Katmanlı 2B İllüstrasyonlardan Fulldome Sahne Kurulumu için Karma-İnisiyatifli Prosedürel Bir İş Akışı

Abstract

Katmanlı 2B illüstrasyonların fulldome ortamlarına aktarımında iki temel güçlük vardır: manuel 3B modelleme yüzlerce sahne öğesi içeren sahnelere ölçeklenmez; yapay zekâ tabanlı monoküler derinlik tahmini yöntemleri ise stilize ve panoramik içerikte alan kayması nedeniyle nesne sınırlarını koruyamaz ve deterministik sanatçı kontrolü sağlayamaz. Mevcut yaklaşımlar prosedürel otomasyon, sanatçı güdümlü kalibrasyon ve dome'a özgü yerleşimi tek bir karma-inisiyatifli akışta birleştirmek yerine ayrı ayrı ele almaktadır. Bu çalışma, katmanlı 2B illüstrasyonları sabit dome kamerası altında yeniden hesap gerektirmeyen kararlı yerleşim ve yönelimle 3B fulldome sahnelere dönüştüren karma-inisiyatifli prosedürel bir iş akışı önermektedir. Sistem, ufuk parametreli bir derinlik haritalama stratejisiyle figürlerin resimsel yüksekliğini radyal derinliğe çevirir; 360° düzen için silindirik haritalama, zemin için örtük yüzey çıkarımına dayalı figür tabanlı arazi uyumu uygular. Hiyerarşik parametrik kalibrasyonla sanatçı, derinlik ve ölçeği hem global hem kategori düzeyinde denetleyebilir. İş akışı, 400 sahne öğesi içeren tarihsel bir canlandırma projesi üzerinde geliştirilip sınanmıştır. Sistem, uygun sahne öğelerinin tamamında prosedürel yerleşim sağlamış, öğe bazlı manuel düzeltmeye gerek kalmamış ve yalnızca üç parametre ayarlama iterasyonu yeterli olmuştur. Alfa-maskesi piksel kesişimiyle otomatik belirlenen 400 örtüşen figür çiftinde (manuel seçim olmadan) kaynak katman ilişkileriyle oklüzyon sıra uyumu 357/400 (%89,25); raycast sonrası ortalama zemin temas düzeltmesi 0,62 m (düzeltmelerin %78'i ±1 m aralığında) olarak ölçülmüştür. Üretim süresinin yaklaşık 30 kat azaldığı tahmin edilmektedir. Bu bulgular, kural tabanlı derinlik haritalama ile karma-inisiyatifli parametrik kalibrasyonun stilize panoramik içerikte fulldome sahne kurulumu için uygulanabilir, deterministik ve sanatçı kontrollü bir yaklaşım sunduğunu göstermektedir.

Keywords

• prosedürel içerik üretimi
• fulldome görselleştirme
• karma-inisiyatifli tasarım
• derinlik haritalama sezgiseli
• sahne kurulumu
• dijital kültürel miras görselleştirme

A Mixed-Initiative Procedural Workflow for Fulldome Scene Assembly from Layered 2D Illustrations

Abstract

Transferring layered 2D illustrations to immersive fulldome environments is challenging: manual 3D modeling does not scale to scenes containing several hundred elements, while AI-based monocular depth estimation (MDE) suffers from domain shift on stylized and panoramic content and lacks deterministic artist control. Existing approaches address procedural automation, artist-driven calibration, and dome-specific layout separately rather than in one mixed-initiative pipeline. This study proposes a mixed-initiative procedural workflow that transforms layered 2D illustrations into 3D fulldome scenes with stable placement and billboard orientation under a fixed dome camera, requiring no recomputation under camera rotation. The system uses a horizon-parameterized depth mapping heuristic converting pictorial height into radial depth, cylindrical mapping for 360° layout, and figure-derived terrain fitting via implicit surface reconstruction. Hierarchical parametric calibration preserves artist control over depth and scale at global and category levels. The workflow was tested on a 400-element historical visualization project. It achieved full procedural placement coverage across eligible scene elements with no per-element manual correction, completed in three parameter-adjustment iterations. Across 400 automatically identified overlapping figure pairs, determined by pixel-level alpha-mask intersection without manual selection, occlusion-order consistency with source-layer relations was 357/400 (89.25%). The mean ground-contact correction after raycasting was 0.62 m, with 78% of corrections within ±1 m. Production time was estimated to improve approximately 30-fold. Rule-based depth mapping with mixed-initiative calibration thus offers a viable, deterministic, artist-controllable approach for fulldome scene assembly from stylized panoramic content.

Keywords

• procedural content generation
• fulldome visualization
• mixed-initiative design
• depth mapping heuristic
• scene assembly
• digital heritage visualization

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