搜索结果: 1-8 共查到“测绘科学技术 RANSAC”相关记录8条 . 查询时间(0.068 秒)
结合区域增长与RANSAC的机载LiDAR点云屋顶面分割
屋顶面分割 迭代区域增长 RANSAC 机载LiDAR点云
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2021/6/30
建筑物屋顶面大小差异较大、形状复杂、数量不确定等特点，以及机载LiDAR点云密度不均、分布不规则、缺乏语义信息等特性，对屋顶面的准确分割造成了很大干扰，因此现有分割方法的精度和适用性仍有待提高。针对上述问题，本文提出一种结合区域增长与RANSAC的机载LiDAR点云屋顶面分割方法。首先，引入稳健的法向量估计算法计算点云法向量，利用提出的迭代区域增长策略和RANSAC提取多个可靠屋顶面片；然后，基于...
AN INTEGRATED RANSAC AND GRAPH BASED MISMATCH ELIMINATION APPROACH FOR WIDE-BASELINE IMAGE MATCHING
Image Matching Outlier Detection Epipolar Line Graph Matching Wide-baseline Matching
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2016/1/15
In this paper we propose an integrated approach in order to increase the precision of feature point matching. Many different algorithms have been developed as to optimizing the short-baseline image ma...
HOUGH-TRANSFORM AND EXTENDED RANSAC ALGORITHMS FOR AUTOMATIC DETECTION OF 3D BUILDING ROOF PLANES FROM LIDAR DATA
LIDAR Processing Detection Extraction Building Segmentation Modelling
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2015/11/10
Airborne laser scanner technique is broadly the most appropriate way to acquire rapidly and with high density 3D data over a city.Once the 3D Lidar data are available, the next task isthe automatic da...
ESTIMATING THE ESSENTIAL MATRIX:GOODSAC VERSUS RANSAC
essential matrix robust estimation RANSAC structure from motion
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2015/8/31
GOODSAC is a paradigm for estimation of model parameters given measurements that are contaminated by outliers. Thus, it is an alternative to the well known RANSAC strategy. GOODSAC’s search for a prop...
ESTIMATING THE ESSENTIAL MATRIX: GOODSAC VERSUS RANSAC
essential matrix robust estimation RANSAC structure from motion
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2015/8/28
GOODSAC is a paradigm for estimation of model parameters given measurements that are contaminated by outliers. Thus, it is an alternative to the well known RANSAC strategy. GOODSAC’s search for a prop...
Epipolar Rectification for CARTOSAT-1 Stereo Images Using SIFT and RANSAC
Epi-polar rectification image matching SIFT, Ransac Cartosat-1 stereo
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2014/12/16
Cartosat-1 provides stereo images of spatial resolution 2.5 m with high fidelity of geometry. Stereo camera on the spacecraft has look angles of +26 degree and -5 degree respectively that yields effec...
Improving HySpex Sensor Co-registration Accuracy using BRISK and Sensor-model based RANSAC
Matching Estimation Orthorectification Photogrammetry Hyper spectral
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2014/12/4
In this paper a method to improve the co-registration accuracy of two separate HySpex SWIR and VNIR cameras is proposed. The first step of the presented approach deals with the detection of point feat...
RANSAC平面估计算法在路面物体体积测量中的应用
体积测量 点云优化 RANSAC算法 路面三维重建
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2014/4/23
在利用车载单线式激光扫描仪实施路面三维重建及路面目标物体积测量的应用中，使用RANSAC平面估计算法获得了路面的零高度平面，提高了路面目标物体积计算的精度。实际测试表明，对路面上一不规则形状坑，采用注水法测量得到的坑体积为2.25立方米，点云经优化前后计算得到的坑体积分别为1.86立方米和2.10立方米，误差分别为17.3%和6.7%，点云优化过程耗时约7秒。因此，本文的路面三维点云优化方法速度快...