SAMSUNG ELECTRONICS CO., LTD. (20240346765). METHOD AND AN ELECTRONIC DEVICE FOR 3D SCENE RECONSTRUCTION AND VISUALIZATION simplified abstract

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METHOD AND AN ELECTRONIC DEVICE FOR 3D SCENE RECONSTRUCTION AND VISUALIZATION

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Anna Ilyinichna Sokolova of Moscow (RU)

Anna Borisovna Vorontsova of Moscow (RU)

Alexander Georgievich Limonov of Moscow (RU)

METHOD AND AN ELECTRONIC DEVICE FOR 3D SCENE RECONSTRUCTION AND VISUALIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346765 titled 'METHOD AND AN ELECTRONIC DEVICE FOR 3D SCENE RECONSTRUCTION AND VISUALIZATION

Simplified Explanation:

This patent application describes a method for reconstructing and visualizing 3D scenes using neural networks and algorithms.

  • Trained base neural network for obtaining distance information for voxels of a real scene
  • Operating the trained neural network to obtain distance information from input frames
  • Inputting distance information to an algorithm for 3D scene reconstruction
  • Rendering the 3D reconstruction for visualization
  • Displaying the 3D visualization on a display

Key Features and Innovation:

  • Utilizes neural networks for distance information extraction
  • Efficient 3D scene reconstruction from input frames
  • Real-time 3D visualization of scenes
  • Integration of neural networks and algorithms for accurate reconstruction

Potential Applications:

  • Virtual reality content creation
  • Architectural visualization
  • Gaming industry for realistic environments
  • Medical imaging for 3D reconstructions

Problems Solved:

  • Efficient and accurate 3D scene reconstruction
  • Real-time visualization of complex scenes
  • Automation of distance information extraction

Benefits:

  • Faster and more accurate 3D scene reconstruction
  • Realistic visualization of scenes
  • Improved user experience in various industries

Commercial Applications:

3D Scene Reconstruction and Visualization Technology: Revolutionizing Virtual Reality and Architectural Visualization Markets

Prior Art:

Readers can explore prior art related to neural network-based 3D scene reconstruction and visualization in academic journals, patent databases, and industry publications.

Frequently Updated Research:

Stay updated on the latest advancements in neural network applications for 3D scene reconstruction and visualization through research papers and conferences.

Questions about 3D Scene Reconstruction and Visualization:

1. How does this technology improve the efficiency of 3D scene reconstruction compared to traditional methods? 2. What are the potential limitations of using neural networks for distance information extraction in this context?


Original Abstract Submitted

a method for 3d scene reconstruction and visualization, may include, using at least one processor: obtaining a trained base neural network by training the base neural network for obtaining distance information for voxels of a real scene; operating the trained base neural network for obtaining the distance information of an input sequence of frames of the real scene; inputting the distance information to an algorithm that outputs a 3d reconstruction of the real scene; obtaining a 3d visualization of the real scene by rendering the 3d reconstruction of the real scene; and instructing at least one display to display the 3d visualization of the real scene.

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