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Geometric Three-Dimensional Model (GTDM) for vision artificial intelligence
Author(s): WangRu Li
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Paper Abstract

In this paper, an idea is proposed concerning the Geometric Three Dimensional Model (GTDM). Through examples, the whole process of setting up the model and its adaptability are demonstrated. Using the method of GTDM for image understanding makes it possible to effectively extract information on random distributed goal. Thus, this is of advantage to the work in the following three areas: (1) To identify the implicit information of the air remote sensing images; (2) To discuss the visual computational theory used for non-generalized cone objects; (3) To develop the accurate guidance technique based on pattern matching.

Paper Details

Date Published: 6 November 2017
PDF: 10 pages
Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139545 (6 November 2017); doi: 10.1117/12.2294392
Show Author Affiliations
WangRu Li, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 1395:
Close-Range Photogrammetry Meets Machine Vision
Armin Gruen; Emmanuel P. Baltsavias, Editor(s)

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