17981766. METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING TARGET OBJECT simplified abstract (Dell Products L.P.)
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 How does this technology compare to existing methods for point cloud processing?
- 1.11 What are the computational requirements for implementing this method?
- 1.12 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 17981766 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 by upsampling a first feature of an input point cloud, determining a reference feature of a reference point cloud, determining a second feature based on the upsampled first feature and the reference feature, and generating a three-dimensional target object with a fitted curved surface and a greater number of points than the input point cloud.
- Upsampling first feature of input point cloud
- Determining reference feature of reference point cloud
- Generating target object with fitted curved surface and increased number of points
Potential Applications
This technology could be applied in various fields such as 3D modeling, computer-aided design, virtual reality, augmented reality, and medical imaging.
Problems Solved
This technology solves the problem of achieving a more accurate three-dimensional reconstruction of a target object by making the point cloud denser and increasing the number of points.
Benefits
The benefits of this technology include improved accuracy in three-dimensional reconstructions, enhanced visualization of objects, and increased detail in digital models.
Potential Commercial Applications
Potential commercial applications of this technology include software development for 3D modeling, virtual reality applications, medical imaging software, and computer-aided design tools.
Possible Prior Art
One possible prior art could be the use of point cloud processing techniques in 3D scanning and modeling software. Another could be methods for upsampling point clouds to increase detail in digital models.
Unanswered Questions
How does this technology compare to existing methods for point cloud processing?
This article does not provide a direct comparison to existing methods for point cloud processing. It would be helpful to know the specific advantages and limitations of this technology compared to other techniques.
What are the computational requirements for implementing this method?
The article does not mention the computational resources needed to implement this method. Understanding the computational requirements could be crucial for assessing the feasibility of using this technology in different 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.
