The output of 3D sensors are mostly point clouds. Point clouds are 3D point sets unorderly arranged in a high-dimensional space. Annotating those point clouds with 3-dimensional bounding boxes are ...

Welcome to the "Pixel to Point Cloud" workshop repository! This project is designed to guide you through building a comprehensive 3D vision pipeline, transforming 2D images into 3D point clouds using ...

A python version of the supervoxel segmentation method for 3D point clouds. The original C++ code can be found here and here. Three supervoxel segmentation method are implemented: VCCS: The original ...

Point clouds are what 3D scanners create when an object is scanned, and to become useful, those point clouds are usually post-processed into 3D models (specifically, meshes) like an .obj or .stl file.

With the increasing demand for 3D modeling by the emerging immersive applications, the 3D point cloud has become an essential representation format for processing 3D images and video. Because of the ...