J. Draréni, P.F. Sturm and S. Roy. In, Machine Vision and Applications Journal (MVA), January 2012, Volume 23, Issue 1, pp 79-89. In this paper we present two methods to geometrically calibrate a video projector using a markerless planar surface. The first method assumes a partial knowledge on the camera parameters whereas the second method […]
Read the rest of this entry »Plane-Based Calibration for Linear Cameras
J. Draréni, P.F. Sturm and S. Roy, in International Journal of Computer Vision, Volume 91, Number 2, pages 146-156, 2011. Linear or 1D cameras are used in several areas such as industrial inspection and satellite imagery.Since 1D cameras consist of a linear sensor, a motion (usually perpendicular to the sensororientation) is performed in order to […]
Read the rest of this entry »Indoor Calibration using Segments Chains
J. Draréni, R. Keriven, and R. Marlet In this paper, we present a new method for line segments matching for indoor reconstruction. Instead of matching individual seg- ments via a descriptor like most methods do, we match segment chains that have a distinctive topology using a dynamic programing formula- tion. Our method relies solely […]
Read the rest of this entry »Projector Auto-Calibration
J. Draréni, S. Roy and P. Sturm In this paper we address the problem of geometric calibration of video projectors. Like in most previous methods we also use a camera that observes the projection on a planar surface. Contrary to those previous methods, we neither require the camera to be calibrated nor the presence of […]
Read the rest of this entry »Plane-Based Calibration for Linear Cameras.
J. Draréni, P.F. Sturm and S. Roy. Linear or 1D cameras are used in several areas such as industrial inspection and satellite imagery. Since 1D cameras consist of a linear sensor, a motion (usually perpendicular to the sensor orientation) is performed in order to acquire a full image. In this paper, we present a novel […]
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