RealityScan Mobile vs Depth Camera RAW

Capture the world with RealityScan Mobile, a free to download 3D scanning app with AR guidance. Create realistic 3D models with your iPhone or iPad and upload them directly to Sketchfab. 3D scan objects easily—wherever you are - No special hardware! Scan with just your phone. - Preview portrayal in colors to reflect photo coverage of the model for quality check. - Easily select objects for export with the crop box. - Enhanced Project Library for storing and managing your projects - Upload to Sketchfab, the ultimate platform for publishing, sharing, and selling 3D, VR and AR content. Use 3D scans to: - Create realistic assets for your game, project, VFX, or AR/VR experience. - Create assets for 3D visualization, 3D prints, and prototypes. - Capture and preserve your memories by 3D scanning special objects or places that have meaning to you. - RealityScan Mobile is compatible with any iPhone or iPad device which supports iOS 16.0 and higher. There is so much more to come—more integrations, more uses, more technological breakthroughs. But for now, we’d love any and all feedback. And if you create something fun, share it using #realityscan. We’ll be highlighting our favorite finds on all of our channels. Website: https://www.realityscan.com/mobile Privacy Policy: https://www.epicgames.com/site/privacypolicy

This iOS app is designed for professional users who need to capture full-resolution depth maps using the LiDAR scanner on their iPhone or iPad. It addresses the issue of depth maps being scaled down to 8-bit when using the standard iOS libraries, allowing you to capture and save depth maps with their original precision. The LiDAR scanner on supported iPhone and iPad models provides depth information for each pixel in the captured image. However, when using the standard iOS libraries, this depth information is typically scaled down to 8-bit, losing much of the original precision. This app bypasses that limitation by directly accessing the depth data from the LiDAR scanner and saving it as a 32-bit floating-point TIFF image. Each pixel in the resulting TIFF image contains a floating-point value representing the distance from the camera to that point in the scene, in meters. For example, if a point in the scene is 5 meters away from the camera, the corresponding pixel value in the TIFF image will be 5.0. Similarly, if a point is 30 centimeters away, the pixel value will be 0.3.