Quantitative Evaluation of Panorama Softwares 机翻标题: 暂无翻译,请尝试点击翻译按钮。

会议集名/来源
Proceedings of the international conference on communications and cyber physical engineering 2018: International conference communications and cyber physical engineering 2018 (ICCCE 2018), 2018, Hyderabad, India
出版年
2019
页码
543-561
会议地点
Hyderabad
作者单位
Geomatics Engineering, Indian Institute of Technology Roorkee, Roorkee, IndiaGeomatics Engineering, Indian Institute of Technology Roorkee, Roorkee, IndiaR&D Centre, CMR College of Engineering & Technology, Hyderabad, India
作者
Surendra Kumar Sharma;Kamal Jain;Merugu Suresh
摘要
Image stitching has been practiced in various computer vision and scientific study areas. Many different image stitching algorithms have been proposed by different research groups in the past, and there are many different image stitching software products available on the market. However, a comparison between different stitching software products and an evaluation of them has not been performed so far. Furthermore, most previous quality assessment approaches have not had an adequate number of performance matrices, while others have suffered from the adverse effects of computational complications. Our objective is to identify the best software for panoramic image stitching. In this paper we measure the robustness of different software products by assessing image quality of a set of stitched images. For the evaluation itself, a varied set of assessment criteria is used, and evaluation is performed over a large range of images captured in different scenarios using differing cameras. Results show that Autostitch performs relatively well for all types of scenes and for all types of dataset.
机翻摘要
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关键词
Image stitching;Panoramic image quality;Image quality assessment;Panorama software
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