Evaluation of the effectiveness of HDR tone-mapping operators for photogrammetric applications

Evaluation of the effectiveness of HDR tone-mapping operators for photogrammetric applications
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评估 HDR 色调映射算子在摄影测量应用中的有效性

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发表时间:
2016
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通讯作者:
A. Chalmers
A. Chalmers
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作者:
R. Suma;G. Stavropoulou;Elisavet (Ellie) Konstantina Stathopoulou;L. Gool;A. Georgopoulos;A. Chalmers

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高动态范围(HDR)成像能够捕捉场景中的全范围照明,这意味着它正越来越多地被用于文化遗产(CH)应用。摄影测量技术允许从一系列图像半自动地生成3D模型。目前的摄影测量方法在恶劣的光照条件下重建图像并不总是有效的,因为在图像的曝光不足和过度曝光的区域内,可能没有准确地捕捉到重要的几何细节。HDR成像提供了克服这一限制的可能性,然而,HDR图像在可以在现有摄影测量算法中使用之前需要进行色调映射。在本文中,我们评估了四种不同的HDR色调映射算子(TMO),它们被用于将原始HDR图像转换为适合最先进算法的格式,特别是关键点检测技术。使用的评估标准是关键点的数量、实现的有效匹配数量和重复率。这一比较考虑了两家本地TMO和两家全球TMO。使用了四个CH遗址的人类发展报告数据:凯萨里亚尼修道院(希腊)、阿西努教堂(塞浦路斯)、包克堡(法国)和Buonconsiglio城堡(意大利)。
The ability of High Dynamic Range (HDR) imaging to capture the full range of lighting in a scene has meant that it is being increasingly used for Cultural Heritage (CH) applications. Photogrammetric techniques allow the semi-automatic production of 3D models from a sequence of images. Current photogrammetric methods are not always effective in reconstructing images under harsh lighting conditions, as significant geometric details may not have been captured accurately within under- and over-exposed regions of the image. HDR imaging offers the possibility to overcome this limitation, however the HDR images need to be tone mapped before they can be used within existing photogrammetric algorithms. In this paper we evaluate four different HDR tone-mapping operators (TMOs) that have been used to convert raw HDR images into a format suitable for state-of-the-art algorithms, and in particular keypoint detection techniques. The evaluation criteria used are the number of keypoints, the number of valid matches achieved and the repeatability rate. The comparison considers two local and two global TMOs. HDR data from four CH sites were used: Kaisariani Monastery (Greece), Asinou Church (Cyprus), Château des Baux (France) and Buonconsiglio Castle (Italy).