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Patents

Omotion is using its unique technology to open the future of next-generation metahumans.

For Photographing Volumetric Objects
a Point Cloud Matching Method Based on Multiple RGB-D Cameras

  • Photogrammetry

    Real-world 3D modeling with multiview photogrammetry using omnidirectional RGB cameras.

  • RGB-D method

    Real-time scanning based on multi-view RGB-D sensor

  • Processing on High-Speed Parallel Graphics

    Real-time scanning and processing of 3D volumetric graphics models for static and dynamic objects

  • Virtual Human Scanning

    Real-world 4D volumetric camera technology, scanning technology, and camera calibration technology

특허증

Compression system and method for 3D point cloud sequences

  • Create real-time 3D volumetric models

    Image processing and graphics technology that generates photorealistic 3D volumetric models in real time from multi-view RGB-D information.

  • 3D point cloud (mesh) sequence compression

    3D model prediction and compression using rigging, animating (deformation) techniques.

  • Creating a MetaHuman Model

    Integrate, align, and enhance photorealistic 4D volumetric-based metahuman creation with multi-view images and point clouds

특허증

For creating dynamic 3D models based on 3D point clouds
Framework information processing system and method

  • Real-time skeleton extraction

    Obtain a high-precision 3D skeleton by analyzing images input from a multi-view camera.

  • Rigging for dynamic metahumans

    Rig a virtual human by analyzing skeleton information extracted from a 4D volumetric model.

  • Animating virtual human movements

    Using Rigged Information and 4D Volumetric Information to Change MetaHumans to Implement Movement

  • Virtual human creation (generative type) deep learning

    Deep learning technology to analyze 4D volumetric information input from multi-view cameras

특허증
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