文章目录
- 环境:
 - 1.1 包围盒法介绍:
 - 2.1 python代码
 - 3.1 可视化
 - 4.1 体积Calculation
 
环境:
Open3D
1.1 包围盒法介绍:
求解离散点最优包围空间
常用的凸包算法:
AABB
OOB
2.1 python代码
conda activete deeplabv3plus(环境名称–安装好open3D的)
python demo.py
import open3d as o3d
def main():
    # 读取点云数据
    pc = o3d.io.read_point_cloud("downsampled_pcd.pcd")
    # 获取点云的包围盒
    aabb_box = pc.get_axis_aligned_bounding_box()
    aabb_box.color = (1, 0, 0)
    obb_box = pc.get_oriented_bounding_box()
    obb_box.color = (0, 1, 0)
    # 计算包围盒体积
    aabb_volume = aabb_box.volume()
    obb_volume = obb_box.volume()
    print(f"aabb算法包围盒体积: {aabb_volume} ")
    print(f"obb算法包围盒体积: {obb_volume} ")
    # 可视化
    o3d.visualization.draw_geometries([aabb_box, obb_box, pc], "result", 800, 600, 50, 50, False, False, True)
if __name__ == "__main__":
    main()
 
3.1 可视化

4.1 体积Calculation




















