Investigation of QR code reconstruction performance in 3D reconstruction in liner orbit photography based on simulation

抄録

In the case of performing 3D reconstruction from images called photogrammetry, we assume that it can be applied alignment and size adjustment of multiple reconstructions based on the object when the known objects exist in the reconstruction target area. We adopt QR codes as a known object. However, we could not reconstruct the QR code attached to the target in some preliminary experiments. In this study, we verify the shooting method so that the QR code attached to the reconstructed model can be detected with simulation. At first, we create the target object attached QR code. Next, we generate image data with a simulation of linear orbit shooting. We verify the QR code in the reconstructed model and performed 3D reconstruction from these images, and the shooting condition detectable QR code while changing the camera angle, QR code size, and shooting interval. The verification result shows that the size of the QR code affects QR code detection strongly. Moreover, in the case that the size of the code is large, the QR code can be detected by reconstructing the model from images where the QR code cannot be detected due to an angle problem. In contrast, shooting interval has weakly effect on detection. However, there is a QR code that cannot be detected by reconstructing results from large images. For these results, we clarify that it is important to choose images to be adopted in 3D reconstruction for QR code detection.