Creating a 3D model of an object using photos taken from different angles is now a technology accessible to both professional and amateur users. This process is carried out using "photogrammetry" or AI-supported 3D reconstruction techniques. In this article, we explain in detail the best methods, software, and tips that can be used to create a 3D model from photos of an object taken from different angles.
3D Modeling Process with Stages
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Photo Shooting
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Should be taken in constant light, with a plain background
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It is recommended to take 20–100+ photos by rotating 360 degrees around the object
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Each photo should overlap the previous one by 30–60%
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Preparing the Photos
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Images should be in .JPG or .PNG format
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Operations such as color correction and unnecessary area cropping increase the quality of the model
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Transfer to 3D Modeling Software
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The selected software detects matching points between these photos and creates a mesh and texture
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️ 1. 3D Modeling with Photogrammetry Method (Traditional)
✅ Most Popular Software:
Software Name | Platform | License | Notes |
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Agisoft Metashape | Windows, macOS | Paid | Provides professional results |
RealityCapture | Windows | Paid | GPU-supported fast processing |
Meshroom (AliceVision) | Windows, Linux | Free | Open source, suitable for photogrammetry |
COLMAP | Windows, Linux | Free | Advanced for academic uses |
Usage Steps (Meshroom Example):
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Upload all photos to the software
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The software automatically starts with the "Feature Extraction" process
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Camera positions and depth are detected with the "Structure from Motion" step
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Mesh (network structure) and Texture (coating) are created
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You can export as .OBJ, .GLB or .FBX
2. AI-Supported 3D Modeling (AI-Photogrammetry)
Today, deep learning models can make high-quality 3D predictions even with just a few visuals.
✅ Best AI-Based Solutions:
Tool/Platform | Features |
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Luma AI (iOS & Web) | Extracts 3D models from video/photo with a single application |
NerfStudio | NeRF (Neural Radiance Fields) based advanced open source framework |
Polycam | Mobile application, more precise on lidar-supported devices |
KIRI Engine | Web-based, AI-based photogrammetry support |
Usage (Polycam Example):
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Download the mobile application
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Slowly walk around the object and make a video or 3D scan
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The AI engine processes the data and produces a 3D model
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Export the model as .OBJ, .GLTF or .USDZ
Which Method Should You Choose?
Criterion | Photogrammetry | AI-Based Method |
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Camera Quality | Medium–High | Medium is sufficient |
Ease of Use | Medium | High (especially on mobile) |
Processing Speed | Medium–Slow | Fast |
Quality/Control | Very High | Medium–High |
️ 3D Model Usage Areas
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Game development (Unity, Unreal Engine)
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Architectural presentations
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Virtual museums or e-commerce platforms
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3D printing applications
⚠️ Things to Consider
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Surface brightness, reflection and moving objects degrade quality
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Even a quality phone camera is sufficient instead of a DSLR, but it must be fixed focus
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Software such as Blender, ZBrush, MeshLab can be used for post-model editing
✅ Conclusion
Creating a 3D model of an object with photos taken from different angles is now very accessible for both amateur users and professionals. Thanks to open source software such as Meshroom or mobile applications such as Polycam/Luma AI, it is possible to produce realistic and usable 3D models.