The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces

In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motion capture, action recognition, medical-image analysis, etc. We describe an articulated and bending surface representation well suited for this task as well as a method which aligns (or registers) such a surface to 3-D data. Articulated objects, e.g., humans and animals, are covered with clothes and skin which may be seen as textured surfaces. These surfaces are both articulated and deformable and one realistic way to model them is to assume that they bend in the neighborhood of the shape's joints. We will introduce a surface-bending model as a function of the articulated-motion parameters. This combined articulated-motion and surface-bending model better predicts the observed phenomena in the data and therefore is well suited for surface registration. Given a set of sparse 3-D data (gathered with a stere...

• Type: Conference
• Year: 2006
• Where: ECCV
• Authors: Guillaume Dewaele, Frederic Devernay, Radu Horaud, Florence Forbes
• Keywords: 3-D Data, 3-D Data Points, Articulated Shapes, Computer Vision, ECCV 2006, Sparse 3-d Data, Stereo Camera Pair