摄影测量学
倾斜(摄像机)
计算机科学
计算机视觉
运动规划
路径(计算)
三维模型
人工智能
计算机图形学(图像)
工程类
机械工程
机器人
程序设计语言
出处
期刊:Journal of physics
[IOP Publishing]
日期:2025-08-01
卷期号:3079 (1): 012078-012078
标识
DOI:10.1088/1742-6596/3079/1/012078
摘要
Abstract The drone oblique photogrammetry technology has been widely used in military and civilian fields due to its advanced positioning technology, rich image information, and accurate geographic information. This article proposes solutions based on the “point set affine registration (ICP) with control point consistency constraints [1] ” and “adaptive chaotic particle swarm optimization (SACPSO) [2] ” algorithms to address the problems of “extremely difficult image point set registration” and “common iterative algorithm population easily falling into local optima” when using unmanned aerial vehicle (UAV) oblique photogrammetry technology for high simulation real-world 3D model construction and path planning.
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