基于双向条纹点云匹配的复杂纹理误差校正
打开文本图片集
中图分类号：TP394.1；TH691.9 文献标志码：A doi：10.37188/CO.2025-0040 CSTR：32171.14.CO.2025-0040
Error correction of complex texture objects based on bidirectional fringe projection point cloud matching
ZHANG Zheng-qi1²， CHEN Yu-chong1，2，DA Fei-peng 1，2 ， GAI Shao-yan 1，2 * （1.School ofAutomation，SoutheastUniversity，Nanjing2loo96，China; 2. Key Laboratory ofMeasurement and Control of Complex Systems of Engineering，Ministry of Education， SoutheastUniversity，Nanjing2loo96，China） （204 * Corresponding author， E-mail： qxxymm@163.com
Abstract： In structured light 3D measurement systems， defocusing of the camera is inevitable. Because of camera defocus，the object's complex surface texture introduces substantial phase errors，degrading measurement accuracy.To address this issue，this paper analyzes and formulates an error model for phase distortions arising from complex textures，and elucidates the relationship between the phase error and the direction of texture edge.Thus，a correction method for complex texture errors based on bidirectional fringe projection point cloud fiting is proposed. Theoretically，the bidirectional phase information obtained by projecting horizontal and vertical fringe patterns should yield perfect consistent point clouds. Thus， the method corrects the phase by minimizing the Euclidean distance between the corresponding points in the horizontal and vertical point clouds，ultimately obtaining the corrcted point cloud. To remove global shifts from calibration parameter errors， a pre-correction process is applied through point cloud matching. In comparative experiments， our method achieves up to 33.6% reduction in the mean absolute error （MAE） and 39.1% reduction in the root mean square error （RMSE） versus conventional approaches. These results demonstrate its superior accuracy for reconstructing objects with complex texture.
Key Words： 3D measurement; structured light; phase shifting method; complex texture; phase map correction
1引言
条纹投影轮廓术（FringeProjectionProfilo-metry，FPP）[1-2]因具有测量速度快、精度高、成本低等优势，在工业生产、智能机器人、逆向工程、虚拟现实、医疗等领域[3-8有着广泛的应用。（剩余15127字）
