基于多相机的HDR全景图像特征点算法

J. Yeong
{"title":"基于多相机的HDR全景图像特征点算法","authors":"J. Yeong","doi":"10.7236/IJASC.2015.4.2.6","DOIUrl":null,"url":null,"abstract":"With the spread of various kinds of cameras such as digital cameras and DSLR and a growing interest in high-definition and high-resolution images, a method that synthesizes multiple images is being studied among various methods. High Dynamic Range (HDR) images store light exposure with even wider range of number than normal digital images. Therefore, it can store the intensity of light inherent in specific scenes expressed by light sources in real life quite accurately. This study suggests feature points synthesis algorithm to improve the performance of HDR panorama recognition method (algorithm) at recognition and coordination level through classifying the feature points for image recognition using more than one multi frames.","PeriodicalId":297506,"journal":{"name":"The International Journal of Advanced Smart Convergence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-camera based Images through Feature Points Algorithm for HDR Panorama\",\"authors\":\"J. Yeong\",\"doi\":\"10.7236/IJASC.2015.4.2.6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the spread of various kinds of cameras such as digital cameras and DSLR and a growing interest in high-definition and high-resolution images, a method that synthesizes multiple images is being studied among various methods. High Dynamic Range (HDR) images store light exposure with even wider range of number than normal digital images. Therefore, it can store the intensity of light inherent in specific scenes expressed by light sources in real life quite accurately. This study suggests feature points synthesis algorithm to improve the performance of HDR panorama recognition method (algorithm) at recognition and coordination level through classifying the feature points for image recognition using more than one multi frames.\",\"PeriodicalId\":297506,\"journal\":{\"name\":\"The International Journal of Advanced Smart Convergence\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Journal of Advanced Smart Convergence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7236/IJASC.2015.4.2.6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Journal of Advanced Smart Convergence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7236/IJASC.2015.4.2.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

随着数码相机、单反等各种相机的普及,以及人们对高清晰度和高分辨率图像的兴趣日益浓厚,在各种方法中,人们正在研究一种综合多种图像的方法。高动态范围(HDR)图像比普通数字图像存储更宽范围的光曝光。因此,它可以非常准确地存储现实生活中光源所表达的特定场景所固有的光强。本研究提出特征点合成算法,通过对多个多帧图像识别的特征点进行分类,提高HDR全景识别方法(算法)在识别和协调层面的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multi-camera based Images through Feature Points Algorithm for HDR Panorama
With the spread of various kinds of cameras such as digital cameras and DSLR and a growing interest in high-definition and high-resolution images, a method that synthesizes multiple images is being studied among various methods. High Dynamic Range (HDR) images store light exposure with even wider range of number than normal digital images. Therefore, it can store the intensity of light inherent in specific scenes expressed by light sources in real life quite accurately. This study suggests feature points synthesis algorithm to improve the performance of HDR panorama recognition method (algorithm) at recognition and coordination level through classifying the feature points for image recognition using more than one multi frames.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design for Automation System for Pharmaceutical Prescription Using Arduino and Optical Character Recognition A Study on the Contents Security Management Model for Multi-platform Users A Study on the meaning of work and job embeddedness affecting the creative behavior of organization members The Structural Relationship among Selection Attributes, Consumption Value Brand Attitude, Fun, Brand Loyalty and Quality of Life in Athleisure Improved BP-NN Controller of PMSM for Speed Regulation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1