Depth error correction for projector-camera based consumer depth cameras

Depth Correction for Depth Cameras From Planarity

Amira Belhedi123 [email protected] Adrien Bartoli2 http://isit.u-clermont1.fr/~ab/ Vincent Gay-Bellile1 [email protected] Steve Bourgeois1 [email protected] Patrick Sayd1 [email protected] Kamel Hamrouni3 [email protected] 1 CEA, LIST, LVIC, F-91191 Gif-sur-Yvette, France. 2 Clermont Université, Université d’Auvergne, ISIT, BP 10448, F63000 Clermont-Ferrand, France. ...

Depth Correction for Depth Camera From Planarity

Depth cameras open new possibilities in fields such as 3D reconstruction, Augmented Reality and video-surveillance since they provide depth information at high frame-rates. However, like any sensor, they have limitations related to their technology. One of them is depth distortion. In this paper, we present a method to estimate depth correction for depth cameras. The proposed method is based on...

Depth error compensation for camera fusion system

Real Time Perspective Correction of Projector Image sing â•œStructure Sensorâ•š Depth Camera

I investigate a new approach for determining the pre-warp homography required to correct a projector image for perspective when projecting on a single flat surface. By using a depth camera placed at a fixed transform near the projector, the normal of the surface can be predicted in real time. By updating a homography on the image to be projected based on the projector intrinsics and the surface...

Real Time Head Pose Estimation from Consumer Depth Cameras

We present a system for estimating location and orientation of a person’s head, from depth data acquired by a low quality device. Our approach is based on discriminative random regression forests: ensembles of random trees trained by splitting each node so as to simultaneously reduce the entropy of the class labels distribution and the variance of the head position and orientation. We evaluate ...