实现有效的三维场景理解(3D scene understanding)是计算机视觉和人工智能领域的关键问题之一。三维点云是最重要的三维数据表达方式之一，近年来，针对三维点云理解的研究取得了显著的进展。

从技术角度看，SLAM、三维重建、机器人感知等领域，点云都是最简单且最普遍的表达方式：相对于图像，点云有其不可替代的优势-深度，也就是说三维点云直接提供了三维空间的数据，而图像则需要通过透视几何来反推三维数据。
从应用角度看，上至无人驾驶中的激光雷达，下至微软Kinect、iPhone FaceID以及各种各样的AR/VR应用，都需要基于点云的数据处理，比如物体检测、人脸识别、人体姿态估算等。

深蓝学院发起了“点云系列公开课”活动，邀请点云领域知名的华人学者/工程师做直播分享。

01期：点云上的卷积神经网络及其部分应用

嘉宾：李伏欣，俄勒冈州立大学助理教授，中科院自动化所博士

背景：Convolutional Neural Networks (CNNs) have led to a revolution in the recognition of raster images. However, many data, especially 3D data, come naturally in the form of point clouds where raster-based convolution operations are not readily available to be used. In this tutorial we will discuss several recent work that make it possible to build a convolutional network or similar operations on point clouds.

02期：基于点云场景的三维物体检测算法及应用

嘉宾：史少帅，香港中文大学多媒体实验室博士生，在点云三维物体检测的若干工作，两次在KITTI数据集三维物体检测排行榜上第一，并开源代码PointRCNN。

背景：3D object detection has been receiving increasing attention from both industry and academia thanks to its wide applications in various fields such as autonomous driving and robotics. In this tutorial we will first introduce the basic concepts of 3D object detection from point clouds, and then we will focus on three recent works to learn various deep learning methods about point-cloud-based 3D object detection.

03期：基于三维点云场景的语义及实例分割

嘉宾：杨波/胡庆拥：牛津大学计算机系在读博士，研究方向为计算机视觉与深度学习，专注于三维场景理解、三维重建、三维点云处理，在CV/ML等领域的顶级会议及期刊(CVPRNeurIPSTPAMIIJCV)发表多篇论文。

背景：Point cloud learning has lately attracted increasing attention due to its wide applications in many areas, such as autonomous driving, virtual reality, and robotics. In this tutorial, we will first give a brief introduction to the task of point cloud segmentation, as well as several milestones works in this area. Then, we will focus on two recent works from our group, including RandLA-Net, which is an efficient and lightweight neural architecture to directly infer per-point semantics for large-scale point clouds, and 3D-BoNet, which is a novel, conceptually simple and general framework for instance segmentation on 3D point clouds.

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深蓝学院（https://www.shenlanxueyuan.com/）是专注于人工智能的在线教育平台，致力于构建前沿科技课程培养体系的业界标准，涵盖人工智能基础、机器学习、计算机视觉、自然语言处理、智能机器人等领域。