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Example of depth map predicted on the H36M dataset

Example of depth map predicted on the H36M dataset

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Figure 1: The proposed 3d pose estimation network architecture. Where...
Figure 2: Example of depth map predicted on the H36M dataset
Figure 4: Histograms of depth values to assess normality
Figure 5: Correlation vs average mm error example plots, with best fit...
+2 Figure 6: Diagram outlining how to achieve with our pipeline 3d...
On the Role of Depth Predictions for 3D Human Pose Estimation
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  • Oct 2022
Following the successful application of deep convolutional neural networks to 2D human pose estimation, the next logical problem to solve is static 3D human pose estimation from monocular images. While previous solutions have shown some success, they do not fully utilize the depth information from the 2D inputs. With the goal of addressing this dep...
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