The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Robust Reweighted MAP Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
On the Epipolar Geometry Between Two Images with Lens Distortion
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Photometric Calibration of Zoom Lens Systems
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Construction and Refinement of Panoramic Mosaics with Global and Local Alignment
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A fast parametric motion estimation algorithm with illumination and lens distortion correction
IEEE Transactions on Image Processing
Stereo analysis by hybrid recursive matching for real-time immersive video conferencing
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, a new panoramic image generation algorithm is proposed based on more realistic image formation processes. Perspective projection, lens distortion, vignetting and illumination effects are incorporated into the proposed panoramic modeling. Intrinsic and extrinsic camera parameters are estimated by the proposed stable camera parameter estimation algorithm derived from panning camera constraints. This paper shows that accurate panoramic images can be reconstructed based on the proposed camera modeling and parameters estimation. The effectiveness of the proposed algorithm is also shown with several image sequences in terms of reconstruction error from the generated panoramic image.