We present a system for accurate real-time mapping of complex and arbitrary indoor scenes
in variable lighting conditions, using only a moving low-cost depth camera and commodity …

We propose a new method to quickly and accurately predict 3D positions of body joints from
a single depth image, using no temporal information. We take an object recognition …

This work presents a new efficient method for fitting ellipses to scattered data. Previous
algorithms either fitted general conics or were computationally expensive. By minimizing the …

Differences in religious faith-based viewpoints (controversies) on the sanctity of human life,
acceptable behaviour, health-care technologies and health-care services contribute to the …

We propose a new method to quickly and accurately predict human pose---the 3D positions
of body joints---from a single depth image, without depending on information from preceding …

A methodology for evaluating range image segmentation algorithms is proposed. This
methodology involves (1) a common set of 40 laser range finder images and 40 structured light …

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 …

We address the problem of inferring the pose of an RGB-D camera relative to a known 3D
scene, given only a single acquired image. Our approach employs a regression forest that is …

We describe two new approaches to human pose estimation. Both can quickly and
accurately predict the 3D positions of body joints from a single depth image without using any …

A problem in uncalibrated stereo reconstruction is that cameras which deviate from the pinhole
model have to be pre-calibrated in order to correct for nonlinear lens distortion. If they are …