插图。元板块 "的处理结果。

Yongjun Zhang
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引用次数: 0

摘要

FRONTISPIECE.MetaBoard" 的处理结果。建议的校准板 "MetaBoard "在不同的校准环境中进行检测和处理(Dong 等人,本期)。真实图像由单反相机、广角镜头相机和鱼眼相机拍摄。相应的模拟数据由 Blender 渲染。上图:不同光照下的目标检测对比。基于学习的目标检测算法与传统方法(即 OpenCV)进行了比较。下图不同场景下的电路板处理结果。建议的方法可以在不同的扭曲、倾斜角度以及简单或复杂的环境下处理木板,而这些场景对于传统方法来说都是挑战。
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Frontispiece. Processing results of “Meta‐Board”.
FRONTISPIECE. Processing results of “MetaBoard”. The proposed calibration board “MetaBoard” is detected and processed in various calibration environments (Dong et al., this issue). The real images are captured by a singlelens reflex camera, a camera with a wideangle lens and a fisheye camera. The corresponding simulation data is rendered by Blender. Top: Target detection comparison under different illuminations. The proposed learningbased target detection algorithm is compared with traditional methods (i.e., OpenCV). Bottom: Board processing results in various scenarios. The proposed method can process the board under different distortions, tilted angles and simple or complex environments, where those scenarios are challenging for traditional methods.
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59th Photogrammetric Week: Advancement in photogrammetry, remote sensing and Geoinformatics Obituary for Prof. Dr.‐Ing. Dr. h.c. mult. Gottfried Konecny Topographic mapping from space dedicated to Dr. Karsten Jacobsen’s 80th birthday Frontispiece: Comparison of 3D models with texture before and after restoration ISPRS TC IV Mid‐Term Symposium: Spatial information to empower the Metaverse
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