Abstract
Lidar (Light detection and ranging) is a popularly used technology to collect dense and precise data of topographic structures of the surface of the earth. In this paper, we have proposed a user assisted remote visualization system for extraction and visualization of structural features obtained from point cloud data obtained from lidar data. The sharp feature lines such as crest lines, edges of buildings, ravines, ridges are known as structural features of point cloud. Our work includes: (a) parallel implementation a topology-based algorithm for extraction of structural features from lidar point cloud using GPGPU (General Purpose Graphics Processing Unit) computing, and (b) using a LAN (Local Area Network)-based server-client architecture to achieve remote visualization.
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Kumari, B., Ashe, A., Sreevalsan-Nair, J. (2014). Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud. In: Srinivasa, S., Mehta, S. (eds) Big Data Analytics. BDA 2014. Lecture Notes in Computer Science, vol 8883. Springer, Cham. https://doi.org/10.1007/978-3-319-13820-6_10
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DOI: https://doi.org/10.1007/978-3-319-13820-6_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13819-0
Online ISBN: 978-3-319-13820-6
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