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Journal | [J] 教育与学习 Volume 4, Issue 11. 2022.
机器视觉中的优化算法研究论述
作者 : 邹 慧敏
DOI: 10.12361/2705-0416-04-11-90186
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摘要 / Abstract
机器视觉是信息科学领域一门前沿的综合交叉学科。优化算法在该领域有着十分重要的应用。本文概括了一 些典型问题如位姿问题、图像匹配问题中的优化算法。位姿问题主要有两种模型，三维正交约束下分别极小化一个二 次目标和另一个非线性目标。针对二次模型，本论文综述：一基于加强版Lagrangian对偶设计一个新的快速算法，二是 进一步设计一种巧妙的分支定界算法，一个隐含的好处是我们可以同时优化两个目标（多目标规划）；图像匹配中我们 着重归纳两个问题，一个是匹配求基本矩阵的优化模型以及设计高效算法，另一个是研究图像识别的二次匹配模型及 相关算法。
关键词 / Keywords
机器视觉；位姿问题；图像匹配问题
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