2014
DOI: 10.5194/isprsarchives-xl-5-371-2014
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Modelling the appearance of heritage metallic surfaces

Abstract: ABSTRACT:Polished metallic surfaces exhibit a high degree of specularity, which makes them difficult to reproduce accurately. We have applied two different techniques for modelling a heritage object known as the Islamic handbag. Photogrammetric multi-view stereo enabled a dense point cloud to be extracted from a set of photographs with calibration targets, and a geometrically accurate 3D model produced. A new method based on photometric stereo from a set of images taken in an illumination dome enabled surface … Show more

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Cited by 7 publications
(2 citation statements)
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“…For image-based 3D reconstruction purposes, low-texture surface (such as plaster building facades) causes difficulties to feature detection methods (such as the Difference-of-Gaussian (DoG) function) and matching algorithms, leading to outliers and unsuccessful matching results. Among the proposed methods to enhance image contents, the Wallis filter [11] showed very successful performances in the photogrammetric community [63][64][65][66][67]. Jazayeri et al [68] tested the Wallis filter for different parameters to evaluate its performances for interest point detection and description.…”
Section: Image Content Enhancement With Wallis Filteringmentioning
confidence: 99%
“…For image-based 3D reconstruction purposes, low-texture surface (such as plaster building facades) causes difficulties to feature detection methods (such as the Difference-of-Gaussian (DoG) function) and matching algorithms, leading to outliers and unsuccessful matching results. Among the proposed methods to enhance image contents, the Wallis filter [11] showed very successful performances in the photogrammetric community [63][64][65][66][67]. Jazayeri et al [68] tested the Wallis filter for different parameters to evaluate its performances for interest point detection and description.…”
Section: Image Content Enhancement With Wallis Filteringmentioning
confidence: 99%
“…The Wallis filter (Wallis, 1976), is a digital image processing function that enhances the contrast levels and flattens the different exposure to achieve similar brightness in the images. The filter is normally applied in order to optimize image datasets for subsequent image-matching procedures (Baltsavias, 1991;Baltsavias et al, 1996;Seiz et al 2002;Ohdake et al 2005;Remondino et al, 2008;MacDonald et al 2014). Wallis uses two parameters to control the enhancement's amount, the contrast expansion factor A and the brightness forcing factor B.…”
Section: Image Content Enhancementmentioning
confidence: 99%