Summary

In this chapter, we got an overview of the mathematical formulation of modeling human bodies in 3D. We understood the power of good representation and used simple methods such as Linear Blend Skinning on a powerful representation to obtain realistic outputs. We then got a high-level overview of the SMPL model and used it to create a random 3D human body. Afterward, we went over the code used to generate it. Next, we looked at how SMPLify can be used to fit a 3D human body shape onto a person in a 2D RGB image. We learned about how this uses the SMPL model in the background. Moreover, we fit human body shapes to two images in the LSP dataset and understood the code we used to do this. With this, we got a high-level overview of modeling the human body in 3D.

In the next chapter, we will explore the SynSin model, which is typically used for 3D reconstruction. The goal of the next chapter is to understand how to reconstruct an image from a different view, given just a single...