A Generic Camera Model and Calibration Method for Conventional, Wide-Angle, and Fish-Eye Lenses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
A Simple Method of Radial Distortion Correction with Centre of Distortion Estimation
Journal of Mathematical Imaging and Vision
Equidistant (fθ) fish-eye perspective with application in distortion centre estimation
Image and Vision Computing
Fast and robust numerical solutions to minimal problems for cameras with radial distortion
Computer Vision and Image Understanding
Contour matching in omnidirectional images
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Robust radial distortion from a single image
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
A cubic polynomial model for fisheye camera
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Distortion compensation for movement detection based on dense optical flow
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Self-calibration of wireless cameras with restricted degrees of freedom
Computer Vision and Image Understanding
Automatic Radial Distortion Estimation from a Single Image
Journal of Mathematical Imaging and Vision
Unknown radial distortion centers in multiple view geometry problems
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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When deploying a heterogeneous camera network or when we use cheap zoom cameras like in cell-phones, it is not practical, if not impossible to off-line calibrate the radial distortion of each camera using reference objects. It is rather desirable to have an automatic procedure without strong assumptions about the scene. In this paper, we present a new algorithm for estimating the epipolar geometry of two views where the two views can be radially distorted with different distortion factors. It is the first algorithm in the literature solving the case of different distortion in the left and right view linearly and without assuming the existence of lines in the scene. Points in the projective plane are lifted to a quadric in three-dimensional projective space. A radial distortion of the projective plane results to a matrix transformation in the space of lifted coordinates. The new epipolar constraint depends linearly on a 4x4 radial fundamental matrix which has 9 degrees of freedom. A complete algorithm is presented and tested on real imagery.