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Related Experiment Video

Updated: Jun 17, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Integrating Terrestrial Laser Scanning, Generative AI, and Mixed Reality for Digital Heritage Reconstruction.

Bin Li¹, Jiaxiang Luo², Yixuan Liu²

¹Manchester School of Architecture, Manchester Metropolitan University.

Journal of Visualized Experiments : Jove

|June 15, 2026

Summary

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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...

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This study presents a new digital preservation method for urban heritage. It combines 3D laser scanning, AI-generated visuals, and augmented reality to create immersive experiences for cultural sites.

Area of Science:

Digital Heritage
Architectural Conservation
Cultural Memory Studies

Background:

Urbanization in developing regions threatens architectural heritage and cultural memory.
Traditional conservation methods are insufficient for capturing complex spatial and temporal data.
There is a need for advanced methodologies integrating archiving and public engagement.

Purpose of the Study:

To introduce a novel combinatorial methodological framework for digital preservation of urban heritage.
To bridge the gap between rigorous archiving and dynamic public engagement.
To develop a technically feasible and scalable workflow for augmented exhibition of heritage landmarks.

Main Methods:

Terrestrial Laser Scanning (TLS) for millimeter-accurate geometric data acquisition.

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Last Updated: Jun 17, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Conditional Generative Artificial Intelligence (CGAI) for creating historically informed visualizations of lost elements.

Augmented Reality (AR) with holographic headsets for a unified Mixed Reality (MR) experience.

Main Results:

A workflow integrating TLS, CGAI, and AR for digital heritage preservation.
Successful overlay of high-precision spatial data with interpretive cultural visualizations.
Creation of a dynamic digital simulacrum for augmented exhibition.

Conclusions:

The proposed framework offers a robust solution for the digital preservation of architectural heritage.
This combinatorial approach enhances both the archiving and public engagement aspects of conservation.
The methodology is technically feasible and scalable for urban heritage landmarks.