Reality Capture Basic Workflow
This week we started learning how to use Reality Capture to create 3D models from photographs. The first step was to import a set of photos into the software. I learned that the photos need to have enough overlap, and the object should be captured from different angles so the software can understand its shape.
After importing the images, we used the Align Images function. This step calculates the camera positions and creates a sparse point cloud. If the alignment does not work well, it usually means there are not enough photos, the images are blurry, or the object does not have enough visible detail.
After the photos were aligned, we generated the model by using the reconstruction tools. Reality Capture then created a dense mesh based on the image data. I learned that the mesh can sometimes contain extra parts, noise, or holes, so it is important to check the result and clean the scan before exporting.
We also looked at the importance of lighting. Strong shadows, reflections, or blurry images can make the reconstruction less accurate. For better results, the object should be photographed with even lighting and from multiple directions.
Through this session, I understood the basic process of using Reality Capture: import photos, align images, build the model, check the mesh, and prepare it for export.
Model Collection
