BIP! Finder - An Image-based Deep Learning Workflow For 3d Heritage Point Cloud Semantic Segmentation

2022 • An Image-based Deep Learning Workflow For 3d Heritage Point Cloud Semantic Segmentation

Authors: E. Pellis; A. Murtiyoso; A. Masiero; G. Tucci; M. Betti; P. Grussenmeyer

Venue: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Type: Publication

Abstract: Abstract. The interest in high-resolution semantic 3D models of historical buildings continuously increased during the last decade, thanks to their utility in protection, conservation and restoration of cultural heritage sites. The current generation of surveying tools allows the quick collection of large and detailed amount of data: such data ensure accurate spatial representations of the buildings, but their employment in the creation of informative semantic 3D models is still a challenging task, and it currently still requires manual time-co... (read more)

Impact:

8.483825E-9 3.3526892E-9 6 6

/ Attention: 0 39

Topics: Artificial intelligence Computer vision

DOI: 10.5194/isprs-archives-xlvi-2-w1-2022-429-2022

External links: Crossref OpenAIRE

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