The process refers to retrieving point cloud data, stored in the standardized E57 file format, from a cloud-based platform dedicated to reality capture data management. These platforms, like Reality Cloud Studio, offer infrastructure for storing, processing, and sharing large datasets acquired through laser scanning or photogrammetry. An example would be accessing a scan of a building’s facade, formatted as an E57 file, after it has been uploaded and processed on such a cloud service.
Accessing point cloud data in this manner enables efficient collaboration and data utilization. By leveraging cloud infrastructure, users can bypass the limitations of local storage and processing power, facilitating remote access and streamlined workflows. This accessibility is particularly crucial in fields like architecture, engineering, and construction (AEC), where large datasets are routinely shared among distributed teams. Historically, data sharing relied on physical media or dedicated servers, but cloud solutions offer greater scalability and accessibility, improving project efficiency.
