3D camera-based fitting parameter measurement method, system, device and medium
By using motion video streams from 3D cameras and point cloud fusion technology, a high-precision facial parameter measurement method is generated, which solves the problems of accuracy and convenience in facial parameter measurement in remote self-service scenarios and achieves measurement results comparable to professional instruments.
Patent Information
- Application Number
- CN202610548409.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot achieve high-precision, full-view facial parameter measurement in remote self-service scenarios, especially pupil distance and pupil height measurement. They suffer from problems such as high noise in single-frame depth data and occlusion of lateral key points, resulting in insufficient measurement accuracy and inconvenience in operation.
By acquiring motion video streams based on 3D cameras, extracting image frame sequences and detecting key points, and combining depth maps and camera intrinsic parameter matrices to generate sparse 3D point clouds, the point clouds are aligned using rigid body transformation matrices, and a standard point cloud model is obtained through iterative optimization, and then the required parameters for eyeglasses are calculated.
It achieves high-precision facial parameter measurement in remote self-service scenarios, improving measurement accuracy and ease of operation, eliminating random noise and viewpoint obstruction problems of consumer-grade 3D cameras, and achieving measurement results comparable to professional instruments.
Smart Images
Figure CN122415534A_ABST