18147426. SELECTING REPRESENTATIVE IMAGE VIEWS FOR 3D OBJECT MODELS IN SYNTHETIC CONTENT CREATION SYSTEMS AND APPLICATIONS simplified abstract (NVIDIA Corporation)
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 18147426 titled 'SELECTING REPRESENTATIVE IMAGE VIEWS FOR 3D OBJECT MODELS IN SYNTHETIC CONTENT CREATION SYSTEMS AND APPLICATIONS
- Simplified Explanation:**
The patent application describes a method for automatically generating 2D images of 3D objects or assets by selecting sample points and processing them using a classifier to identify the most representative image.
- Key Features and Innovation:**
- Automatic generation of 2D images for 3D objects
- Selection of sample points for image generation
- Processing images using a classifier to determine the most representative image
- Potential Applications:**
This technology could be used in industries such as gaming, virtual reality, architecture, and product design to quickly generate 2D representations of 3D objects.
- Problems Solved:**
This technology streamlines the process of creating 2D images of 3D objects, saving time and resources compared to manual methods.
- Benefits:**
- Faster generation of 2D images
- Improved accuracy in selecting representative images
- Enhanced visualization of 3D objects
- Commercial Applications:**
The technology could be utilized in software development for 3D modeling tools, virtual reality applications, and online product visualization platforms.
- Questions about 3D Object Image Generation:**
1. How does this technology improve the efficiency of generating 2D images for 3D objects?
- This technology automates the process of selecting sample points and identifying representative images, saving time and resources.
2. What industries could benefit the most from this automatic 2D image generation technology?
- Industries such as gaming, virtual reality, architecture, and product design could benefit from the quick and accurate generation of 2D images for 3D objects.
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.
