Tag: Reality Capture

Point Cloud to TIN: Mach9 Adds Surface Workflows

Point cloud to TIN workflows are essential for transforming lidar…

August 5, 2026

Indian Historic Preservation Supported by 3D

Indian heritage preservation is evolving rapidly as geospatial technologies transform…

August 4, 2026

Autonomous Navigation Lidar for ESA Moon Mission

Editor’s Note: Autonomous navigation lidar is enabling machines to understand…

July 28, 2026

Reality Capture Workflows Reimagined with Mach9

Reality capture workflows have changed dramatically over the past decade.…

July 27, 2026

Lidar Reveals Silk Road City in Uzbekistan

Using high-resolution drone-based lidar, researchers uncovered the layout of a…

July 24, 2026
The latest version of the Reality Capture Game, with clear setup positions and links between them representing cloud-to-cloud registration

Reality Capture Game Teaches Lidar Scanning Trade-offs

I built a free browser game called Reality Capture Game,…

July 22, 2026

Lidar Tracks California Landslides

Editor’s Note: Lidar is helping researchers better understand landslides along…

July 21, 2026

FAA EASA BVLOS Keynote for Commercial UAV Expo

Commercial UAV Expo Announces Second Keynote: Two Skies, One Conversation…

July 20, 2026

Glacier Mapping Unlocks New Tools for Surveyors

Glacier mapping often begins where conventional field surveys reach their…

July 14, 2026

Drowning in Data, but Starving for Maps in the Deep Blue Sea

How Crowdsourced Bathymetry is Staying Afloat For decades, the deepest…

July 13, 2026

Gold Rush Mapping Reveals Relics and Dangers

Advanced airborne lidar is transforming gold rush mapping in Victoria,…

July 13, 2026

CyArk America 250 Tapestry Collection

CyArk has launched the America 250 Tapestry Collection, a digital…

July 7, 2026

Preserving an Icon: Liberty Bell Digital Twin

The Liberty Bell Digital Twin Project recently created the first…

July 2, 2026
The four stages of 3D Gaussian Splatting reconstruction, visualised as a single progression. A sparse point cloud provides the initial spatial skeleton (left); large overlapping Gaussian primitives are seeded from those points and begin to occupy volume (second); the optimiser densifies and refines those primitives, packing them tighter as the form converges (third); finally, alpha-compositing from the correct viewpoint produces a photorealistic render with no visible primitives remaining (right). The primitives never disappear, they simply become coherent. This is not a surface mesh, not a voxel grid, not a neural network at render time. It is millions of learned ellipsoids, each carrying position, shape, rotation, colour and opacity, composited in depth order at real-time frame rates. Image: Mike Devers / Cr8ive Media

Gaussian Splatting and LiDAR: A Practitioner’s Field Guide

3D Gaussian Splatting (3DGS) is one of the most talked-about…

June 23, 2026
New Coherent Lidar Expands What 3D Sensing Can See

New Coherent Lidar Expands What 3D Sensing Can See

A new lidar system developed by researchers at the University…

June 23, 2026

500-Year-Old Football Gets a Digital Twin

3D specialists at the University of Glasgow have initiated a…

June 22, 2026

World Cup Technology: Digital Twins and Smart Balls

FIFA’s latest World Cup technology combines high-resolution 3D body scans,…

June 15, 2026

New Zealand Launches National Coastal Lidar Dataset

The Challenge of Coastal Geospatial Data For all the advances…

June 15, 2026

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