Determination of the method of construction of 1650 B.C. wall paintings

Papaodysseus, C.; Fragoulis, D.; Panagopoulos, M.; Panagopoulos, T.; Rousopoulos, P.; Exarhos, M.; Skembris, Angelos

doi:10.1109/tpami.2006.183

Cited by 13 publications

(10 citation statements)

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“…They presented such an analysis for Georges de La Tour's painting “Christ in the carpenter's studio.” Based on their findings, they rebutted the claim that the light source of the depicted scene lays outside the painting, which could have been an indication of the use of optical aids as well. Papaodysseus et al ( 2006 ) investigated the use of stencils in late Bronze Age wall paintings by applying a Hough Transform (a method for finding instances of mathematically defined shapes in images), and identified a set of stencils that were likely used during creation of the wall paintings. Kim et al ( 2014 ) propose statistical measures to quantify the usage of individual colors, their variety in a painting, and the roughness of the brightness of a painting and report significant differences for different art periods.…”

Section: Computational Aesthetics: Algorithms and Applicationsmentioning

confidence: 99%

Computational and Experimental Approaches to Visual Aesthetics

Brachmann

Redies

2017

Front. Comput. Neurosci.

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Aesthetics has been the subject of long-standing debates by philosophers and psychologists alike. In psychology, it is generally agreed that aesthetic experience results from an interaction between perception, cognition, and emotion. By experimental means, this triad has been studied in the field of experimental aesthetics, which aims to gain a better understanding of how aesthetic experience relates to fundamental principles of human visual perception and brain processes. Recently, researchers in computer vision have also gained interest in the topic, giving rise to the field of computational aesthetics. With computing hardware and methodology developing at a high pace, the modeling of perceptually relevant aspect of aesthetic stimuli has a huge potential. In this review, we present an overview of recent developments in computational aesthetics and how they relate to experimental studies. In the first part, we cover topics such as the prediction of ratings, style and artist identification as well as computational methods in art history, such as the detection of influences among artists or forgeries. We also describe currently used computational algorithms, such as classifiers and deep neural networks. In the second part, we summarize results from the field of experimental aesthetics and cover several isolated image properties that are believed to have a effect on the aesthetic appeal of visual stimuli. Their relation to each other and to findings from computational aesthetics are discussed. Moreover, we compare the strategies in the two fields of research and suggest that both fields would greatly profit from a joined research effort. We hope to encourage researchers from both disciplines to work more closely together in order to understand visual aesthetics from an integrated point of view.

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Section: Computational Aesthetics: Algorithms and Applicationsmentioning

confidence: 99%

Computational and Experimental Approaches to Visual Aesthetics

Brachmann

Redies

2017

Front. Comput. Neurosci.

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“…For this reason we developed a novel alternative approach for achieving a drastically improved matching of r P i to r M (θ | ). This method is based on the following three procedures (for Lemma 1 and Procedure 1, see also Papaodysseus et al [2006]). LEMMA 1.…”

Section: A New Methods Developed For Optimally Fitting a Given Discretmentioning

confidence: 99%

Image and pattern analysis for the determination of the method of drawing celebrated thera wall-paintings circa 1650 B.C.

Roussopoulos

Papaodysseus

Arabadjis

et al. 2010

J. Comput. Cult. Herit.

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In this article, an integrated conjecture about the method of drawing of monumental prehistoric wall-paintings is presented and supported. Specifically, the article deals with paintings that initially decorated the internal walls of the highest floor of a building, called "Xeste 3", at Akrotiri of the Greek island of Thera circa. 1650 B.C. It is argued that these wall-paintings could had been drawn while the brush was guided by an apparatus, which corresponds to advanced for the era of geometric prototypes with impressive precision. A set of assumptions concerning the actions the artists might have taken in order to create the spiral themes is stated and supported. These assumptions refer to the existence of a draft plan, the sequence of brush strokes, the placement of the brush on the wall, as well as the possible form of the apparatus. These conjectures are evaluated and tested by means of curve fitting and image analysis methods developed by the authors. The results indicate that all drawn contour parts optimally fit along a single prototype linear spiral with fitting error of less than 0.4mm, supporting existence of a very advanced culture for the era of geometric guide. It is statistically rejected that this guide could have the form of a stamp. Moreover, there is strong evidence that the painter might have used a draft plan of the spiral themes to prepare the final drawing and that the linear spiral guide has been used by alternating its placements in order to form the internal and external spiral contour.General Terms: Algorithms Additional Key Words and Phrases: Finding the method of drawing of paintings, prototypes determination in paintings, prehistoric paintings and geometry, curve fitting ACM Reference Format: Roussopoulos, P., Papaodysseus, C., Arabadjis, D., Exarhos, M., and Panagopoulos, M. 2010. Image and pattern analysis for the determination of the method of drawing celebrated Thera wall-paintings circa 1650 B.C. ACM J.

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“…A lower bound for the least squares non-linear regression, between an implicit model curve and the data points of a contour, is given in [3], thus offering a measure for the optimality of the orthogonal distance curve fitting methods. In [4], authors analytically determine the least-squares optimal translation and rotation of an explicit curve model, in order to fit a given set of data points. Then the primary parameters of the model curve are obtained via a 2D iterative region arXiv:1210.2629v1 [cs.CV] 9 Oct 2012 descending process.…”

Section: Previous Work On Fitting Data To Curve Prototypesmentioning

confidence: 99%

“…Among these publication there are approaches that treat the problem of curve fitting (e.g. [1], [5], [4], [10]), or shape matching (e.g. [6]) with an orientation invariant approach, but none of these techniques dealt with the problem of simultaneous fitting the same implicit curve model to different sets of data points.…”

Section: The Present Problem and The Proposed Approachmentioning

confidence: 99%

Optimization in Differentiable Manifolds in Order to Determine the Method of Construction of Prehistoric Wall Paintings

Arabadjis

Rousopoulos

Papaodysseus

et al. 2011

IEEE Trans. Pattern Anal. Mach. Intell.

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Abstract-In this paper a general methodology is introduced for the determination of potential prototype curves used for the drawing of prehistoric wall-paintings. The approach includes a) preprocessing of the wall-paintings contours to properly partition them, according to their curvature, b) choice of prototype curves families, c) analysis and optimization in 4-manifold for a first estimation of the form of these prototypes, d) clustering of the contour parts and the prototypes, to determine a minimal number of potential guides, e) further optimization in 4-manifold, applied to each cluster separately, in order to determine the exact functional form of the potential guides, together with the corresponding drawn contour parts. The introduced methodology simultaneously deals with two problems: a) the arbitrariness in data-points orientation and b) the determination of one proper form for a prototype curve that optimally fits the corresponding contour data. Arbitrariness in orientation has been dealt with a novel curvature based error, while the proper forms of curve prototypes have been exhaustively determined by embedding curvature deformations of the prototypes into 4-manifolds. Application of this methodology to celebrated wall-paintings excavated at Tyrins, Greece and the Greek island of Thera, manifests it is highly probable that these wall-paintings had been drawn by means of geometric guides that correspond to linear spirals and hyperbolae. These geometric forms fit the drawings' lines with an exceptionally low average error, less than 0.39mm. Hence, the approach suggests the existence of accurate realizations of complicated geometric entities, more than 1000 years before their axiomatic formulation in Classical Ages.Index Terms-rotation and translation invariant curve fitting, pattern recognition in paintings, optimization in differentiable manifolds, geometric guides in prehistoric wall paintings, minimal parameters set for curve description, fitting prototype curves to drawn borders.

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Determination of the method of construction of 1650 B.C. wall paintings

Cited by 13 publications

References 10 publications

Computational and Experimental Approaches to Visual Aesthetics

Computational and Experimental Approaches to Visual Aesthetics

Image and pattern analysis for the determination of the method of drawing celebrated thera wall-paintings circa 1650 B.C.

Optimization in Differentiable Manifolds in Order to Determine the Method of Construction of Prehistoric Wall Paintings

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