3 boyutlu kent modelleri için LOD optimizasyonu
Bu tez size mi ait?
Bu kayıt toplu arşivden geldi. Sizinse profilinize bağlayın.
Özet (EN)
In addition to city planning, visual digital data and 3D models collected from the urban environment are an important source of inspiration for the field of urban design. As a contrast, the urban environments, rendered in traditional 3D city models, are highly representative and data-driven way. Equivalent to how the development of digital urban data (digitization) has created technologies such as computer-aided design (CAD), building information models (BIM), and geographic information systems (GIS), and made them the industry standard in the past; Industry 4.0; Advancements in 3D scanning technologies that provide realistic visualization of urban space; Increased capacities of graphics processors; The Digital Twin (DT) concept which combined with game engines, brings new perspectives to urban planning and design applications. In this study, besides the basics of a hypothetical LOD categorization to be built especially for the urban area, the qualitative connection between the LOD system optimization used in the field of graphics technologies and the 3D scanned models of the urban area has been examined.
Yazar
Barkın Emirhan Güler
Bu Yayına Nasıl Atıf Yapılır
Barkın Emirhan Güler (Master Thesis). 3 boyutlu kent modelleri için LOD optimizasyonu, 2023, Dokuz Eylül University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
Dokuz Eylül University tezlerinden daha fazlası
- Analysis of speech clarity parameters in open plans offices(2021)
- The characteristic of rural architectural heritage and the conservation problem in Urla region(2019)
- AFAD gönüllülük sisteminin etkin müdahale açısından analiz(2020)
- Examination of martian habitats from the viewpoint ofstructure(2022)
- Environmental graphic design and public installation in the context of 21st century postmodernism(2022)
- Critics against Muawiyah ibn Abi Sufyan(2019)
