Course Fee: $300
Format: 2 Days (4 Hours per Day / 8 Hours Total)
Capstone: Build an interactive, asset-linked Virtual Museum from scratch
Course Overview
Indoor spaces are notoriously indifferent to GPS, making mapping an exercise in deliberate observation, proper hardware handling, and methodical data hygiene. This intensive, eight-hour workshop walks through the entire pipeline: capturing spaces with consumer and professional 360 cameras and small aircraft, batch-processing raw imagery, extracting 2D/3D building geometry, capturing discrete 3D objects, and assembling a dynamic, searchable virtual environment.
A Capstone Build is the final, end-to-end practical project where students assemble every technique taught across the two days into a single, functional deliverable. By the end of Day 2, participants will take an unorganized raw dataset and turn it into a complete, navigable virtual museum populated with interactive 3D assets, metadata, and spatial drawings.
Day 1: Field Capture, Image Processing & Geometry Extraction
(4 Hours)
Module 1: Hardware Selection & Capture Mechanics (60 min)
- The Hardware Roster: Practical trade-offs between dedicated 360 rigs, 1-inch sensor cameras, bracketed HDR rigs, and lightweight DJI aircraft for high-clearance interior spaces.
- Camera Rigging & Stability: Monopod discipline, counterweights, anti-gravity and stabilized walk-through techniques, and eliminating tripod footprint artifacts in the nadir.
- Exposure & Lighting Strategy: Managing interior lighting shifts, blown-out window exposures, and multi-exposure HDR capture workflows in confined spaces.
- Capture Geometry: Planning overlap, nodal spacing, line-of-sight continuity, and spatial pathing to ensure clean alignment downstream.
Module 2: Ingestion, Batch Processing & Image Tuning (60 min)
- Raw Image Pipeline: Ingesting multi-bracket spherical photos and 360 video streams.
- Batch Editing Workflows: Setting up automated correction templates for chromatic aberration, white balance normalisation, and exposure flattening across hundreds of panoramas.
- Stitching & Alignment Quality Control: Correcting parallax errors, yaw/pitch levelling, and stitching seam blending before moving into spatial engines.
15-Minute Break
Module 3: Extracting Building Geometry & Point Data (60 min)
- From Spheres to Structure: Converting 360 photo paths into spatial point clouds and rough depth maps.
- Point Cloud Cleanup in CloudCompare: Segmenting noise, subsampling massive point sets, leveling coordinate systems, and extracting clean floor/wall slices.
- Linework & Drafting in Rhino: Importing sliced point clouds and ortho-projections to extract accurate 2D floor plans, wall boundaries, and architectural reference drawings.
Module 4: Dynamic Wayfinding & Floor Plan Integration (45 min)
- Structuring Indoor Spaces: Importing architectural drawings and vectorised linework into Mappedin.
- Nodes, Pathing, and Zones: Defining walkable paths, vertical transitions (stairs, elevators), and spatial zones for real-time indoor wayfinding.
- Geo-referencing & Scale Calibration: Aligning local floor plans with coordinate systems for consistent real-world scale.
Day 2: Object Capture, Dynamic Mapping & Capstone Build
(4 Hours)
Module 5: Spatial Asset Management & Findability (45 min)
- Asset Taxonomy & Metadata: Designing a structured naming and tagging schema for indoor assets (exhibits, mechanical gear, room fixtures).
- Searchability & Wayfinding Links: Attaching searchable metadata, condition reports, and external database links directly to indoor map coordinates.
- Layer Control: Managing multi-tier views (public visitor interface vs. facility management/operations layers).
Module 6: Object Capture Essentials & Cloud Hosting (60 min)
- Introduction to 3D Object Photogrammetry: Field capture rules for individual artefacts, turntable basics, cross-polarisation concepts, and coverage geometry (bridging into the Advanced Photogrammetry Masterclass).
- Large Asset Handling in Nira: Uploading high-density 3D photogrammetry meshes and CAD models without crippling browser performance.
- Spatial Anchors & Annotations: Embedding photorealistic 3D scans within virtual walk-through nodes, complete with dimensional measurements and visual callouts.
15-Minute Break
Module 7: Capstone Project — The Virtual Museum (90 min)
Participants receive a raw dataset of a multi-gallery museum space and execute the full build from zero to deployment:
- Batch Clean & Stitch: Process the raw 360 capture nodes.
- Floor Plan Alignment: Import and calibrate gallery linework in Mappedin.
- Artefact Integration: Ingest and anchor 3D artefact models into the virtual galleries via Nira and spatial viewer tools.
- Interactive Layering: Link museum catalogue data, audio/text blurbs, and wayfinding routes between exhibits.
- Publish & Test: Conduct a walkthrough to verify scale, line-of-sight transitions, and search query responsiveness.
Module 8: Review, Q&A & Pipeline Troubleshooting (20 min)
- Common field failures (reflective glass, featureless corridors, lighting blowouts) and how to recover in post.
- Export pipelines for AEC, digital twins, and public-facing interactive web embeds.
- Next steps: Deep dive into micro-accuracy, sub-millimetre metrology, and multispectral analysis in the Advanced Photogrammetry course.
Required Toolset & Prerequisites
Hardware Covered: 360 Panoramic Cameras (Insta360 / Ricoh / 1-Inch sensors), Tripods/Monopods/ masts, DJI Mini/Air series for high-ceiling interiors
Drafting & Geometry: Rhino 3D, CloudCompare.
Indoor Mapping & Cloud 3D: Mappedin, Nira.
Image & Stitching Utilities: Capture one/ Adobe Lightroom / Photoshop (or RawTherapee / Darktable), PTGui / OEM Stitchers.
Prerequisites: Basic familiarity with 2D/3D file formats (.obj, .las/.e57, .dwg/.dxf, .jpg/.exr). No coding required.
Learning Deliverables
- Complete end-to-end SOP checklist for indoor reality capture.
- Pre-configured batch image-processing presets.
- CloudCompare point-cloud slicing templates.
- A live, fully interactive Virtual Museum project ready for portfolio demonstration.