- 综合排序
- 最热优先
- 最新优先
- 来自专栏壹种念头
Unity通用渲染管线（URP）系列（八）——复杂的贴图（Masks, Details, and Normals）
这是有关创建自定义可编程渲染管道的系列教程的第八部分。通过增加对遮罩，细节和法线贴图的支持，可以创建复杂的表面。
5.5K40发布于 2020-12-24 [python][pcl]python-pcl案例之圆柱模型分割(Cylinder model segmentation)
>::Ptr cloud_filtered2 (new pcl::PointCloud<PointT>); # pcl::PointCloud<pcl::Normal>::Ptr cloud_normals2 ') # Estimate point normals # ne.setSearchMethod (tree); # ne.setInputCloud (cloud_filtered (ksearch=50) seg = cloud_filtered.make_segmenter_normals(ksearch=50) seg.set_optimize_coefficients (true); # extract_normals.setInputCloud (cloud_normals); # extract_normals.setIndices (inliers_plane ); # extract_normals.filter (*cloud_normals2); # cloud_normals2 = cloud_normals.extract(inliers_plane
26400编辑于 2025-07-20- 来自专栏点云PCL
PCL法线估计
PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>); //创建法线的对象 pcl::PointCloud<pcl::Normal>::Ptr normals boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("Normals 设置计算法线的区域 normalEstimation.setNormalSmoothingSize(10.0f); // 计算 normalEstimation.compute(*normals boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("Normals , 20, 0.03, "normals"); while (!
2.4K30发布于 2019-07-31 - 来自专栏个人编程笔记
vsg-使用 Phong 光照渲染管线
(), mesh->vertices.data(), mesh->vertices.size() * sizeof(float));//法向量vsg::ref_ptr<vsg::vec3Array> normals mesh->normals.empty()) {size_t numNormals = mesh->normals.size() / 3;normals = vsg::vec3Array::create (numNormals);std::memcpy(normals->data(), mesh->normals.data(), mesh->normals.size() * sizeof(float)) graphicsPipelineConfig->assignArray(vertexArrays, "vsg_Vertex", VK_VERTEX_INPUT_RATE_VERTEX, vertices);if (normals ) {graphicsPipelineConfig->assignArray(vertexArrays, "vsg_Normal", VK_VERTEX_INPUT_RATE_VERTEX, normals
16800编辑于 2025-12-09 - 来自专栏3D视觉从入门到精通
3Ｄ点云配准（二多幅点云配准）
); //下面分别估计源和目标点云法线 pcl::copyPointCloud (*src, *points_with_normals_src); norm_est.setInputCloud (tgt); norm_est.compute (*points_with_normals_tgt); pcl::copyPointCloud (*tgt, *points_with_normals_tgt ); //设置源点云 reg.setInputTarget (points_with_normals_tgt); //设置目标点云 // //在一个循环中运行相同的最优化并且使结果可视化 \n", i); //为了可视化的目的保存点云 points_with_normals_src = reg_result; reg.setInputCloud (points_with_normals_src , points_with_normals_src); } // //一旦找到最优的变换，ICP返回的变换是从源点云到目标点云的变换矩阵，我们求逆变换得到从目标点云到源点云的变换矩阵
2.5K10发布于 2020-12-11 - 来自专栏点云PCL
PCL点云曲面重建（1）
(new pcl::search::KdTree<pcl::PointXYZ>); // Output has the PointNormal type in order to store the normals ); ////估计法线存储到其中 //* normals should not contain the point normals + surface curvatures // Concatenate <pcl::PointNormal>); pcl::concatenateFields (*cloud, *normals, *cloud_with_normals); //连接字段 //* cloud_with_normals = cloud + normals //定义搜索树对象 pcl::search::KdTree<pcl::PointNormal>::Ptr tree2 (new pcl::search::KdTree<pcl::PointNormal>); tree2->setInputCloud (cloud_with_normals); //点云构建搜索树 /
2.3K10发布于 2019-07-31 - 来自专栏点云PCL
Open3d学习计划（4)网格
可视化网格 print("Try to render a mesh with normals (exist: " + str(mesh.has_vertex_normals()) + " >>>>Try to render a mesh with normals (exist: True) and colors (exist: False) ? print("Computing normal and rendering it.") mesh.compute_vertex_normals() print(np.asarray(mesh.triangle_normals 裁剪网格 通过直接操作网格的triangle和triangle_normals字段，我们删除了一半的数据。这是通过numpy完成的。 = o3d.utility.Vector3dVector( np.asarray(mesh1.triangle_normals)[:len(mesh1.triangle_normals) //
3.8K41发布于 2020-06-28 - 来自专栏大闲人柴毛毛
JavaFX文档翻译——TriangleMesh篇
consists of its associated VertexFormat and a set of separate arrays of vertex components such as points, normals The term normals (plural) is used to indicate sets of 3D vectors for multiple vertices. Lastly, the term face is used to indicate 3 set of interleaving points, normals (optional, depending The length of points, normals, and texCoords must be divisible by 3, 3, and 2 respectively. array (0 to normals.length / 3 - 1) for the normal indices, and within the range of the number of the
2.8K80发布于 2018-03-09 - 来自专栏CreateAMind
图像结构样式分开生成的生成模型论文代码
We train a Structure-GAN using the ground truth surface normals from Kinect. Because the perspective distortion of texture is more directly related to normals than to depth, we use We learn in parallel our Style-GAN which is conditional on the ground truth surface normals. from sampled zˆ and (ii) Style-GAN - this model generates the images taking as input the surface normals We train both models with RGBD data, and the ground truth surface normals are obtained from the depth
91720发布于 2018-07-25 - 来自专栏点云PCL
PCLVisualizer可视化类
, 10, 0.05, "normals"); viewer->addCoordinateSystem (1.0); viewer->initCameraParameters (); return , 10, 0.05, "normals1", v1); viewer->addPointCloudNormals<pcl::PointXYZRGB, pcl::Normal> (cloud, normals2 = true; std::cout << "Normals visualisation example\n"; } else if (pcl::console::find_argument (new pcl::PointCloud<pcl::Normal>); ne.setRadiusSearch (0.05); ne.compute (*cloud_normals1); pcl ::PointCloud<pcl::Normal>::Ptr cloud_normals2 (new pcl::PointCloud<pcl::Normal>); ne.setRadiusSearch
2.2K30发布于 2019-07-31 - 来自专栏点云PCL
PCL点云分割（1）
文件读取对象 pcl::ExtractIndices<PointT> extract; //点提取对象 pcl::ExtractIndices<pcl::Normal> extract_normals PointT>::Ptr cloud_filtered (new pcl::PointCloud<PointT>); pcl::PointCloud<pcl::Normal>::Ptr cloud_normals seg.setDistanceThreshold (0.03); seg.setInputCloud (cloud_filtered); seg.setInputNormals (cloud_normals (true); extract_normals.setInputCloud (cloud_normals); extract_normals.setIndices (inliers_plane); extract_normals.filter (*cloud_normals2); // Create the segmentation object for cylinder segmentation
4.4K41发布于 2019-07-31 - 来自专栏音视频技术学习笔记
19.opengl高级-高级数据
float positions[] = { ... }; float normals[] = { ... }; float tex[] = { ... }; // 填充缓冲 glBufferSubData GL_ARRAY_BUFFER, 0, sizeof(positions), &positions); glBufferSubData(GL_ARRAY_BUFFER, sizeof(positions), sizeof(normals ), &normals); glBufferSubData(GL_ARRAY_BUFFER, sizeof(positions) + sizeof(normals), sizeof(tex), &tex
61520发布于 2020-07-14 - 来自专栏音视频技术学习笔记
opengl-球体的绘制
vec3(xPos, yPos, zPos)); uv.push_back(glm::vec2(xSegment, ySegment)); normals.push_back std::vector<glm::vec3> positions; std::vector<glm::vec2> uv; std::vector<glm::vec3> normals vec3(xPos, yPos, zPos)); uv.push_back(glm::vec2(xSegment, ySegment)); normals.push_back () > 0) { data.push_back(normals[i].x); data.push_back(normals [i].y); data.push_back(normals[i].z); } } glBindVertexArray
4.4K10发布于 2020-08-26 - 来自专栏代码编写世界
Unity3D学习笔记2——绘制一个带纹理的面
), new Vector2(0, 1), new Vector2(1, 0), new Vector2(1, 1), }; mesh.uv = uv; Vector3[] normals 0, 0, -1), new Vector3(0, 0, -1), new Vector3(0, 0, -1), new Vector3(0, 0, -1), }; mesh.normals = normals; //mesh.RecalculateNormals(); int[] triangles = new int[6] { 0, 1, 2, 1, 3, 2 }; mesh.triangles -1), new Vector3(0, 0, -1), new Vector3(0, 0, -1), }; mesh.normals = normals; //mesh.RecalculateNormals(); int[] triangles = new int[6] { 0, 1, 2, 1,
1.5K40发布于 2021-07-13 - 来自专栏Creator星球游戏开发社区
3D 小姐姐模型是怎么“捏”成的？ 初识 Mesh 知识点！
3.x 中几何体信息数据结构，了解一下，一个普通的 Mesh 中到底有哪些数据： export interface IGeometry { positions: number[]; normals 法线 normals 法线：它是一个向量，和 UV 一样，它都属于顶点的属性。它的数量和 UV 一样都是与顶点一一对应的。 : normals, }); 4. : normals, indices: indices, }); 5.minPos,maxPos minPos、maxPos 字面意思就是最大点和最小点，那么什么是最大点和最小点呢？ 我们我可拿到场景中网格的基本数据 let positions = mesh.readAttribute(0, gfx.AttributeName.ATTR_POSITION); let normals
1.8K31编辑于 2023-02-23 - 来自专栏小明的数据分析笔记本
R语言ggplot2做双Y轴的一个简单小例子
start = "2020-09-18", end = "2020-09-28") # Download daily climate normals df_normal <- normals_dl(climate_ids = 5010480) %>% unnest(normals) %>% filter(period ! , x = as_date("2020-03-15"), y = 25, label = "1981-2010 Climate Normals , x = as_date("2020-03-15"), y = 25, label = "1981-2010 Climate Normals
5.2K30发布于 2021-11-23 [python][pcl]python-pcl案例之基于多项式重构的平滑和正态估计重采样
# tree = blankCloud.make_kdtree() # // Output has the PointNormal type in order to store the normals mls_points; # mls_points = pcl.PointCloudNormal() # // Init object (second point type is for the normals mls = cloud.make_moving_least_squares() # print('make_moving_least_squares') mls.set_Compute_Normals
14910编辑于 2025-07-20- 来自专栏量化投资与机器学习
Python王牌加速库：奇异期权定价的利器
S0; for(unsigned n = 0; n < N_STEPS; n++){ s_curr += tmp1 * s_curr + sigma*s_curr*tmp3*d_normals CHECKCURAND(curandSetPseudoRandomGeneratorSeed(curandGenerator, 1234ULL)) ; const size_t N_NORMALS = (size_t)N_STEPS * N_PATHS; float *d_normals; checkCudaErrors(cudaMalloc(&d_normals, N_NORMALS * sizeof(float))); CHECKCURAND(curandGenerateNormal(curandGenerator, d_normals, N_NORMALS, 0.0f, @cuda.jit def numba_gpu_barrier_option(d_s, T, K, B, S0, sigma, mu, r, d_normals, N_STEPS, N_PATHS):
3.1K30发布于 2020-04-24 - 来自专栏点云PCL
PCL点云配准（1）
); pcl::copyPointCloud (*src, *points_with_normals_src); norm_est.setInputCloud (tgt); norm_est.compute (*points_with_normals_tgt); pcl::copyPointCloud (*tgt, *points_with_normals_tgt); // MyPointRepresentation ); // 设置源点云 reg.setInputTarget (points_with_normals_tgt); // 设置目标点云 // Run the same optimization \n", i); // 存储点云以便可视化 points_with_normals_src = reg_result; // Estimate reg.setInputSource , points_with_normals_src); } // Get the transformation from target to source targetToSource =
2.8K20发布于 2019-07-31 - 来自专栏点云PCL
PCL点云特征描述与提取（1）
KdTree<pcl::PointXYZ> ()); ne.setSearchMethod (tree);//存储输出数据 pcl::PointCloud<pcl::Normal>::Ptr cloud_normals PointCloud<pcl::Normal>);//使用半径在查询点周围3厘米范围内的所有临近元素 ne.setRadiusSearch (0.03); //计算特征值 ne.compute (*cloud_normals );// cloud_normals->points.size ()应该与input cloud_downsampled->points.size ()有相同的尺寸//可视化 pcl::visualization viewer.setBackgroundColor (0.0, 0.0, 0.0); viewer.addPointCloudNormals<pcl::PointXYZ,pcl::Normal>(cloud, cloud_normals table_scene_mug_stereo_textured.pcd", *cloud); //创建法线估计向量 pcl::PointCloud<pcl::Normal>::Ptr normals
3.5K30发布于 2019-07-31
腾讯云开发者
Copyright © 2013 - 2026 Tencent Cloud. All Rights Reserved. 腾讯云 版权所有
深圳市腾讯计算机系统有限公司 ICP备案/许可证号：粤B2-20090059 
粤公网安备44030502008569号
腾讯云计算（北京）有限责任公司 京ICP证150476号 | 京ICP备11018762号