Snap inc. (20240346672). COMPUTING A POINT CLOUD FROM STITCHED IMAGES simplified abstract
Contents
COMPUTING A POINT CLOUD FROM STITCHED IMAGES
Organization Name
Inventor(s)
Simon Saito Haagen Nielsen of Beverly Hills CA (US)
John Christopher Collins of Mico TX (US)
Allan Joseph Evans of Los Angeles CA (US)
Graham Shaw of Redondo Beach CA (US)
Vikas Gupta of San Francisco CA (US)
COMPUTING A POINT CLOUD FROM STITCHED IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346672 titled 'COMPUTING A POINT CLOUD FROM STITCHED IMAGES
Simplified Explanation:
This patent application describes a method and system for creating a point cloud by capturing images with two cameras and stitching them together to create a composite image. Depth information is extracted from the overlap area to generate a point cloud.
- The method involves capturing images with two cameras, each with a field of view of more than 180 degrees.
- The images are stitched together to create a composite stitched image based on the area of overlap.
- Depth information is extracted from the overlap area to create a point cloud.
- The point cloud is generated from image data that would otherwise be discarded.
Key Features and Innovation:
- Use of two cameras with a wide field of view for capturing images.
- Stitching images together to create a composite stitched image.
- Extracting depth information from the overlap area to generate a point cloud.
- Creating a point cloud from image data that would typically be discarded.
Potential Applications:
This technology could be used in various applications such as:
- 3D modeling
- Augmented reality
- Virtual reality
- Robotics
- Autonomous vehicles
Problems Solved:
This technology addresses the following problems:
- Efficient creation of point clouds
- Utilization of otherwise discarded image data
- Accurate depth information extraction
Benefits:
The benefits of this technology include:
- Improved accuracy in creating point clouds
- Enhanced depth information extraction
- Increased efficiency in image processing
Commercial Applications:
Commercial applications of this technology could include:
- Surveying and mapping industries
- Entertainment and gaming industries
- Automotive industry for autonomous vehicles
- Robotics and automation industry
- Virtual reality and augmented reality applications
Questions about Point Cloud Creation:
1. How does the method of extracting depth information from the overlap area contribute to the creation of a point cloud? 2. What are the potential limitations of using two cameras with a wide field of view for capturing images in this context?
Original Abstract Submitted
a method and system for creating a point cloud are disclosed. a first image is captured by a first camera sensor and a second image is captured by a second camera sensor. the first and the second image have an area of overlap. location of the first camera relative to the second camera is predetermined and each of the first and the second camera is having a field of view of more than 180 degrees. based on the area of overlap, the first and the second image are stitched to create a composite stitched image. in one aspect, depth information from the area of overlap is extracted based on the predetermined location and a point cloud is created from otherwise to be discarded image data in the area of overlap.
