Spatial Registration Model of TOF Camera Depth Data based on BP Algorithm

For the errors in the original depth data obtained by TOF depth camera, which lead to image distortion, the method of establishing BP neural network space registration model was proposed to calibrate the depth data deviation caused by non-systematic random error in the process of TOF camera depth data measurement and systematic error of TOF camera measurement principle. The results are compared and analyzed with the calibration results based on the principle of keyhole imaging, BP algorithm is adopted to establish the space registration of BP neural network model, and its precision is higher than the calibration results based on the principle of keyhole imaging, stronger generalization ability, better able to recover the real scene depth data. It provides a new idea and method for the calibration of depth data measured by TOF camera.