Mosteiro Guaramiranga

Table of Contents

1. Overview
2. Role
3. Problem
4. Goal
5. Solution
   • Capture Process
   • Optimization Techniques
   • Final Delivery
6. Challenges and Learnings
7. Final Thoughts

Overview

The Mosteiro Guaramiranga project utilized drone photogrammetry to capture detailed, high-resolution images for the creation of optimized 3D models. These models were specifically tailored for mobile visualization and practical use.

👨‍💻 Role

Lead 3D Artist & Technical Specialist

❓ Problem

1. High-resolution 3D models initially had excessive polygon counts, making them impractical for mobile visualization.
2. Need for maintaining visual quality while significantly reducing the complexity of the models.

🎯 Goal

1. Efficiently capture and generate high-quality photogrammetric models.
2. Optimize 3D models for performance on mobile devices without significant loss in detail.

✨ Solution

Capture Process

• Utilized drones for capturing extensive high-resolution images from multiple angles.
• Generated detailed initial models using Agisoft Metashape.

Optimization Techniques

• Implemented texture baking to preserve visual details with reduced geometry.
• Used triangle decimation, reducing polygon count from approximately 20 million to around 800,000.

Final Delivery

• Published optimized models on Sketchfab for easy accessibility and interactive exploration.
• Ensured mobile-friendly visualization through rigorous testing and adjustments.

⚙️ Challenges and Learnings

• Balancing between model detail and performance required multiple optimization iterations.
• Texture baking significantly contributed to maintaining visual fidelity while drastically reducing polygons.
• Learned to effectively manage and process large-scale datasets efficiently.

✨ Final Thoughts

• The careful optimization significantly improved performance, making detailed photogrammetry viable on mobile platforms.
• Future projects can benefit greatly from optimized workflows established during this project.