标题:Image capture pattern optimization for panoramic photography
作者:Guo, Yuanhao; Zhao, Rongkai; Wu, Song; Wang, Chao
作者机构:[Guo, Yuanhao; Zhao, Rongkai; Wang, Chao] MoboPan, Changsha, Hunan, Peoples R China.; [Wu, Song] Southwest Univ, Coll Comp & Informat Sci, Chongqing 更多
通讯作者:Wang, C;Wang, C;Wang, Chao
通讯作者地址:[Wang, C]MoboPan, Changsha, Hunan, Peoples R China;[Wang, C]Shandong Univ, Sch Informat Sci & Engn, Qingdao, Peoples R China.
来源:MULTIMEDIA TOOLS AND APPLICATIONS
出版年:2018
卷:77
期:17
页码:22299-22318
DOI:10.1007/s11042-018-5948-y
关键词:Panoramic photography; Image capture pattern; Image quantity; Image; correlation; Focal length
摘要:Panoramic photography requires intensive operations of image stitching. A large quantity of images may lead to a rather expensive image stitching; while a sparse imaging may cause a poor-quality panorama due to the insufficient correlation between adjacent images. So, a good study for the balance between image quantity and image correlation may improve the efficiency and quality of panoramic photography. Therefore, in this work, we are motivated to present a novel approach to estimate the optimal image capture patterns for panoramic photography. We aim at the minimization of the image quantity which still preserves sufficient image correlation. We represent the image correlation as overlap area between the view range that can be separately observed from adjacent images. Moreover, a time-consuming imaging process of panoramic photography will result in a considerable illumination variation of the scene in images. Subsequently, the image stitching will be more challenged. To solve this problem, we design a series of imaging routines for our image capture patterns to preserve the content consistency, ensuring the generalization of our method to various cameras. Experimental results show that the proposed method can obtain the optimal image capture pattern in a very efficient manner. In these patterns, we can obtain a balanced image quantity but still achieve good results of panoramic photography.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051649021&doi=10.1007%2fs11042-018-5948-y&partnerID=40&md5=4418cfa3cb3f14c4a6dd3da2527bea08
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