Samsung electronics co., ltd. (20240354988). SYSTEM AND METHOD FOR LEARNING TO SYNTHESIZE HAND-OBJECT INTERACTION SCENE simplified abstract
Contents
SYSTEM AND METHOD FOR LEARNING TO SYNTHESIZE HAND-OBJECT INTERACTION SCENE
Organization Name
Inventor(s)
Hongsuk Choi of Jersey City NJ (US)
Hyun Soo Park of Saint Paul MN (US)
Ibrahim Volkan Isler of Saint Paul MN (US)
SYSTEM AND METHOD FOR LEARNING TO SYNTHESIZE HAND-OBJECT INTERACTION SCENE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354988 titled 'SYSTEM AND METHOD FOR LEARNING TO SYNTHESIZE HAND-OBJECT INTERACTION SCENE
The abstract of the patent application describes a computing system that can analyze an image capturing a hand and an object to estimate a three-dimensional mesh of the hand, a two-dimensional segment of the object, and a three-dimensional feature representing the correlation between the hand and the object. The system then generates output parameters based on this correlation for a specific query point.
- Receiving an image capturing a hand and an object
- Estimating a three-dimensional mesh of the hand from the image
- Estimating a two-dimensional segment of the object from the image
- Estimating a three-dimensional feature representing the correlation between the hand and the object
- Generating output parameters for a query point based on the correlation
Potential Applications: - Virtual reality and augmented reality systems - Gesture recognition technology - Robotics and automation - Medical imaging and diagnostics - Gaming and interactive entertainment
Problems Solved: - Enhancing hand-object interaction in virtual environments - Improving accuracy of gesture recognition systems - Facilitating object manipulation in robotic applications - Enhancing user experience in gaming and entertainment
Benefits: - Enhanced user interaction in virtual environments - Improved accuracy and efficiency in gesture recognition - Increased precision in object manipulation tasks - Enhanced user experience in gaming and entertainment applications
Commercial Applications: Title: Advanced Hand-Object Interaction System This technology can be utilized in various commercial applications such as virtual reality gaming, medical simulations, robotics, and interactive advertising. The market implications include improved user experience, increased efficiency in tasks involving hand-object interaction, and potential for new innovative products and services.
Questions about the technology: 1. How does this technology improve the accuracy of gesture recognition systems? 2. What are the potential implications of this technology in the field of medical imaging and diagnostics?
Frequently Updated Research: Researchers are constantly exploring new ways to enhance hand-object interaction in virtual environments, improve the accuracy of gesture recognition systems, and optimize the performance of robotics and automation systems using similar technologies. Stay updated on the latest advancements in this field to leverage the full potential of this innovative technology.
Original Abstract Submitted
an computing system includes: receiving an image that captures a hand and an object; estimating a three-dimensional (3d) mesh of the hand based on the image; estimating a two-dimensional (2d) segment of the object based on the image; estimating a 3d feature representing a correlation of the hand and the object, based on the 3d mesh of the hand and the 2d segment of the object; and generating a first set of output parameters for a first 3d query point, based on the 3d feature representing the correlation of the hand and the object.
