We present a novel approach for the joint estimation of a person's overall body orientation, 3D shape and texture, from overlapping cameras. Overall body orientation (i.e. rotation around torso major axis) is estimated by minimizing the difference between a learned texture model in a canonical orientation and a texture sampled using the current 3D shape estimate (i.e. torso and head). The estimated body orientation subsequently allows to update the 3D shape estimate, taking into account the new

more »

... 3D shape measurement obtained by volume carving. Our main contribution is a method for estimating a person's relative body orientation while simultaneously generating a basic Spherical Harmonics based model of the person's shape and texture. Experiments show that the proposed method outperforms two state-of-the-art orientation estimation methods: one combining a fixed 3D shape model with a generate-and-test texture matching approach and one using a classifier based approach.