Title:	The Method of Mixed States for Interactive Editing of Big Point Clouds
Authors:	Benger, Werner Voicu, Anca Baran, Ramona Gonciulea, Loredana Barna, Cosmin Steinbacher, Frank
Citation:	WSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 176-185.
Issue Date:	2023
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/54423
ISBN:	978-80-86943-32-9
ISSN:	2464–4617 (print) 2464–4625 (CD/DVD)
Keywords:	mračno bodů;interakce;klasifikace;editaci dat;datový model svazku vláken;vrátit historii
Keywords in different language:	point cloud;interaction;classification;data editing;fiber bundle data model;undo history
Abstract in different language:	We present a novel methodological approach for the interactive editing of big point clouds. Based on the mathematics of fiber bundles, the proposed approach to model a data structure that is efficient for visualization, modification and I/O including an unlimited multi-level set of editing states useful for expressing and maintain ing multiple undo histories. Backed by HDF5 as high performance file format, this data structure naturally al lows persistent storage for the history of modification actions, an unique new feature of our approach. The challenges of visually based manual editing of big point clouds are discussed and a proper rendering solution is presented. The implemented solution and its features as consequences of the underlying methodology are compared with two major mainstream applications provid ing point-cloud editing tools as well.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2023: Full Papers Proceedings

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