Camera calibration is a primary crucial step in many computer vision tasks. In this paper we present a new neural approach for camera calibration. Unlike some existing neural appr...
We address the problem of efficiently estimating the rotation of a camera relative to the canonical 3D Cartesian frame of an urban scene, under the so-called "Manhattan World&...
Patrick Denis, James H. Elder, Francisco J. Estrad...
Abstract. Conventional photometric stereo has a fundamental limitation that the scale of recovered geometry is limited to the resolution of the input images. However, surfaces that...
The problem of pose estimation arises in many areas of computer vision, including object recognition, object tracking, site inspection and updating, and autonomous navigation when...
Philip David, Daniel DeMenthon, Ramani Duraiswami,...
The aim of Optical Motion Capture is to sequentially estimate the true state X of the subject (generally an articulated body) at any time instant tk from a set of data Dk, capture...