A new optimal seam finding method based on tensor analysis for automatic panorama construction

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	A new optimal seam finding method based on tensor analysis for automatic panorama construction
	Zhao G(赵戈); Lin L(蔺蘭); Tang YD(唐延东)
刊名	Pattern Recognition Letters
	2013
卷号	34 期号:3 页码:308-314
关键词	Tensors
ISSN号	0167-8655
通讯作者	唐延东
产权排序	1
中文摘要	Optimal seam finding is a popular panorama construction strategy. It has the advantage of constructing panorama rapidly as well as being memory efficient. However, it is intrinsically sensitive to radiometric distortions, which is why artifacts are often visible in the composed panorama. Besides, it requires users to specify weight parameters, making such algorithms difficult to configure. In this paper, by fully exploiting the camera model and utilizing the knowledge of tensor analysis, we propose a novel optimal seam finding method. It not only enables the creation of artifact-free panorama from distorted input images but also requires no user-specified weights. We verify the effectiveness of our method by testing it on variegated sets of images with different types of optical distortions.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	IMAGE REGISTRATION ; MOSAICS ; FRAMEWORK ; SPLINE
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000315013000009
公开日期	2013-04-21
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/10624]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Zhao G,Lin L,Tang YD. A new optimal seam finding method based on tensor analysis for automatic panorama construction[J]. Pattern Recognition Letters,2013,34(3):308-314.
APA	Zhao G,Lin L,&Tang YD.(2013).A new optimal seam finding method based on tensor analysis for automatic panorama construction.Pattern Recognition Letters,34(3),308-314.
MLA	Zhao G,et al."A new optimal seam finding method based on tensor analysis for automatic panorama construction".Pattern Recognition Letters 34.3(2013):308-314.