00 - 3D Computer Vision Introduction

🎥 Welcome to the first episode of the PardesLine series — Mastering 3D Computer Vision in Python from Scratch! In this video, we’ll introduce the key topics you’ll explore throughout the course: Understanding 3D data representation — from Euclidean to non-Euclidean structures (point clouds, meshes, and more). Exploring manifold learning to project complex data into lower dimensions. Diving into surface reconstruction, rigid and non-rigid registration. Moving on to 3D classification, segmentation, and object detection using modern deep learning architectures like PointNet and PointPillars. Overview of essential Python libraries for 3D Computer Vision. 👨‍💻 Instructor: Jonathan Tabet — Algorithm Researcher (PhD) & Deep Learning Engineer 📚 Goal: Build a solid foundation in 3D Computer Vision and understand both the how and the why behind the algorithms. 👉 Subscribe to PardesLine to follow the full series and start mastering 3D Computer Vision step by step.