Fig. 4: Augmentation and inference performance.

a View augmentation improves the accuracy of reconstruction. A subset of cameras are used for view augmentation and the relative accuracy is measured by comparing to the full model that is trained by 62 camera augmentation (m = 62). While the landmarks that are relatively rigid shape such as nose, head, neck, and hip can produce accurate reconstruction with small augmentation, the limb landmarks such as hands, knees, and feet require greater augmentation. The overall accuracy is improved from 34% (m = 1) to 76% (m = 48), which justifies the multiview augmentation. b Once the detection model is trained with the full view augmentation (m = 62), a subset of cameras can be used to achieve comparable performance. The relative accuracy is measured by comparing to n = 62. For instance, eight cameras can achieve 80% overall performance. However, the limbs with high degrees of freedom such as hands, knees, and feet require more cameras to reach comparable levels.