nearestKSearch (cloud_eigen.points.row (i), no_of_neighbors, k_indices, k_distances); } } 開發者ID:xhy20070406,項目名稱:PCL,代碼行數:48,代碼來源:test_kdtree.cpp示例2: test_point ▲ 點讚7 ▼ TEST (PCL, KdTreeFLANN_nearestKSearch) { KdTreeFLANN<MyPoint> kdtree; kdtree.setInput...
kdtree.radiusSearch (cloud_big.points[i],0.1, k_indices, k_distances); } } } 开发者ID:xhy20070406,项目名称:PCL,代码行数:60,代码来源:test_kdtree.cpp 示例4: isInStableArea boolisInStableArea(std::vector<XYZNormalCloud::Ptr> &clouds,std::vector<KdTreeFLANN<PointNormalT>::Ptr > &trees...
针对你提出的错误“[pcl::kdtreeflann::setInputCloud] cannot create a kdtree with an empty input cloud!”,我将从以下几个方面进行分析和解答: 确认错误信息的来源和含义: 这个错误信息表明在尝试使用PCL(Point Cloud Library)中的pcl::KdTreeFLANN类来构建一个KD树时,输入的点云数据是空的。在PCL中,KD...
inEstimator.cpp,line 930:kdtreeNonFeatureFromLocal->setInputCloud(laserCloudNonFeatureFromLocal);beforethis line, add:if(!laserCloudNonFeatureFromLocal->empty()) you can try it! thanks, I try it and it works. But I just run on "IMU Mode 0" and "IMU Mode 1". On "IMU Mode 2", it...
template<typenamePointT,typenameDist = ::flann::L2_Simple<float>> classKdTreeFLANN:publicpcl::KdTree<PointT> { public: usingKdTree<PointT>::input_; usingKdTree<PointT>::indices_; usingKdTree<PointT>::epsilon_; usingKdTree<PointT>::sorted_; ...
百度试题 结果1 题目使用FLANNKDTREE 算法进行特征点匹配。相关知识点: 试题来源: 解析反馈 收藏
最近看了一下PCL中的KDTree的实现方法,发现PCL中的KDTree算法是采用FLANN库实现的。于是乎去看了flann中的实现方法,整个实现的思想还是比较简单的,但是FLANN里为了通用性,兼容不同的临近搜索算法,用了很多的模板,这在代码的阅读中很难进行跳转。于是写个东西记录一下这个阅读的过程吧。 我们主要关注和FLANN中和PCL中...
template <typename PointT, typename Dist = flann::L2_Simple<float> > class KdTreeFLANN : public pcl::KdTree<PointT> { public: using KdTree<PointT>::input_; using KdTree<PointT>::indices_; using KdTree<PointT>::epsilon_; using KdTree<PointT>::sorted_; using KdTree<PointT>::poin...