Poindexter Village Museum and 3D Reconstruction Project
Sector: Road • Location: Columbus, Ohio, United States
Source: The Lantern
The Ghost Neighborhoods Project by the Center for Urban and Regional Analysis (CURA) is a digital reconstruction initiative that creates immersive 3D models of lost Black neighborhoods, including Poindexter Village in Columbus, which was destroyed by highway construction. The project uses machine-learning techniques to transform historic maps and photos into detailed 3D urban models, incorporating
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Ghost Neighborhoods Project by the Center for Urban and Regional Analysis (CURA) is a digital reconstruction initiative that creates immersive 3D models of lost Black neighborhoods, including Poindexter Village in Columbus, which was destroyed by highway construction. The project uses machine-learning techniques to transform historic maps and photos into detailed 3D urban models, incorporating community input and memories. The 3D models are planned to be displayed in the Poindexter Village Museum, set to open in 2028 in the two remaining historic buildings of the village. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |