{"id":5199,"date":"2024-07-28T23:31:39","date_gmt":"2024-07-28T21:31:39","guid":{"rendered":"https:\/\/nwww.crs4.it\/?p=5199"},"modified":"2025-04-28T23:45:51","modified_gmt":"2025-04-28T21:45:51","slug":"prodis","status":"publish","type":"post","link":"https:\/\/www.crs4.it\/en\/technology-catalogue\/prodis\/","title":{"rendered":"PRODIS"},"content":{"rendered":"

PRODIS<\/h3>\n

Processing, distribution and rendering of massive point clouds<\/h3>\n
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Contact<\/h4>\n
Visual Computing Group<\/a>,\u00a0valorisation@crs4.it<\/a><\/div>\n

Challenge<\/h4>\n

The increasing performance and proliferation of digital photography and 3D scanning devices make it possible to acquire, at reasonable costs, very dense and accurate sampling of both geometric and optical surface properties of real objects. Point clouds are one of the most used data types to represent such models in fields like engineering, environmental sciences, or cultural heritage. They are naturally scalable as, the more samples the dataset has, the finer is the representation of the real object or scene. However, current point cloud datasets may become intractable on nowadays hardware, given that they can easily exceed the billions of samples. Managing such large datasets requires scalable techniques for the entire pipeline, from capture and editing to visualization.<\/p>\n

Overview<\/h4>\n

CRS4 has created and developed over the years a suite of methods for supporting the management, distribution and rendering of massive 3D point clouds, such as those acquired by laser scanning or photogrammetric techniques. Our solutions include editable out-of-core multiresolution representations, data fusion techniques for merging color and photographic data, as well as optimized representations for compression and streaming. These tools have been used in industrial applications and licensed to geomatics companies. Moreover, they have been widely used in cultural heritage projects, such as Digital Mont\u2019e Prama.<\/p>\n

Innovative features<\/h4>\n