Nvidia corporation (20240221288). SELECTING REPRESENTATIVE IMAGE VIEWS FOR 3D OBJECT MODELS IN SYNTHETIC CONTENT CREATION SYSTEMS AND APPLICATIONS simplified abstract
SELECTING REPRESENTATIVE IMAGE VIEWS FOR 3D OBJECT MODELS IN SYNTHETIC CONTENT CREATION SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
Marco Foco of Plainsboro NJ (US)
Michael Kass of San Jose CA (US)
Artem Rozantsev of Zurich (CH)
SELECTING REPRESENTATIVE IMAGE VIEWS FOR 3D OBJECT MODELS IN SYNTHETIC CONTENT CREATION SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240221288 titled 'SELECTING REPRESENTATIVE IMAGE VIEWS FOR 3D OBJECT MODELS IN SYNTHETIC CONTENT CREATION SYSTEMS AND APPLICATIONS
The approaches outlined in the abstract aim to automatically generate representative two-dimensional (2D) images for three-dimensional (3D) objects or assets. This involves determining a set of options related to viewpoint or other parameters of a virtual camera, selecting sample points from which to generate 2D images of a 3D model, and using a classifier to identify the most confidently classified images.
- Automatic generation of 2D images for 3D objects or assets
- Determination of options such as viewpoint for virtual camera
- Selection of sample points for generating 2D images
- Processing of 2D images using a classifier to determine classification confidence
- Refinement process using nearby sample points for optimization
- Selection of representative 2D image for the 3D object or asset
Potential Applications: - Virtual reality and augmented reality applications - Gaming industry for realistic graphics - Architectural visualization and design - Medical imaging for 3D reconstructions - E-commerce for showcasing products in 3D
Problems Solved: - Streamlining the process of generating 2D images from 3D models - Improving accuracy in selecting representative images - Enhancing visualization of complex 3D objects
Benefits: - Time-saving in creating 2D representations of 3D objects - Increased accuracy in image selection - Improved user experience in virtual environments
Commercial Applications: Title: "Automated 2D Image Generation for 3D Objects: Commercial Implications" This technology can be utilized in industries such as gaming, virtual reality, e-commerce, architecture, and medical imaging for enhanced visualization and user experience. It can streamline the process of creating 2D representations of 3D objects, leading to more efficient workflows and improved product showcasing.
Questions about Automated 2D Image Generation for 3D Objects: 1. How does this technology impact the gaming industry? 2. What are the potential applications of this technology in medical imaging?
Frequently Updated Research: Stay updated on advancements in automated image generation techniques for 3D objects to ensure the most efficient and accurate processes are being utilized in various industries.
Original Abstract Submitted
approaches presented herein provide for automatic generation of representative two-dimensional (2d) images for three-dimensional (3d) objects or assets. in generating these 2d images, a set of options is determined such as may relate to viewpoint or other parameters of a virtual camera. a set of sample points is determined from which to generate 2d images of a 3d model, for example, with 2d images being processed using a classifier to determine which of these images generates a classification with highest confidence or probability, individually or with respect to other classifications. the sample point for this selected image can then be used to select nearby sample points as part of a refinement or optimization process, where 2d images can again be generated and processed using a classifier to identify a 2d image with highest classification probability or confidence, which can be selected as representative of the 3d object or asset.
