Technical Paper presented at 3D-ARCH Workshop

The team at project partner NTUA have presented a technical paper related to their work in the SOPRANO project titled "3D Edge Detection based on Normal Vectors"at the 3D-Arch Workshop held in Siena, Italy on 21-23 February. The NTUA team were pleased to receive a Best Paper Award at the workshop.

Abstract:

Edge detection is supported by extensive research and is part of different photogrammetric and computer vision tasks across numerous application areas. While 2D edge detection may achieve high accuracy results from several automated methods, the automation of edge detection in 3D space remains a challenge. Existing methods are often computationally demanding and heavily parameterized, leading to a lack of adaptability. In real-world applications 3D edges, representing the object boundaries and break lines, are crucial, particularly in fields such as computer vision, robotics and architecture. In this context, we present a method that automates 3D edge detection in 3D point clouds exploiting the normal vectors’ direction differences to detect finite edges, which are further pruned and grouped to edge segments and fitted to indicate the presence of a 3D edge.

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