| dc.contributor.author | Qose, Endi | |
| dc.date.accessioned | 2025-01-23T11:25:55Z | |
| dc.date.available | 2025-01-23T11:25:55Z | |
| dc.date.issued | 2024-06-25 | |
| dc.identifier.uri | http://dspace.epoka.edu.al/handle/1/2363 | |
| dc.description.abstract | In today’s world there is a growing urgency to protect artifacts and important landmarks due, to environmental factors and human activities. As a result, experts and conservationists are reevaluating their methods realizing the need for approaches to address the challenges facing cultural sites. In the realm of technology advancements, tools like 3D point cloud data, laser scanning and augmented reality (AR) have become essential for preservation efforts. These tools go beyond reacting to issues by taking steps to prevent risks. The use of 3D point cloud data allows for replicas of archaeological sites and structures helping conservationists preserve intricate details that are at risk of damage. AR technologies play a role in enhancing preservation work by offering experiences that support virtual exploration and education promoting greater awareness and respect for our shared past. Central to these pursuits is a commitment to safeguarding cultural heritage that goes beyond simple preservation efforts. Researchers aim to deepen our understanding of humanity’s tapestry through interdisciplinary collaboration and innovative methods. Their goal is to develop solutions that can be passed down through generations ensuring access, to and appreciation of our collective heritage. At the intersection of preserving heritage and embracing technology this academic study offers a broad perspective, on the use of 3D point cloud data and augmented reality. It opens up ways to understand and protect our shared heritage. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Point Cloud, Augmented Reality, Venetian Tower, Structure from Motion, Multi-View Stereo, Image, Scene, Object | en_US |
| dc.title | AUGMENTED REALITY – ENHANCED CILTURAL HETIRTAGE PRESERVATION USING POINT – CLOUD DATA | en_US |
| dc.type | Thesis | en_US |