找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Image and Graphics; 9th International Co Yao Zhao,Xiangwei Kong,David Taubman Conference proceedings 2017 Springer Nature Switzerland AG 20

[復(fù)制鏈接]
查看: 18793|回復(fù): 57
樓主
發(fā)表于 2025-3-21 18:35:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Image and Graphics
副標(biāo)題9th International Co
編輯Yao Zhao,Xiangwei Kong,David Taubman
視頻videohttp://file.papertrans.cn/462/461474/461474.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image and Graphics; 9th International Co Yao Zhao,Xiangwei Kong,David Taubman Conference proceedings 2017 Springer Nature Switzerland AG 20
描述.This three-volume set LNCS 10666, 10667, and 10668 constitutes the refereed conference proceedings of the 9.th. International Conference on Image and Graphics, ICIG 2017, held in Shanghai, China, in September 2017. The 172 full papers were selected from 370 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking..
出版日期Conference proceedings 2017
關(guān)鍵詞computer graphics; image analysis; image processing; image understanding; virtual reality; 3D animation; b
版次1
doihttps://doi.org/10.1007/978-3-319-71598-8
isbn_softcover978-3-319-71597-1
isbn_ebook978-3-319-71598-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2017
The information of publication is updating

書目名稱Image and Graphics影響因子(影響力)




書目名稱Image and Graphics影響因子(影響力)學(xué)科排名




書目名稱Image and Graphics網(wǎng)絡(luò)公開度




書目名稱Image and Graphics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Image and Graphics被引頻次




書目名稱Image and Graphics被引頻次學(xué)科排名




書目名稱Image and Graphics年度引用




書目名稱Image and Graphics年度引用學(xué)科排名




書目名稱Image and Graphics讀者反饋




書目名稱Image and Graphics讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:45:58 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:22:38 | 只看該作者
地板
發(fā)表于 2025-3-22 04:49:14 | 只看該作者
An Image Segmentation Method Based on Asynchronous Multiscale Similarity Measurelinear sensitivity of gray difference of human based on the tree structure data representation of irregular rough classification of image block, using to merge the image blocks to obtain the segmentation result. Experimental results show that the proposed algorithm outperform the FCM in terms of segmentation effect and computation speed.
5#
發(fā)表于 2025-3-22 08:52:57 | 只看該作者
6#
發(fā)表于 2025-3-22 15:42:09 | 只看該作者
7#
發(fā)表于 2025-3-22 17:04:32 | 只看該作者
Depth-Based Focus Stacking with Labeled-Laplacian Propagation these sparse points 2 different labels: off-plane edges and in-plane edges. Only off-plane edges are then utilized in our proposed labeled-Laplacian propagation method to refine final dense depthmap and the all-in-focus image. Experiments show that our all-in-focus image is superior to other state-of-the-art methods.
8#
發(fā)表于 2025-3-22 21:12:29 | 只看該作者
A Novel Method for Measuring Shield Tunnel Cross Sectionse are gained by a laser range-finder installed on a 360° protractor. These coordinates are used to solve the unknown parameters of DLT equations. Then the precise outline of the tunnel cross sections can be obtained. A series of tests in the subway tunnel of Shanghai Metro Line 1 were carried out to validate the method being precise and effective.
9#
發(fā)表于 2025-3-23 01:24:09 | 只看該作者
Image Noise Estimation Based on Principal Component Analysis and Variance-Stabilizing Transformation minimizing the excess kurtosis of noise distribution. Subjective and objective results show that proposed noise estimation combining with classic video denoising algorithms obtains better effects and make video denoising more widely in application.
10#
發(fā)表于 2025-3-23 09:01:22 | 只看該作者
Efficient High Dynamic Range Video Using Multi-exposure CNN Flowevelop an efficient method to reconstruct the aligned LDR frames with different exposure and then merge them to produce the corresponding HDR frame. Our approach shows good performance and time efficiency while still maintain a relatively concise framework.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-25 12:18
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
淮北市| 广西| 云林县| 罗山县| 土默特左旗| 瓮安县| 凤翔县| 汽车| 安化县| 岱山县| 乌兰浩特市| 宜君县| 五家渠市| 琼海市| 漳浦县| 丹凤县| 郯城县| 宁河县| 南平市| 安国市| 怀集县| 南丰县| 任丘市| 昂仁县| 二连浩特市| 松滋市| 聂荣县| 五大连池市| 绵阳市| 建水县| 湾仔区| 宣化县| 福海县| 临城县| 营口市| 长岛县| 普宁市| 内江市| 大同县| 定结县| 永清县|