Towards automated, high resolution 3D scanning of large surfaces for cultural heritage documentation

Sitnik, Robert; Bunsch, Eryk; Mączkowski, Grzegorz; Załuski, Wojciech; Lech, Krzysztof; Michoński, Jakub; Krzesłowski, Jakub; Foryś, P.

doi:10.2352/issn.2470-1173.2016.21.3dipm-051

Cited by 4 publications

(4 citation statements)

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“…Our algorithm was used to track the camera pose in the King's Chinese Cabinet in the Museum of King Jan III's Palace at Wilanów, Warsaw, Poland. This interior was scanned using structured light technique in 2009 shortly before renovation, and scanned again in 2015 [2]. Figure 1 shows the visual comparison between these two scans.…”

Section: Methodsmentioning

confidence: 99%

“…Inasmuch as our interest is in cultural heritage interiors, usually guarded by rigorous conservatory policies, we focus on a vision-based camera tracking algorithm, which does not require physical integration into the interior geometry, as compared with alternative solutions that employ external tracking devices. Moreover, we consider only the visible-light spectrum because the use of infrared light may be dangerous for pigments used to paint the walls [2].…”

Section: Introductionmentioning

confidence: 99%

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CATCHA: Real-Time Camera Tracking Method for Augmented Reality Applications in Cultural Heritage Interiors

Siekański

Michoński

Bunsch³

et al. 2018

IJGI

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Camera pose tracking is a fundamental task in Augmented Reality (AR) applications. In this paper, we present CATCHA, a method to achieve camera pose tracking in cultural heritage interiors with rigorous conservatory policies. Our solution is real-time model-based camera tracking according to textured point cloud, regardless of its registration technique. We achieve this solution using orthographic model rendering that allows us to achieve real-time performance, regardless of point cloud density. Our developed algorithm is used to create a novel tool to help both cultural heritage restorers and individual visitors visually compare the actual state of a culture heritage location with its previously scanned state from the same point of view in real time. The provided application can directly achieve a frame rate of over 15 Hz on VGA frames on a mobile device and over 40 Hz using remote processing. The performance of our approach is evaluated using a model of the King’s Chinese Cabinet (Museum of King Jan III’s Palace at Wilanów, Warsaw, Poland) that was scanned in 2009 using the structured light technique and renovated and scanned again in 2015. Additional tests are performed on a model of the Al Fresco Cabinet in the same museum, scanned using a time-of-flight laser scanner.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CATCHA: Real-Time Camera Tracking Method for Augmented Reality Applications in Cultural Heritage Interiors

Siekański

Michoński

Bunsch³

et al. 2018

IJGI

Self Cite

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“…Single 3D point clouds were captured by a custom measurement system designed for the interior acquisition campaign [67], see Fig. 8.…”

Section: Acquisition Systemmentioning

confidence: 99%

Fast adaptive multimodal feature registration (FAMFR): an effective high-resolution point clouds registration workflow for cultural heritage interiors

Foryś,

Sitnik,

Markiewicz

et al. 2023

Herit Sci

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Accurate registration of 3D scans is crucial in creating precise and detailed 3D models for various applications in cultural heritage. The dataset used in this study comprised numerous point clouds collected from different rooms in the Museum of King Jan III’s Palace in Warsaw using a structured light scanner. Point clouds from three relatively small rooms at Wilanow Palace: The King’s Chinese Cabinet, The King’s Wardrobe, and The Queen’s Antecabinet exhibit intricate geometric and decorative surfaces with diverse colour and reflective properties. As a result, creating a high-resolution full 3D model require a complex and time-consuming registration process. This process often consists of several steps: data preparation, registering point clouds, final relaxation, and evaluation of the resulting model. Registering two-point clouds is the most fundamental part of this process; therefore, an effective registration workflow capable of precisely registering two-point clouds representing various cultural heritage interiors is proposed in this paper. Fast Adaptive Multimodal Feature Registration (FAMFR) workflow is based on two different handcrafted features, utilising the colour and shape of the object to accurately register point clouds with extensive surface geometry details or geometrically deficient but with rich colour decorations. Furthermore, this work emphasises the challenges associated with high-resolution point clouds registration, providing an overview of various registration techniques ranging from feature-based classic approaches to new ones based on deep learning. A comparison shows that the algorithm explicitly created for this data achieved much better results than traditional feature-based or deep learning methods by at least 35%.

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“…Thanks to advancements in technology, such as high-resolution imaging ( Srisa-ard, 2006 ; Fischer and Kakoulli, 2013 ), hyperspectral imaging ( Berns et al, 2006 ; Elias and Cotte, 2008 ; Colantonio et al, 2018 ; Berns, 2019 ), and 3D imaging ( Yastikli, 2007 ; Mączkowski et al, 2011 ; Simon Chane et al, 2013 ; Axer et al, 2016 ; Sitnik et al, 2016 ), conservators currently apply digital techniques to preserve the current state information of cultural heritage objects; they can be measured once and restored digitally without using chemicals that might irreversibly damage the objects. In addition, these techniques aim to restore lost information while performing materials analysis, color science, image processing, and so forth to explore the evolution of the fading process ( Berns, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

An integrated method for color correction based on color constancy for early mural images in Mogao Grottoes

Liu

Gao

et al. 2022

Front. Neurosci.

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Restoring the correct or realistic color of a cultural heritage object is a crucial problem for imaging techniques. Digital images often have undesired color casts due to adverse effects caused by unstable illuminant conditions, vignetting, and color changes due to camera settings. In this work, we present an improved color correction method for color cast images that makes the color appear more realistic. It is based on a computational model of the human visual system that perceives objects by color constancy theory; it realizes illumination non-uniformity compensation and chromaticity correction for color cast images by taking into account the color stability of some pigments. This approach has been used to correct the color in Cave 465 of the Mogao Grottoes. The experimental results demonstrate that the proposed method is able to “adaptively correct” color cast images with widely varying lighting conditions and improve the consistency efficaciously. It can achieve improved consistency in the mean CIEDE2000 color difference compared with the images before correction. This colorimetric correction methodology is sufficiently accurate in color correction implementation for cast images of murals captured in the early years.

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Towards automated, high resolution 3D scanning of large surfaces for cultural heritage documentation

Cited by 4 publications

References 0 publications

CATCHA: Real-Time Camera Tracking Method for Augmented Reality Applications in Cultural Heritage Interiors

CATCHA: Real-Time Camera Tracking Method for Augmented Reality Applications in Cultural Heritage Interiors

Fast adaptive multimodal feature registration (FAMFR): an effective high-resolution point clouds registration workflow for cultural heritage interiors

An integrated method for color correction based on color constancy for early mural images in Mogao Grottoes

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