3D HUMAN BODY POSE ESTIMATION BY SUPERQUADRICS
Ilya M. Afanasyev, Massimo Lunardelli, Nicolò Biasi, Luca Baglivo, Mattia Tavernini, Francesco Setti, M. De Cecco · 2012
Abstract: This paper presents a method for 3D Human Body pose estimation by using a multi-camera system. The pose is estimated by RANSAC-object search with a robust least square fitting of 3D points to SuperQuadric (SQ) models of the searched object. The solution is verified by evaluating the matching score between the SQ object model and 3D real data captured by a multi-camera system and segmented by a special preprocessing algorithm. This method can be used for 3D object recognition, localization and pose estimation of Human Body.