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基于距离视图表示与逐点细化结合的点云语义分割方法
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作者 陈晗 何鸿添 雷印杰 《现代计算机》 2024年第4期16-22,共7页
三维点云语义分割是机器实现环境感知的重要途径。在现有的研究中,基于体素的算法和基于点的算法在面对大规模的点云数据时计算效率低下。而基于距离视图的算法,在对点云进行投影和反投影时会不可避免地造成精度损失。针对上述问题,提... 三维点云语义分割是机器实现环境感知的重要途径。在现有的研究中,基于体素的算法和基于点的算法在面对大规模的点云数据时计算效率低下。而基于距离视图的算法,在对点云进行投影和反投影时会不可避免地造成精度损失。针对上述问题,提出了基于距离视图表示与逐点细化结合的点云语义分割新框架RPNet。充分的实验表明,所提出的方法在三维点云室外场景数据集SemanticKITTI上的平均交并比达到64.2%,推理速度达到58帧/秒,兼顾了高精度和高速度。 展开更多
关键词 语义分割 三维点云 距离视图 逐点细化
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On Definition of Geograghic Variable Scaling 被引量:3
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作者 ZHONG Yexun LI Zhanyuan HUANG Hu 《Geo-Spatial Information Science》 2006年第2期147-150,共4页
According to the description effect range, the method of scaling system in cartography is with the precision of four grades: nominal scaling, ordinal scaling, interval scaling and ratio scaling. The authors have rese... According to the description effect range, the method of scaling system in cartography is with the precision of four grades: nominal scaling, ordinal scaling, interval scaling and ratio scaling. The authors have researched their innate character and inherent relations. The essence of evaluation partialordering set (A ,≤) is the mapping of evaluation object (X, ≤) under fixed condition. The collection and classification of xi ∈ X corresponds how to express Aj ∈ A, i.e. , V xi ∈ X→f(xi ) = Aj → A, Aj is the image of xi under mapping f. The function relation between evaluation partial-ordering set (A, ≤) and evaluation object (X, ≤) is decided by the space character and the way of collection and classification. The different space character and way of collection and classification will produce the different express method and evaluation result, accordingly the authors give out the mathematical definitions for nominal scaling, ordinal scaling, interval scaling and ratio scaling respectively. These results have been proved through the examples. 展开更多
关键词 partial-ordering set nominal scaling ordinal scaling interval scaling ratio scaling
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A Fast Algorithm for Improving the Visual Distance in Fog
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作者 YANG Wei XIAO Zhi-tao +1 位作者 YU Jian YAN Zhi-jie 《Semiconductor Photonics and Technology》 CAS 2009年第4期241-246,共6页
Images captured outdoor usually degenerate because of the bad weather conditions,among which fog,one of the widespread phenomena,affects the video quality greatly.The physical features of fog make the video blurred an... Images captured outdoor usually degenerate because of the bad weather conditions,among which fog,one of the widespread phenomena,affects the video quality greatly.The physical features of fog make the video blurred and the visible distance shortened,seriously impairing the reliability of the video system.In order to satisfy the requirement of image processing in real-time,the normal distribution curve fitting technology is used to fit the histogram of the sky part and the region growing method is used to segment the region of sky.As for the non-sky part,a method of self-adaptive interpolation to equalize the histogram is adopted to enhance the contrast of the images.Experiment results show that the method works well and will not cause block effect. 展开更多
关键词 fog image INTERPOLATION region growing histogram equalization fast algorithm normaldistribution
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