Hover Inc. (20240338879). METHODS, STORAGE MEDIA, AND SYSTEMS FOR SELECTING A PAIR OF CONSISTENT REAL-WORLD CAMERA POSES simplified abstract
Contents
METHODS, STORAGE MEDIA, AND SYSTEMS FOR SELECTING A PAIR OF CONSISTENT REAL-WORLD CAMERA POSES
Organization Name
Inventor(s)
Zhiyao Xiong of San Mateo CA (US)
METHODS, STORAGE MEDIA, AND SYSTEMS FOR SELECTING A PAIR OF CONSISTENT REAL-WORLD CAMERA POSES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338879 titled 'METHODS, STORAGE MEDIA, AND SYSTEMS FOR SELECTING A PAIR OF CONSISTENT REAL-WORLD CAMERA POSES
The patent application describes methods, storage media, and systems for selecting a pair of consistent real-world camera poses for 3D reconstruction.
- The process involves capturing multiple images of an object from various camera poses and analyzing them to select a consistent pair of camera poses.
- Selection is based on calculating perturbation errors and reprojection errors from 2D points or line segments in the images.
- A weight is calculated for each camera pose pair based on these errors, and the pair with the highest weight, indicating the highest consistency and stability, is chosen.
Potential Applications: - 3D modeling and reconstruction in various industries such as architecture, archaeology, and entertainment. - Augmented reality and virtual reality applications for immersive experiences. - Robotics for navigation and object recognition.
Problems Solved: - Ensures accurate and consistent 3D reconstructions by selecting the most stable camera poses. - Reduces errors and inconsistencies in the reconstruction process. - Improves the quality of virtual models and simulations.
Benefits: - Enhanced accuracy in 3D reconstruction. - Time and cost savings in the modeling process. - Improved visualization and analysis of objects and environments.
Commercial Applications: "Optimizing Camera Poses for 3D Reconstruction: Market Implications and Potential Uses"
Prior Art: Readers can explore prior research on camera pose selection algorithms in computer vision and photogrammetry.
Frequently Updated Research: Stay informed about advancements in camera pose optimization algorithms and 3D reconstruction techniques.
Questions about Camera Pose Selection for 3D Reconstruction: 1. How does the weight calculation process help in selecting consistent camera poses? 2. What are the key factors that contribute to the stability of camera pose pairs in 3D reconstruction?
Original Abstract Submitted
disclosed are methods, storage media, and systems for selecting a pair of consistent real-world camera poses for 3d reconstruction. the disclosed processes involve capturing multiple images of an object from various camera poses and analyzing the images and camera poses to select a consistent pair of camera poses. this selection is based on calculating perturbation errors and reprojection errors generated from 2d points or 2d line segments in the images. a weight is calculated for each camera pose pair based on these errors, and the pair with the largest weight, indicative of the highest consistency and stability, is selected.
