05.00 Introduction

Overview

Photogrammetry is a useful tool for capturing 3D Geometry and visual texture information from the real physical world. 3D Scanning is able to capture more detail and more accurate geometry than photogrammetry, but requires more expensive 3D scanning equipment and software. Gaussian Splatting is a method of using “splats” or gaussian “smears” to rebuild a 3D scene rather than a mesh.

Learning Objectives

• Identify differences between photogrammetry, LiDAR scanning, and structured light scanning, and gaussian splatting
• Capture an interior room or an object with photogrammetry
• Process the photogrammetric data into a 3D mesh
• Capture a 3D scan with a structured light scanner
• Process the raw data from a 3d Scan into a 3D mesh
• Clean up a 3D captured mesh in mesh modeling software
• Create a render image from 3D capture sources
• 3D print from 3D capture data

Keywords

• Photogrammetry
• LiDAR Scanning
• Structured Light Scanning
• Gaussian Splat
• Point cloud