Dell products l.p. (20240127530). METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING TARGET OBJECT simplified abstract
Contents
- 1 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING TARGET OBJECT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING TARGET OBJECT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING TARGET OBJECT
Organization Name
Inventor(s)
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING TARGET OBJECT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127530 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING TARGET OBJECT
Simplified Explanation
The present disclosure describes a method, electronic device, and computer program product for generating a target object with a fitted curved surface and a greater number of points than the input point cloud. By upsampling the first feature of the input point cloud and determining a second feature based on the reference feature of a reference point cloud, a more accurate three-dimensional reconstruction of the target object can be achieved.
- Upsampling of first feature of input point cloud
- Determining reference feature of reference point cloud
- Generating a three-dimensional target object with a fitted curved surface
- Increasing the number of points in the target object
- Achieving a more accurate three-dimensional reconstruction
Potential Applications
This technology can be applied in various fields such as:
- 3D modeling and design
- Augmented reality
- Virtual reality
- Medical imaging
- Robotics
Problems Solved
This technology addresses the following issues:
- Inaccurate three-dimensional reconstructions
- Limited number of points in point clouds
- Difficulty in creating dense point clouds
Benefits
The benefits of this technology include:
- Improved accuracy in three-dimensional reconstructions
- Increased density of point clouds
- Enhanced visualization of objects
Potential Commercial Applications
The potential commercial applications of this technology include:
- Software development for 3D modeling
- Medical imaging software
- Virtual reality applications
- Robotics software development
Possible Prior Art
One possible prior art is the use of point cloud processing techniques in 3D scanning and modeling applications. These techniques may involve upsampling and feature extraction to improve the quality of three-dimensional reconstructions.
Unanswered Questions
How does this technology compare to existing point cloud processing methods?
This article does not provide a direct comparison with existing point cloud processing methods, so it is unclear how this technology differs or improves upon current techniques.
What are the computational requirements for implementing this method?
The article does not mention the computational resources needed to implement this method, leaving a gap in understanding the practicality of using this technology in real-world applications.
Original Abstract Submitted
embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for generating a target object. the method includes upsampling a first feature of an input point cloud. the method further includes determining a reference feature of a reference point cloud having a predetermined shape. the method further includes determining a second feature based on the upsampled first feature and the reference feature. the method further includes generating a three-dimensional target object based on the second feature and the input point cloud, wherein the target object has a fitted curved surface, and the target object has a greater number of points than the input point cloud. with embodiments of the present disclosure, a point cloud of the target object can be made denser, and the number of points can be increased, thereby achieving a more accurate three-dimensional reconstruction of the target object.