The Model at a Glance
This 3D asset provides a digital representation of a MOTO V7 motorcycle, produced using photogrammetry techniques to capture the authentic proportions and surface characteristics of the physical bike. Unlike traditional manual modeling, this scan preserves the specific material wear and textures found on the original vehicle, offering a high degree of realism for static placements.
Technical Facts
The mesh is designed to balance visual fidelity with efficiency, making it suitable for real-time applications or background elements in larger scenes. The technical specifications include:
- Geometry: 20,000 triangles and 9,800 vertices.
- File Formats: FBX, OBJ, and native Blender files.
- Assets: Includes all necessary textures and materials.
- Capture Method: Generated via RealityCapture for surface accuracy.
How Buyers Can Use It
This photogrammetry scan is particularly effective as a static prop for urban environments, garage interiors, or architectural visualizations. Artists working in Unity or Unreal Engine can utilize the provided FBX or OBJ files to populate scenes with realistic street-side elements. Because the textures are derived from real-world data, the model serves as an excellent reference for environmental storytelling where a lived-in look is required.
A Relevant Alternative
If your project requires a different style of vehicle or a more stylized approach to bike design, you may want to compare this scan with the MotoRacer, which offers a different perspective on motorcycle assets within our vehicle category.
The technical listing also notes that the mesh is listed at 20k triangles; and 9.8k vertices; and is categorized under Cars & Vehicles.
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| ABOUT THE SELLER |
|
| SELLER-USER-NAME | Miguel Bandera |
| 3D Model formats | FBX, OBJ, BLENDER, TEXTURES, Materials |
| 3D Model details | VR / AR / Low-poly, Textures, Materials, UV Mapping, Scale transformations |
| Triangles | 20k |
| Vertices | 9.8k |
| Category | Cars & Vehicles |
| Tags | 3d-scan, blender, fbx, MOTO V7, motorcycle, photogrammetry, realitycapture, vehicle |