This survey is mainly motivated by the increased availability and use of panoramic image
acquisition devices, in computer vision and various of its applications. Different technologies …

We consider the self-calibration problem for a generic imaging model that assigns projection
rays to pixels without a parametric map**. We consider the central variant of this model …

The 1D radial camera maps all points on a plane, containing the principal axis, onto the
radial line which is the intersection of that plane and the image plane. It is a sufficiently …

We address the self-calibration of a smooth generic central camera from only two dense
rotational flows produced by rotations of the camera about two unknown linearly …

We present an algorithm for plane-based self-calibration of cameras with radially symmetric
distortions given a set of sparse feature matches in at least two views. The projection …

The high power of the eye and optical components used to image it result in “static”
distortion, remaining constant across acquired retinal images. In addition, raster-based …

We consider the problem of estimating the relative orientation of a number of individual
photocells–or pixels–that hold fixed relative positions. The photocells measure the intensity …

In this paper we address the problem of self-calibrating a differentiable generic camera from
two rotational flows defined on an open set of the image. Such a camera model can be used …

The generic central camera model can describe any imaging system with a single effective
viewpoint. We are interested in the selfcalibration of this model from only two rotations about …

We consider the problem of estimating the relative orientation of a number of individual
photocells-or pixels-that hold fixed relative positions. The photocells measure the intensity of …