Rotation Estimation Based on Serial Network and Application in Cave Buddha Statues

Figure 1

Pipeline of rotation estimation systems. The system is divided into four parts in total. First, a suitable rotation representation is selected for the actual situation (a). Then, the dataset and labels are generated (b) and the tandem network is trained using online training (c). Finally, the rotation angle that will rotate the model to be estimated to a fixed viewpoint is obtained (d).