Paints analysis and conservation treatment of painted sculpture: Jean Dubuffet, Guard Dog II

Han, Ye; Lee, Na Ra; Kim, Young Mok; Shin, Jeong Ah; sun, Min Kyong; Kwon, Hee Hong

doi:10.1007/s42452-021-04830-y

Cited by 3 publications

(4 citation statements)

References 27 publications

(29 reference statements)

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“…It is assumed that there are two images; in the specific fusion process, the Gaussian pyramid corresponding to the image is constructed, and then the Laplacian pyramid is built according to the relevant characteristics of the graph. The weighted average fusion is performed in each bandpass layer, and the fused image is obtained by continuously accumulating pyramids [ 2 ]. Xiang et al invented a Harris detection operator theory, the core idea of which is based on the signal autocorrelation function; by extracting features such as small-angle rotations within image elements, a sub-pixel level of accuracy is finally achieved.…”

Section: Literature Reviewmentioning

confidence: 99%

“…e weighted average fusion is performed in each bandpass layer, and the fused image is obtained by continuously accumulating pyramids [2]. Xiang et al invented a Harris detection operator theory, the core idea of which is based on the signal autocorrelation function; by extracting features such as small-angle rotations within image elements, a subpixel level of accuracy is finally achieved.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks

Wang

2022

International Journal of Analytical Chemistry

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In order to solve the research on the extraction of ceramic sculpture artwork patterns, and, in the process of image reproduction, the problem of too few feature points in the object image, the author proposes an image stitching algorithm that combines SIFT and MSER algorithms. After comprehensively analyzing the principles, advantages, and disadvantages of the current main image stitching methods, in terms of feature matching, based on the K-D tree search algorithm, the improved BBF algorithm is used to improve the search efficiency of feature points. In order to remove the possible cracks in the stitching process, an improved multiband fusion algorithm is used to seamlessly stitch the registered images. The results show that the feature points detected by the one-dimensional normal distribution algorithm are on average 0.1%, 0.5%, 1.7%, 4.4%, and 9.2%. The algorithm combining SIFT and MSER to extract feature points can reach 3.6%, 4.6%, 8.4%, 15%, and 19.1%. The experimental results show that the algorithm proposed by the author can extract more image feature points to facilitate later image registration. The image blur phenomenon in the original image fusion algorithm is solved, and a complete and clear two-dimensional plane pattern is finally obtained.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks

Wang

2022

International Journal of Analytical Chemistry

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“…In this study, the mean square error was used for the calculation. (5) shows the explicit computational form of…”

Section: System Design For Interoperability Research Of Sculpture And...mentioning

confidence: 99%

“…It rst paints according to the artistic information and cultural information that the sculpture needs to re ect, and then the engraver sculpts according to the content of the painting. Sculpture art tends to last longer than painting artworks, and it can generate more long-term historical information [4,5]. ere are obvious di erences between the characteristics of traditional Chinese sculpture and Western sculpture.…”

Section: Introductionmentioning

confidence: 99%

Interoperability Analysis between Traditional Chinese Sculpture and Painting Modeling from the Perspective of Big Data Management

Yang

2022

Mathematical Problems in Engineering

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Chinese traditional sculpture and painting have strong interoperability in terms of patterns, colors, and lines. Chinese sculpture and painting art are traditional Chinese works of art. The art of painting is often the basis for sculptural art. A good sculptural work of art often requires the pattern and color foundation of the painting. Moreover, Chinese traditional sculpture artworks often reflect certain historical information and humanistic spirit. Traditional artificial methods are often difficult to discover the intercommunication between cultural information between Chinese sculpture and painting. For the interoperability between sculpture and painting artworks, artists only rely on professional knowledge and aesthetic ability to discover some interoperability in patterns, colors, and lines, which is insufficient for understanding Chinese sculpture and painting. This study designs a novel hybrid CNN-LSTM method to study the interoperability of Chinese sculptures and paintings in terms of patterns, colors, lines, and cultural information. CNN can extract patterns, colors, and line features of Chinese paintings and sculptures. The cultural characteristics of Chinese sculptures have obvious temporal characteristics, which can be mined by LSTM technology. The research results show that the hybrid CNN-LSTM method has good feasibility and accuracy in studying the interoperability of traditional Chinese sculpture and painting. In terms of average error, the largest error is only 3.03% and this part of the error comes from the prediction of Chinese sculpture and painting cultural information. All other features of traditional sculpture and painting are predicted to be within 3%. For the prediction of color features, the error is only 1.13%. Prediction errors for patterns, colors, and lines are within acceptable limits.

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Canvas Painting Analysis Using Spectroscopic Analysis and Microcharacterisation Techniques

Borg

Dunn

Ang

et al. 2022

Sensors

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Raman spectroscopy is a well-recognised tool for the analysis of materials in canvas paintings. However, it can be difficult to interpret the peaks of the spectra without the additional context of the artwork such as the age, provenance, or colour. Reflectance spectrophotometry can be used to capture the colour of pigments, dyes, and lacquers, but is seldom used to complement Raman data. Additionally, reflectance spectrophotometry results can be influenced by the surface profile of the painting. To overcome these limitations, this work brings together three different analysis modalities to provide a singular, analytical map of the artwork. Raman spectroscopy was used to conduct the chemical identification of pigments, binding media, and varnish present in a synthetic painting sample. Reflectance spectrophotometry was applied to obtain colour information of the surface paint of the sample. Three-dimensional optical profilometry data was used to characterise the micro topology of the paint surface. These three data sets were spatially matched allowing the recorded spectroscopic data to be displayed with the corresponding colour and surface topography across the paint surface.

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Paints analysis and conservation treatment of painted sculpture: Jean Dubuffet, Guard Dog II

Cited by 3 publications

References 27 publications

A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks

A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks

Interoperability Analysis between Traditional Chinese Sculpture and Painting Modeling from the Perspective of Big Data Management

Canvas Painting Analysis Using Spectroscopic Analysis and Microcharacterisation Techniques

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