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基于几何基元的点模型处理关键技术研究
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摘要
点模型以离散点为表面表达方式,比较于传统的三角网格模型,点模型具有如下优点:数据获取方便、数据结构简单及无需维护拓扑结构等。在计算机图形学领域中,点模型的数字几何处理已成为一个新兴的研究热点。
     本文以点模型为研究对象,以几何基元为基本几何描述方式,探索有效的几何基元的探测方法及其若干关键应用。
     本文的主要的工作内容有:
     1.提出了一种新的基于RANSAC范型的几何基元探测方法,并通过实验结果分析验证了方法的有效性及健壮性;定义了面向局部采样策略的模型分析方法,对于大规模点模型,局部采样策略可确保稳健地提取高概率值的几何基元;在进一步融合惰性评分估计模式的基础上,开发出一套高效实用的算法。
     2.针对大规模点模型,提出了一种基于分解模式的点模型压缩方法;由于几何基元具有良好的逼近属性,故可有效地将图像技术应用于压缩位移映射;点模型交互式绘制时,可实现面向GPU的快速数据解压缩。
     3.提出了基于几何基元导引的点模型分割与匹配方法,旨在自动探测到点模型中蕴含的实体对象;该方法将探测简化为一个图匹配问题:实体对象由其对应的几何基元进行描述,并将实体对象映射为图节点,对象之间的几何关系映射为图边;鉴于几何基元数远低于点数量,故对于大规模点模型,上述图匹配是非常有效的;图匹配过程中,若未满足关联于图边的几何约束,则可快速地检索并删除非法匹配。
     4.基于已探测到的几何基元,可将探测到的几何基元延伸至点模型缺失区域,进而完成几何体上未观测到部分的有效修补。针对包含复合边界的复杂空洞修补问题,本文提出了新的处理策略:极小化一个新的曲面能量,利用该能量可优先选择依附于几何基元的曲面,旨在使修补完成的曲面部分能够与延伸的几何基元完成有效闭合;针对未采用合适几何基元描述的曲面部分,本文方法将自动地选择极小曲面完成修补。
     综上所述,本文对基于几何基元的点模型处理的若干关键环节提出了新的设想及新的算法,为反求工程提供了新的方法与技术,其在计算辅助设计和图形学的工程实际中具有广阔的应用前景。
Point model adopts discrete point as surface presentation. In comparison with triangle mesh model, Point model has following properties:convenient data acquisition, simple data structure, and no need to maintaining topological structure. In consequence, digital geometry processing in point model has been an emerging research focus in computer graphics.
     The paper serves point model as reseach object, and serves geometry primitives as basic geometry presentation. It aims to develop efficient and robust methods for detection of geometry primitives and several key applications.
     The main researches are as follows:
     1. A RANSAC based detection method has been introduced, discussed and analyzed. A theoretical analysis of the employed local sampling strategy has been given. The local sampling allows robust extraction of geometry primitives with high probability even in large point model. In conjunction with the lazy score evaluation scheme this leads to an efficient and effective algorithm.
     2. An algorithm for compression of the decomposed point model has been presented. Due to the good approximation quality of the geometry primitives it is possible to efficiently compress displacement maps using image-based techniques.This even allows for fast decompression on the GPU during interactive rendering.
     3. The segmentation and matching provided by the geometry primitives has been exploited to automatically detect user specified entities in the point model.Detection is reduced to a graph matching problem:Entities are described by their comprising geometry primitives, represented as graph nodes, and their geometrical relations, represented by graph edges. The matching is efficient even on large point model since the number of geometry primitives is much lower than the number of points and invalid matches can be quickly pruned if geometric constraints associated with the edges are not met.
     4. Completion of unobserved parts of geometry has been approached by extending detected geometry primitives in the empty areas. In order to allow the completion of even very complex holes with possibly multiple boundaries the proposed method minimizes a novel surface energy. The energy prefers surfaces that follow the geometry primitives such that the completed parts are effectively closed by extended geometry primitives. However, in case no suitable geometry primitives exist the method automatically and gracefully resorts to a completion by minimal surfaces.
     In a word, this paper proposes new ideas and methods to key procedures in efficient point model processing with geometry primitives, and presented new means and techniques for reverse engineering. It indicated that they have wide application in computer aided design and computer graphics.
引文
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