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Production 2024-01-15

Netflix Original [Squid Game] LiDAR Scan

Precise digital restoration of complex sets, 75mm Studio's LiDAR solution

Written by 75mm Studio

75mm Studio conducted 3D scanning of the set during the production of Squid Game.

01. Prerequisites for Precise Matchmove

Precise Matchmove work was essential due to issues regarding set extensions in some scenes. For precise matchmove work involving multiple scenes in one space, LiDAR scanning is essential.

02. Why LiDAR?

The set of Squid Game had a very complex composition, and the surface patterns were insufficient, making it difficult to obtain high-quality 3D data with general Photogrammetry techniques. Therefore, it was a situation where LiDAR equipment had to be utilized to acquire accurate scan data.

LiDAR Scanning Animation

03. Data Optimization Process

The amount of Cloud Point obtained through LIDAR scanning is quite massive. Therefore, to make it usable in practice, it goes through the following process:

  1. Meshing: Converting point data into polygon meshes
  2. Optimization: Lightweighting massive meshes so operators can handle them in DCC tools (Maya, Max, etc.)

LiDAR Scan Data Acquired On Site

Wireframe 1
Shader 1
Wireframe 2
Shader 2
Overview

Technical Details & FAQ

What is LiDAR scanning and how is it used in VFX?
LiDAR (Light Detection and Ranging) is an ultra-precise 3D scanning technology that uses laser pulses to measure spatial distances. In modern VFX pipelines, precise geometry data acquired through LiDAR ensures that computer-generated CGI environments match physical movie sets with zero margin of error. This maximizes the accuracy of camera matchmoving and virtual set extensions, drastically reducing post-production turnaround times.
How does 75mm Studio process massive Point Cloud data?
Raw point cloud data acquired on-site consists of billions of points, making it too heavy for standard DCC software like Maya or Unreal Engine. We run the raw data through an advanced proprietary processing pipeline that involves point registration, aggressive noise reduction, and topological lightweighting. Ultimately, the dense point cloud is converted via meshing and retopology into an optimized, highly manageable polygonal asset.
What is the primary difference between Photogrammetry and LiDAR?
While LiDAR structural scanning focuses on calculating exact physical dimensions with millimeter accuracy (the 'skeleton'), Photogrammetry focuses strictly on generating photorealistic visual textures (the 'skin'). At 75mm Studio, we employ a hybrid workflow combining the undeniable millimeter-accuracy of laser scanning with the hyper-realistic optical fidelity of photogrammetry.
Why is 3D Gaussian Splatting revolutionary for spatial archiving?
3D Gaussian Splatting is a breakthrough AI-based neural rendering technique that bypasses the limitations of traditional polygonal rendering. It easily captures incredibly complex micro-details such as translucent objects, fine foliage, and specularity. Moreover, it achieves this extreme photorealism while maintaining real-time 60fps render performance, even directly within a web browser, making it the ultimate game-changer for digital twin distribution.

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