Abstract
Human pose estimation in images is an important and challenging problem in Computer Vision. Currently, methods that employ deep learning techniques excel in the task of 2D human pose estimation. 2D poses can be used in a diverse and broad set of applications, of great relevance to society. However, the use of 3D poses can bring even more accurate and robust results. The objective of this …