limits the application of such methods to the real world scenarios where high end GPUs cannot be deployed. Six models based on three a
发表于 2025-3-23 05:52:43 | 显示全部楼层
A Novel Information Theoretic Cost Measure for Filtering Based Feature Selection from Hyperspectral ign a novel information theoretic ranking measure and further propose a greedy strategy that provides a more principled way of ranking the features. Note that the use of information theory is prevalent in the area of filtering based dimensionality reduction. However, the existing ranking measures in
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-5 19:06
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表