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. Author manuscript; available in PMC: 2023 Oct 19.
Published in final edited form as: Proc IEEE Inst Electr Electron Eng. 2023 May 23;111(10):1236–1286. doi: 10.1109/JPROC.2023.3273517

Fig. 6.

Fig. 6.

Example of state-of-the-art deep learning-based human pose and mesh detection with individuals in the scene separated properly [102]. The input to the methods is a standard 2-D RGB photograph. The 3-D mesh method provides an estimation of the relative depths of the people in the scene. (a) Original photograph. (b) 2-D pose. (c) 2-D pose, superimposed. (d) 3-D pose. (e) 3-D mesh. (f) 3-D mesh, alternative view.