関連する実験動画
Updated: Jan 8, 2026

04:43
Visualizing Visual Adaptation
Published on: April 24, 2017
9.5K
ゴッホの絵画における多重フラクタル輝度と美的複雑性
1Department of Artificial Intelligence, Universidad Politécnica de Madrid, 28660 Madrid, Spain.
Chaos (Woodbury, N.Y.)
|December 22, 2025
まとめ
フィンセント・ファン・ゴッホ
科学分野:
- 美術史
- 複雑系
- データサイエンス
背景:
- フィンセント・ファン・ゴッホの後期の絵画は、動きのような質感と輝くコントラストを特徴としています。
- 以前の研究では、個々の芸術作品に乱流のような統計が特定されていました。
- 彼の作品全体にわたる視覚的複雑性の体系的な定量化が欠如していました
研究 の 目的:
- ゴッホの後期の絵画における視覚的複雑性を体系的に定量化すること。
- 彼の最後の創造期間におけるスケール依存組織の進化を調べること。
- フラクタル解析を通じて、心理状態と芸術的表現の関係を探求すること
主な方法:
- 二次元多重フラクタルデトレンド変動解析(MF-DFA)を適用した。
- ゴッホの最後の15ヶ月の主要な4つの絵画を分析した。
- 多重フラクタル挙動を要約するためにフラクタル乱流指数(FTI)を導入した
主要な成果:
- 絵画間の多重フラクタル挙動に明確な違いがあることを特定した。
- 心理的不安定な時期の絵画は、より広い多重フラクタルスペクトルを示した。
- 穏やかな時期の作品は、より均一なスケーリングパターンを示した
結論:
- 多重フラクタル解析は、心理状態に関連する輝度組織の体系的な変動を明らかにする。
- フラクタル乱流指数は、構造的複雑性によって絵画を効果的に区別する。
- 乱流解析からの手法は、芸術における創発的な秩序と変動性を定量化できる
関連する概念動画
Gestalt Principles of Perception
1000
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
1000
Convergence of Fourier Series
355
The Fourier series is a powerful mathematical tool for representing periodic signals as an infinite sum of complex exponentials. In practice, this infinite series is truncated to a finite number of terms, yielding a partial sum. This truncation makes the approximation of the signal feasible but introduces certain challenges, particularly near discontinuities, known as the Gibbs phenomenon.
The Gibbs phenomenon refers to the persistent oscillations and overshoots that occur near discontinuities...
The Gibbs phenomenon refers to the persistent oscillations and overshoots that occur near discontinuities...
355
Perceptual Constancy
1.2K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.2K
Focusing of Light in the Eye
5.2K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
5.2K
Super-resolution Fluorescence Microscopy
12.1K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.1K
Properties of Fourier series II
498
Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
A function f(t) is...
498

