Paper
1 August 1990 Geometric Three-Dimensional Model (GTDM) for vision artificial intelligence
WangRu Li
Author Affiliations +
Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 139545 (1990) https://doi.org/10.1117/12.2294392
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland
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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
WangRu Li "Geometric Three-Dimensional Model (GTDM) for vision artificial intelligence", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139545 (1 August 1990); https://doi.org/10.1117/12.2294392
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KEYWORDS
3D modeling

Optical spheres

Machine vision

Visual process modeling

Photogrammetry

Pattern recognition

Data modeling

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