Nvidia corporation (20240203052). REPLICATING PHYSICAL ENVIRONMENTS AND GENERATING 3D ASSETS FOR SYNTHETIC SCENE GENERATION simplified abstract
Contents
REPLICATING PHYSICAL ENVIRONMENTS AND GENERATING 3D ASSETS FOR SYNTHETIC SCENE GENERATION
Organization Name
Inventor(s)
[[:Category:András B�dis-szomor� of Zurich (CH)|András B�dis-szomor� of Zurich (CH)]][[Category:András B�dis-szomor� of Zurich (CH)]]
Artem Rozantsev of Zurich (CH)
Michael Shelley of Munich (DE)
Jean-Francois Lafleche of Toronto (CA)
REPLICATING PHYSICAL ENVIRONMENTS AND GENERATING 3D ASSETS FOR SYNTHETIC SCENE GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240203052 titled 'REPLICATING PHYSICAL ENVIRONMENTS AND GENERATING 3D ASSETS FOR SYNTHETIC SCENE GENERATION
The patent application describes a method for automatically generating a digital representation of an environment with multiple objects of various types.
- Initial representation, such as a point cloud, is created from image or scan data of the environment.
- Objects in the environment are segmented and identified based on the initial representation.
- Accurate representations of recognized objects are substituted in the digital environment representation.
- If no accurate model is available, a mesh or other representation of the object is generated and placed in the environment.
- The result is a 3D representation of the scene with identified and segmented objects that can be viewed and interacted with from different perspectives.
- Potential Applications:**
- Virtual reality simulations - Augmented reality applications - Autonomous navigation systems
- Problems Solved:**
- Automating the generation of digital environments - Improving object recognition and segmentation accuracy - Enhancing user interaction with digital representations
- Benefits:**
- Faster and more accurate digital environment creation - Enhanced user experience in virtual and augmented reality environments - Improved object recognition in autonomous systems
- Commercial Applications:**
Title: Automated Digital Environment Generation for Virtual Reality Applications This technology can be used in the development of virtual reality games, training simulations, architectural visualization, and industrial design applications. It can also benefit companies working on autonomous vehicles, robotics, and surveillance systems.
- Prior Art:**
Prior research in computer vision, 3D modeling, and virtual reality technologies may be relevant to this patent application. Researchers and developers in these fields could provide insights into similar methods and technologies.
- Frequently Updated Research:**
Researchers in computer vision and virtual reality are constantly exploring new techniques for improving object recognition, scene segmentation, and digital environment generation. Stay updated on the latest advancements in these areas to enhance the capabilities of this technology.
- Questions about Automated Digital Environment Generation:**
1. How does this technology improve the accuracy of object recognition in digital environments? 2. What are the potential limitations of using automated methods for generating digital representations of complex environments?
Original Abstract Submitted
approaches presented herein can provide for the automatic generation of a digital representation of an environment that may include multiple objects of various object types. an initial representation (e.g., a point cloud) of the environment can be generated from registered image or scan data, for example, and objects in the environment can be segmented and identified based at least on that initial representation. for objects that are recognized based on these segmentations, stored accurate representations can be substituted for those objects in the representation of the environment, and if no such model is available then a mesh or other representation of that object can be generated and positioned in the environment. a result can then include a 3d representation of a scene or environment in which objects are identified and segmented as individual objects, and representations of the scene or environment can be viewed, and interacted with, through various viewports, positions, and perspectives.
