Converting Real-World Objects to 3D Models

In my exploration of transforming real-world environments into simulations for Extended Reality (XR), I've identified a series of steps that can facilitate the creation of 3D models. Here are the steps that i followed to achive it : Requirements - A mobile device (though a DSLR camera is preferable for higher quality) - A depth camera (optional, but beneficial for capturing depth information) Step 1: Data Collection The initial challenge lies in data collection. To ensure the best results: - Position the object in a well-lit setting to avoid harsh shadows. - Capture images from various angles without limiting the number of photos. Use the following camera settings for optimal captures: - ISO Settings: Keep it at 100 for minimal noise; avoid exceeding 800. - Aperture: Maintain between f/9 and f/13 to ensure sufficient depth. - Shutter Speed: Set to 1/200 or faster to minimize motion blur. - White Balance: Set a fixed color temperature. - File Type: Use JPG for convenience, or RAW/TIFF.. - Focus: Utilize autofocus for ease and consistency. - Flash: Keep it off to prevent unnatural lighting. Step 2: Image Editing Refine the captured images by: - Cropping to highlight the object. - Enhancing highlights and sharpness to accentuate details. - Adjusting contrast and brightness for clarity. - Ensure the edges and features are distinct for the next step. Step 3: Photogrammetry Process Use Reality Capture, a tool that's free until the point of export, for the photogrammetry process. Import the edited images from Step 2 and start the photogrammetry. Step 4: Model Refinement In the tool, make necessary adjustments to: - Align images correctly. - Register photos for accurate positioning. - Determine the level of mesh generation for model detail. - Apply texturing and coloring for realism. Step 5: Exporting the 3D Model The final 3D model is now ready to be exported to simulation engines like Unity or Unreal Engine for use in XR applications.
1 Reply
techielew
techielew10mo ago
Great rundown, @Yash Naidu
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