Legacy Digitalis offers in-person lectures and seminars in art history. The series focuses on visual literacy: image semantics, color systems and materials, and analysis of works, styles, and periods and their influence on artists.
Format: small groups. Modular structure with a substantive lecture, object analysis, and guided discussion. Handouts and reading lists are provided. Enrollment is limited and announced on the home page. Private lectures for museums, schools, and brands are available on request. Certificates of attendance are available.
Languages: English, German.
We produce museum-grade digital reconstructions of lost or inaccessible objects. The basis is verified sources: archival photographs, drawings, descriptions, measurements, and publications. Geometry, materials, and mechanisms are reproduced in physically accurate 3D. For every component we record sources and mark the boundary between established facts and reconstructive assumptions.
The method covers source collection and criticism, a working hypothesis and object ontology, followed by modeling and expert verification. Models carry confidence levels, full version history, and a decision log. All changes are traceable so researchers can audit the workflow.
The stack includes form and kinematics modeling, PBR materials, accurate lighting, and control of scale and tolerances. For fragile or lost elements we use comparative analysis and parametric variants. A final quality check measures accuracy, legibility, and performance.
Deliverables include glTF, USDZ, and FBX on request, plus web viewing and AR where rights permit. Each object ships with a source dossier and confidence map, provenance metadata, and case-by-case licensing. Exhibition and research packages are available for museums and partners.
The research unit operates at the intersection of art history, digital humanities, and computer graphics. The goal is reproducible and measurable reconstruction. We formalize method, define quality metrics, and document decisions at every step.
We develop and test pipelines, specify protocols for source correlation and confidence criteria, and implement version control, persistent identifiers, and metadata standards. Where rights allow, we publish datasets, ontology schemas, and results with stated limitations.
Ethics, legal compliance, and source context remain under continuous oversight. We follow licensing terms, proper citation, and image-use requirements, involving IP counsel and archival specialists when needed.
Partnerships with museums and universities provide access to collections and peer review. Grant funding supports digitization, image rights, and long-term data preservation. The outcome is verifiable material of value to scholarship, display, and education.