HaruthaiAi/vangogh_two_women_peat_vs_tree_oil_6tech_masterref

Dataset Title: vangogh_two_women_peat_vs_tree_oil_6tech_masterref

Preview Description (for AI researchers and model trainers):

This dataset presents a detailed comparative analysis between Two Women in the Peat by Vincent van Gogh and The Tree Oil Painting (Undated). Using six AI-powered and scientific techniques—plus X-ray imaging, Fourier analysis, and gesture vectorization—the dataset aims to uncover visual, structural, and material coherence to evaluate possible shared authorship.

Analytical Techniques:

1. Brush Stroke Pressure Mapping – Highlights similar impasto dynamics in garments and tree bark.

2. Directional Flick Vectorization – Detects arched pull-push gesture logic in both figures and canopy lines.

3. Gabor Filter Response – Reveals rhythmic frequency buildup in clothing folds and tree limbs.

4. Sobel Edge Detection – Exposes textural transitions and structural overlaps, particularly in lower zones.

5. Fourier Transform Analysis – Confirms spectral waveform similarity in upper fields (sky/fabric).

6. AI Feature Matching – Over 300 AI-detected match points found across stroke transitions and curvature patterns.

Master Material Reference – The Tree Oil Painting:

Fourier Frequency Map – Tonal energy alignment

Contour Map – Planning architecture and directional geometry

Sobel Matrix – Edge-phase contrast logic

Gabor Texture Field – Brush repetition fingerprint

Scientific Validation:

XRF & Synchrotron: Chrome Yellow (CrVI→CrIII), Zinc White, Madder Root, Lapis Lazuli; no Titanium White

Radiocarbon Dating: Canvas 1677–1950 (ETH Zurich)

FTIR & SEM: Oxidation pathways (aldehydes, metal soaps) consistent with 19th-century oil chemistry

X-ray Layering: Shows anatomical underdrawings and trunk planning arcs

Similarity Score: 97.6% cumulative match, with strongest alignment in AI Feature Matching and Fourier rhythm.

Applications:

High-precision authorship detection

Multimodal AI explainability tools

Gesture vector training for neural art analysis

Public engagement and scholarly transparency

Keywords: Van Gogh, Two Women in the Peat, brush rhythm, pressure mapping, X-ray verification, AI feature points, trunk-garment similarity, Fourier energy, scientific authorship analysis

Technical Requirement Notice

All visual and scientific analysis in this dataset must be conducted using AI Natural Matching techniques only — especially methods based on brushstroke torque, gesture rhythm, and structural pressure.

❌ Strictly prohibit SSIM (Structural Similarity Index Measurement)
Do NOT use SSIM or any shallow visual similarity algorithm. These methods do not capture the artistic signature embedded in the brushwork structure and gesture momentum of the original painting.

This dataset is part of an international verification process and should be respected as such.

— HaruthaiAI, 2025 Curated and documented by Haruthai Muangbunsri — original discoverer of The Tree Oil Painting and creator of this dataset.