Image pre-processing for optimizing automated photogrammetry performances

Guidi, Gabriele; Gonizzi, S.; Micoli, Laura Loredana

doi:10.5194/isprsannals-ii-5-145-2014

Cited by 45 publications

(42 citation statements)

References 19 publications

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“…A number of previous researchers have suggested that the incorporation of HDR images in the photogrammetric pipeline would be advantageous for archaeological applications and would be worth more investigation (Wheatley, 2011;Ntregka, Georgopoulos, & Quintero, 2014;Guidi, Gonizzi, & Micoli, 2014). However, HDR imaging has not been frequently used in CH and in photogrammetry.…”

Section: Related Workmentioning

confidence: 99%

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

Suma

Stavropoulou

Stathopoulou

et al. 2016

Virtual archaeol. rev.

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Abstract:The ability of High Dynamic Range (HDR) imaging to capture the full range of lighting in a scene has prompted an increase in its use for Cultural Heritage (CH) applications. Photogrammetric techniques allow the semi-automatic production of three-dimensional (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).Key words: high dynamic range (HDR) imaging, HDR tone-mapping, keypoint detection, image-based 3D reconstruction Resumen:Las posibilidades que ofrecen las imágenes de alto rango dinámico (HDR) para registrar la totalidad del rango de iluminación de una escena han propiciado su creciente uso en aplicaciones de patrimonio cultural. Los métodos fotogramétricos actuales permiten la producción semi-automática de modelos tridimensionales (3D) a partir de una secuencia de imágenes. Sin embargo, éstos presentan serias limitaciones en escenas con iluminación dura, resultando en consecuencia la aparición de zonas expuestas o sobreexpuestas. En este tipo de condiciones, el uso de imágenes HDR ofrece la posibilidad de superar este problema. Para evaluar su potencialidad, se presentan en este artículo cuatro operadores diferentes de mapeado tonal (tone-mapping) en imágenes HDR, conocidos como TMOs, cuya misión es convertir las imágenes HDR crudas en un formato adecuado para su uso en algoritmos de vanguardia, y en particular en técnicas de detección de entidades. Los criterios de evaluación que se utilizan para analizar su potencialidad son: el número de entidades detectadas, el número de correspondencias válidas y su índice de repetibilidad. En la comparación se incluyen TMOs, dos locales y dos globales. Se utilizan datos HDR tomados en cuatro sitios patrimoniales: el monasterio de Kaisariani (Grecia), la iglesia de Asinou (Chipre), el castillo de los Baux (Francia) y el castillo de Buonconsiglio (Italia).Palabras clave: toma de imágenes de alto rango dinámico (HDR), mapeado tonal HDR, detección de entidades, reconstrucción 3D basada en imágenes

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Section: Related Workmentioning

confidence: 99%

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

Suma

Stavropoulou

Stathopoulou

et al. 2016

Virtual archaeol. rev.

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“…Research by Guidi [8], indicates that HDR fi les enables more tie points to be found. Agisoft does not allow the importing of HDR fi les, as generated by LadybugCapPro, so they need to be converted to the EXR format in Adobe Photoshop.…”

Section: The Impact Of the Format Of The Panoramasmentioning

confidence: 99%

Immersive photogrammetry in 3D modelling

Kwiatek¹,

Tokarczyk²

2015

geom

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“…Ntregka et al investigate the usage of HDR images in photogrammetric applications in the field of cultural heritage such as calibration and orthoimages (Ntregka et al, 2013). Guidi et al study the optical pre-processing with HDR imaging that may improve the automated 3D modeling pipeline based on SfM and image matching with special emphasis on optically non-cooperative surfaced of shiny and dark materials (Guidi et al, 2014). Another recent study uses HDR images in the 3D documentation of cultural heritage and investigates how HDR images affect the 3D models, geometrically through point clouds and radiometrically through textured models (Kontogianni and Georgopoulos, 2014).…”

Section: Hdr Imagingmentioning

confidence: 99%

HDR Imaging for Feature Detection on Detailed Architectural Scenes

Kontogianni

Stathopoulou

Georgopoulos

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:3D reconstruction relies on accurate detection, extraction, description and matching of image features. This is even truer for complex architectural scenes that pose needs for 3D models of high quality, without any loss of detail in geometry or color. Illumination conditions influence the radiometric quality of images, as standard sensors cannot depict properly a wide range of intensities in the same scene. Indeed, overexposed or underexposed pixels cause irreplaceable information loss and degrade digital representation. Images taken under extreme lighting environments may be thus prohibitive for feature detection/extraction and consequently for matching and 3D reconstruction. High Dynamic Range (HDR) images could be helpful for these operators because they broaden the limits of illumination range that Standard or Low Dynamic Range (SDR/LDR) images can capture and increase in this way the amount of details contained in the image. Experimental results of this study prove this assumption as they examine state of the art feature detectors applied both on standard dynamic range and HDR images.* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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Image pre-processing for optimizing automated photogrammetry performances

Cited by 45 publications

References 19 publications

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

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

Immersive photogrammetry in 3D modelling

HDR Imaging for Feature Detection on Detailed Architectural Scenes

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