三维物体建模系统

摘要

机器人模拟系统在飞速发展的同时，对现实世界的外界环境问题进行分析的能力上的不足成为遏制其继续发展的瓶颈之一。近年来，人工智能领域取得的研究成果为这一问题的解决找到了出路。环境建模技术是自主式移动机器人导航研究中的一个重要环节。

在分析当前普遍采用的一些环境建模方法的基础上，本文尝试着介绍了一种新的环境建模方法—“二维半”描述，即使用二维信息量予以至两个关键参数进行建模。本文旨在介绍通过应用人工智能技术、三维建模技术、OpenGL图库、计算机图形学及“二维半”方法，描述如何构建一个三维建模系统，基本实现标准体、复杂物体等三维物体的建模，完成图形建立、修改、删除，模型的平移、旋转、颜色填充等功能，为机器人环境建模奠定了基础。本建模系统在物体真实感方面有待增强，对三维物体的二维半描述仍需进一步深入研究。

利用特征、二维半、动力学模型和知识，对空间三维物体进行建模，可在某种程度上弥补现实环境信息提取和知识搜索上的不足，不但有望最大限度地减缩冗余数据，而且保证了原有信息不过分丢失。同时还很好地解决了描述细腻与数据量、复杂度、广阔性以及高效率等矛盾间的对立程度，并可应用到物体建模系统的空间分析功能的可行性。三维物体建模是机器人高效完成担负使命的基本条件，同时也是地理信息、智能楼宇管理和野战场景虚拟构建的前提性基础，在众多科技领域中都有着重要的应用。

关键词：人工智能；三维物体建模；二维半

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Abstract

With the rapid development of Robots simulation system, the ability which to analyze the external environment problem of the real world become insufficient, and this problem become one of the bottlenecks that curb its continued development. In recent years, the results in the field of artificial intelligence research have found a way to solve this problem. Environmental Modeling technology is an important element in autonomous mobile robots navigation study.

Base on analyze the environmental Modeling which current widespread use, this article attempts to introduce a new modeling method –‘2.5D’ description, which use the information of two-dimensional and one-two key parameters modeling. The article aims to describe how to construct a three-dimensional modeling system through the application of artificial intelligence technology, 3D modeling, OpenGL library, Computer graphics and ‘2.5D’method, then implements the standard body, complex objects, such as 3D modeling, and completes functions include graphics creation, modification, deletion, model translation, rotation, color filling and so on, lay the foundation of robots environment modeling. In the modeling system, photorealistic of objects need to be enhanced, and a further study need to be done in the 2.5D semi-described of 3D objects.

To some extent using features, 2.5D, dynamic model and knowledge of space objects 3D modeling can make up the inadequate study on the reality of environmental information extraction and knowledge search, and that not only is expected to reduce to the maximum data redundancy, but also ensure the original information minutes lost. On the same time as a good solution to the contradictions between delicate description and data volume, complexity, broadness and the high efficiency of the antagonism, then apply to the space of object modeling system to analyze the feasibility. 3D modeling is one of the basic conditions of robot undertake and efficient complete mission, as well as premise and foundation of geographic

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