Creating Object Photogrammetry

Introduction Of Creating Object Photogrammetry

Creating Object Photogrammetry is the process of creating accurate 3D models of real-world objects using a series of overlapping photographs. These images are processed using photogrammetry software to reconstruct the geometry and textures of the object. This technique is widely used in industries like gaming, VFX, cultural heritage preservation, architecture, and product design.

Getting Started with a Mobile Scan using Polycam

To begin experimenting with photogrammetry, I used Polycam, a mobile-based 3D scanning app, to capture a David sculpture replica located at a friend’s place. Polycam proved to be a fast and effective tool for quick scans, providing instant feedback and generating a usable 3D mesh directly on the phone. The app is especially helpful for testing whether a particular object is suitable for full photogrammetric reconstruction.

While the initial scan looked promising, the Polycam model included background elements and some rough geometry that needed refinement. Like most mobile-based scanning tools, Polycam’s outputs typically require post-processing in a dedicated 3D software like Blender, Maya, or 3ds Max to clean up the mesh, remove noise, and isolate the object.

MODEL OF DAVID

Importance of Proper Lighting in Photogrammetry

Before capturing images for a high-resolution photogrammetry workflow, it is crucial to set up the right lighting conditions. Using diffuse lighting is essential, as it minimizes shadows and specular highlights that can distort the surface detail. Harsh lighting can create inconsistent shadows and bright spots, which may confuse the photogrammetry software and result in inaccurate surface reconstruction or unexpected geometry artifacts. Ideal lighting includes overcast daylight, or indoor setups with softboxes or bounced light to ensure even illumination across the object’s surface.

High-Resolution Photogrammetry Using Meshroom

MODEL OF PISA

After the initial test with Polycam, I proceeded to perform a detailed photogrammetry capture using a series of high-resolution photos and processed them through Meshroom, an open-source photogrammetry software powered by AliceVision. The David model was an excellent subject due to its textured surface and complex geometry, which allowed the software to identify feature points effectively.

I took a comprehensive set of overlapping images—ensuring about 70% overlap—from multiple angles and distances, capturing the top, middle, and lower sections of the model. The images were taken with a mobile phone, using consistent focus and lighting, and no filters or compression were applied before importing them into Meshroom.

The Meshroom pipeline, which includes feature extraction, structure-from-motion, depth mapping, meshing, and texturing, was run using the default settings. The process successfully produced a highly detailed 3D mesh, capturing fine details of the sculpture with good texture alignment. Some minor imperfections appeared in occluded or low-light areas, but overall the result was accurate and clean.

Post-Processing and Cleanup

Regardless of whether a model is created using Polycam or Meshroom, post-processing is often necessary to make the asset usable in production environments. This includes:

  • Removing excess geometry or background noise

  • Retopologizing the mesh for animation or optimization

  • Baking textures or normal maps

  • Exporting to formats such as .obj, .fbx, or .glb

Popular software tools for this stage include Blender (free), Autodesk Maya, 3ds Max, and ZBrush for detailed sculpting and refinements.

MODEL OF BUDDHA

Conclusion: Combining Fast Scans with Professional Results

This workflow—from a quick scan using Polycam to a high-resolution model created with Meshroom—demonstrated a practical and effective approach to object photogrammetry. Polycam is ideal for rapid prototyping and feasibility checks, while Meshroom provides full control and detail when higher fidelity is required. By understanding the importance of image quality, diffuse lighting, and post-processing, even mobile phone users can achieve professional-grade 3D models for various applications.