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Image Processing Perspectives of X-Ray Fluorescence Data in Cultural Heritage Sciences
Henry Chopp;Alicia McGeachy;Matthias Alfeld;Oliver Cossairt;Marc Walton;Aggelos Katsaggelos
X-ray fluorescence (XRF) analysis of art objects has rapidly gained popularity since the late 2000s due to its increased accessibility to scientists. This introduced an imaging component whereby the XRF image volume provides clues as to which chemical elements are present and where they are located spatially in the object. However, as is the nature of collecting measurements, there are limitations...Show More
Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices
Merlin A. Nau;Florian Schiffers;Yunhao Li;Bingjie Xu;Andreas Maier;Jack Tumblin;Marc Walton;Aggelos K. Katsaggelos;Florian Willomitzer;Oliver Cossairt
2021 55th Asilomar Conference on Signals, Systems, and Computers
Year: 2021 | Conference Paper |
Computational photography has become a valuable field of interest for dermatologists. Current telemedical approaches mainly use two-dimensional (2D) color imagery, which cannot always capture sufficient information for the physician. In clinical practice dedicated imaging systems can acquire valuable three-dimensional (3D) data to improve the patients outcome [1], [2]. The major drawback of clinic...Show More
Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation
Merlin A. Nau;Florian Schiffers;Yunhao Li;Bingjie Xu;Andreas Maier;Jack Tumblin;Marc Walton;Aggelos K. Katsaggelos;Florian Willomitzer;Oliver Cossairt
2021 IEEE International Conference on Image Processing (ICIP)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
The utilization of computational photography becomes increasingly essential in the medical field. Today, imaging techniques for dermatology range from two-dimensional (2D) color imagery with a mobile device to professional clinical imaging systems measuring additional detailed three-dimensional (3D) data. The latter are commonly expensive and not accessible to a broad audience. In this work, we pr...Show More
A Data Fusion Method For The Delayering Of X-Ray Fluorescence Images Of Painted Works Of Art
L. D. Fiske;A. K. Katsaggelos;M. C. G. Aalders;M. Alfeld;M. Walton;O. Cossairt
2021 IEEE International Conference on Image Processing (ICIP)
Year: 2021 | Conference Paper |
Cited by: Papers (6)
In this manuscript, we address the problem of studying layer structure in X-ray Fluorescence (XRF) elemental maps of paintings through the incorporation of reflectance imaging spectral data in the visible or near IR range. We propose a conceptually flexible approach, which involves an initial clustering step for the visible hyperspectral reflectance data (RIS) and the formation of a synthetic surf...Show More
Low-budget 3D scanning and material estimation using PyTorch3D
Oliver Cossairt;Florian Willomitzer;Chai-Kai Yeh;Marc Walton
2020 54th Asilomar Conference on Signals, Systems, and Computers
Year: 2020 | Conference Paper |
Cited by: Papers (1)
In this paper, we present recent results on our effort to develop low-budget, high precision 3D scanning solutions for art museum conservators. There is a real need for this in cultural heritage applications where the potential to detect and monitor degradations is of critical importance, but financial resources for high-quality 3D scanning devices is limited to a select few larger institutions. T...Show More
Adaptive Image Sampling Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction
Qiqin Dai;Henry Chopp;Emeline Pouyet;Oliver Cossairt;Marc Walton;Aggelos K. Katsaggelos
IEEE Transactions on Multimedia
Cited by: Papers (25)
This paper presents an adaptive image sampling algorithm based on Deep Learning (DL). It consists of an adaptive sampling mask generation network which is jointly trained with an image inpainting network. The sampling rate is controlled by the mask generation network, and a binarization strategy is investigated to make the sampling mask binary. In addition to the image sampling and reconstruction ...Show More
3D Surface Measurement and Analysis of Works of Art
Bingjie Xu;Florian Willomitzer;Chia-Kai Yeh;Fengqiang Li;Vikas Gupta;Jack Tumblin;Marc Walton;Oliver Cossairt
2019 53rd Asilomar Conference on Signals, Systems, and Computers
Year: 2019 | Conference Paper |
Cited by: Papers (4)
Surface shape metrology encompasses broad topics within cultural heritage science. However, most existing surface shape measurement systems are bulky and restricted to lab environments. As most are not practical for large, delicate or fixed works of art, such as stained-glass windows or oil-painted murals, we develop methods to measure matte and specular surfaces using hand-held mobile devices. In...Show More
Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks
Neda Rohani;Emeline Pouyet;Marc Walton;Oliver Cossairt;Aggelos K. Katsaggelos
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2019 | Conference Paper |
Cited by: Papers (12)
In this paper, the problem of automatic nonlinear unmixing of hyperspectral reflectance data using works of art as test cases is described. We use a deep neural network to decompose a given spectrum quantitatively to the abundance values of pure pigments. We show that adding another step to identify the constituent pigments of a given spectrum leads to more accurate unmixing results. Towards this,...Show More
Shape-from-Shifting: Uncalibrated Photometric Stereo with a Mobile Device
Chia-Kai Yeh;Fengqiang Li;Gianluca Pastorelli;Marc Walton;Aggelos K. Katsaggelos;Oliver Cossairt
2017 IEEE 13th International Conference on e-Science (e-Science)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
Surface shape scanning techniques, such as laser scanning and photometric stereo, are widespread analytical tools used in the field of cultural heritage. Compared to regular 2D RGB photos, 3D surface scans provide higher fidelity of an object's surface shape which assist conservators, art historians, and archaeologists in understanding how these artworks and artifacts are made and to digitally doc...Show More
Spatial-Spectral Representation for X-Ray Fluorescence Image Super-Resolution
Qiqin Dai;Emeline Pouyet;Oliver Cossairt;Marc Walton;Aggelos K. Katsaggelos
X-ray fluorescence (XRF) scanning of works of art is becoming an increasing popular nondestructive analytical method. The high quality XRF spectra is necessary to obtain significant information on both major and minor elements used for characterization and provenance analysis. However, there is a tradeoff between the spatial resolution of an XRF scan and the signal-to-noise ratio (SNR) of each pix...Show More
Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images
Neda Rohani;Johanna Salvant;Sara Bahaadini;Oliver Cossairt;Marc Walton;Aggelos Katsaggelos
2016 24th European Signal Processing Conference (EUSIPCO)
Year: 2016 | Conference Paper |
Cited by: Papers (10)
In this paper, we study the problem of automatic identification of pigments applied to paintings using hyperspectral reflectance data. Here, we cast the problem of pigment identification in a novel way by decomposing the spectrum into pure pigments. The pure pigment exemplars, chosen and prepared in our laboratory based on historic sources and archaeological examples, closely resemble the material...Show More
Computational Imaging for Cultural Heritage: Recent developments in spectral imaging, 3-D surface measurement, image relighting, and X-ray mapping
Xiang Huang;Erich Uffelman;Oliver Cossairt;Marc Walton;Aggelos K. Katsaggelos
IEEE Signal Processing Magazine
Cited by: Papers (18)
Because art is inherently visual, the use of imaging has long been an important way to understand its structure, form, and history. Recently, new ways of engaging with objects from our shared cultural heritage are possible with advances in computation and imaging that allow scientists to analyze art noninvasively, historians to pose new social questions about the art, and the public to explore and...Show More
X-Ray fluorescence image super-resolution using dictionary learning
Qiqin Dai;Emeline Pouyet;Oliver Cossairt;Marc Walton;Francesca Casadio;Aggelos Katsaggelos
2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
X-Ray fluorescence (XRF) scanning of works of art is becoming an increasingly popular non-destructive analytical method. The high quality XRF spectra is necessary to obtain significant information on both major and minor elements used for characterization and provenance analysis. However, there is a trade-off between the spatial resolution of an XRF scan and the Signal-to-Noise Ratio (SNR) of each...Show More
Keynote speakers: Computational imaging: How much imaging — How much computation?
Gerd Häusler;David Forsyth;Marc Walton;Francis Halzen;Aydogan Ozcan
2016 IEEE International Conference on Computational Photography (ICCP)
Year: 2016 | Conference Paper |
This talk will discuss (from the viewpoint of a physicist with background in optical engineering and information) how much imaging and how much computing is (or should be) in computational imaging, aiming for high information efficiency. For an opticist the order of the keywords “computational imaging” is inverted: imaging is the first operation in the sequence, as optics does the encoding for red...Show More
Surface shape studies of the art of Paul Gauguin
Oliver Cossairt;Xiang Huang;Nathan Matsuda;Harriet Stratis;Mary Broadway;Jack Tumblin;Greg Bearman;Eric Doehne;Aggelos Katsaggelos;Marc Walton
Starting in the 1890s the artist Paul Gauguin (1848-1903) created a series of prints and transfer drawings using techniques that are not entirely understood. To better understand the artist's production methods, photometric stereo was used to assess the surface shape of a number of these graphic works that are now in the collection of the Art Institute of Chicago. Photometric stereo uses multiple ...Show More
Crowd-sourced mobile phone images for heritage conservation monitoring
Wensen Ma;Marc Walton;Oliver Cossairt;Greg Bearman;Eric Doehne
We propose quantifying color in crowd-sourced images from mobile phones to monitor built heritage over time. Time-lapse color movies in CIE color space can provide information on a large range of deterioration mechanisms, including soiling, biofilm growth, weathering and vandalism. Citizen science can create large-scale geographical coverage of sites difficult to obtain any other way. We show that...Show More
In this paper, we propose a near-light illumination model for image relighting and 3D shape recovery. Classic methods such as used by the popular RTI software from Cultural Heritage Imaging assume that lighting is infinitely far away from the scene. However, this constraint is impossible to achieve in practice: light sources cannot be too far away from the scene due to space and power constraints....Show More
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