Multi-view camera pose estimation method, apparatus, device and medium
By using the Plucker line method and the random consistency sampling algorithm, the limitation that each camera needs to observe three points in a multi-camera model is overcome, expanding the application scenarios of visual positioning and improving the robustness and accuracy of attitude estimation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU SHIYUAN ELECTRONICS CO LTD
- Filing Date
- 2022-06-20
- Publication Date
- 2026-06-23
AI Technical Summary
In existing technologies, multi-view camera models require each view to observe three points in order to perform pose estimation, which limits the application scenarios of visual positioning.
The Plucker line method combined with the random consistency sampling algorithm is adopted. By obtaining the position of each camera relative to the body and the two-dimensional and three-dimensional coordinates of the observation point in the multi-view camera, the coordinates and depth of the straight line formed by the observation point and the camera are calculated. The attitude combination is calculated by combining the Umeyama method and the random consistency sampling to reduce the influence of noise.
It expands the application scenarios of visual positioning, eliminating the need for each camera to observe three points, thus improving the robustness and accuracy of attitude estimation.
Smart Images

Figure CN117291975B_ABST