In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...
This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose non-linear optimization (the Levenberg–Marquardt...
This paper presents a new variant of the classical Iterative Closest Point (ICP) algorithm. The ICP result depends heavily on the matching between 3D points of the two cloud of po...
This paper presents a powerful variant of the ICP (Iterative Closest Point) algorithm for registering range images using a probability field. The probability field (p-field) repre...
In this paper, we present a 3D registration algorithm based on simulated physical force/moment for articulated human motion tracking. Provided with sparsely reconstructed 3D human ...