18517435. SINGLE-PASS OBJECT SCANNING simplified abstract (Apple Inc.)
Contents
- 1 SINGLE-PASS OBJECT SCANNING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SINGLE-PASS OBJECT SCANNING - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
SINGLE-PASS OBJECT SCANNING
Organization Name
Inventor(s)
Rafael Felipe Veiga Saracchini of Berlin (DE)
Tobias Rick of Mountain View CA (US)
Zachary Z. Becker of Issaquah WA (US)
SINGLE-PASS OBJECT SCANNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18517435 titled 'SINGLE-PASS OBJECT SCANNING
Simplified Explanation
The patent application describes a method for generating a 3D model based on a selected subset of images and depth data.
- Acquiring sensor data during movement in a physical environment
- Selecting a subset of images based on motion-based defects assessment
- Generating a 3D model of an object using the selected subset of images and depth data
Potential Applications
This technology could be applied in various industries such as:
- Augmented reality
- Virtual reality
- Robotics
Problems Solved
This technology helps in:
- Creating accurate 3D models
- Improving object recognition
- Enhancing spatial understanding
Benefits
The benefits of this technology include:
- Improved visualization
- Enhanced user experience
- Increased efficiency in object modeling
Potential Commercial Applications
Potential commercial applications of this technology include:
- 3D scanning services
- Gaming and entertainment industries
- Architectural and engineering design
Possible Prior Art
One possible prior art for this technology could be:
- 3D scanning devices
- Image processing software
Unanswered Questions
How does this technology handle complex objects with intricate details?
The article does not address how the technology deals with objects that have intricate details and complex shapes.
What is the accuracy of the generated 3D models compared to traditional methods?
The article does not provide information on the accuracy of the 3D models generated using this technology compared to traditional methods.
Original Abstract Submitted
Various implementations disclosed herein include devices, systems, and methods that generates a three-dimensional (3D) model based on a selected subset of the images and depth data corresponding to each of the images of the subset. For example, an example process may include acquiring sensor data during movement of the device in a physical environment including an object, the sensor data including images of a physical environment captured via a camera on the device, selecting a subset of the images based on assessing the images with respect to motion-based defects based on device motion and depth data, and generating a 3D model of the object based on the selected subset of the images and depth data corresponding to each of the images of the selected subset.
