Color/Render a 3D Pointcloud in Python

<h1>Point Clouds and Spherical Images</h1> <h2>Introduction</h2> <p>By harnessing the duality between 3D point clouds and 2D spherical colored images, we can synergize robust 3D reconstruction algorithms with powerful 2D object detection techniques.</p> <p>To simultaneously capture spherical colored images and point clouds, specialized devices such as depth sensors or LiDAR scanners are commonly equipped with spherical cameras.</p> <p>Let&rsquo;s establish a precise definition of the objects we&rsquo;re talking about:</p> <p><strong>3D point cloud</strong></p> <ul> <li>it provides a direct representation of the spatial layout of the scene</li> <li>each point is defined by its 3D spatial coordinates (x, y, z)</li> <li>additional attributes such as color, intensity, or other properties can be associated with each point</li> </ul> <p>&nbsp;</p> <p>Colored point cloud of a room &mdash;Image by the author</p> <p><strong>2D spherical image</strong></p> <ul> <li>It provides a panoramic view of the scene, capturing a wide field of view in all directions around a central viewpoint. For instance, it could be provided by two back-to-back fisheye cameras (See my previous Medium article&nbsp;Understanding 360 images )</li> <li>Each pixel is defined by its 2D coordinates (latitude &phi;, longitude &theta;) and refers to a specific viewing direction, like on the earth&rsquo;s surface.</li> </ul> <p><a href="https://betterprogramming.pub/color-render-a-3d-pointcloud-in-python-f67831442abd">Read More</a>&nbsp;</p>