A survey of image registration techniques
ACM Computing Surveys (CSUR)
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Performance of optical flow techniques
International Journal of Computer Vision
Estimating the heading direction using normal flow
International Journal of Computer Vision
Robust estimation of egomotion from normal flow
International Journal of Computer Vision
QuickTime VR: an image-based approach to virtual environment navigation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Image sequence stabilization in real time
Real-Time Imaging
Motion analysis on the Micro Grained Array Processor
Real-Time Imaging - Special issue on computer vision motion analysis
Optical normal flow estimation on log-polar images. A solution for real-time binocular vision
Real-Time Imaging - Special issue on natural and artificial real-time imaging and vision
Using geometric corners to build a 2D mosaic from a set of image
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Automatic Mosaicing with Super-Resolution Zoom
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Mosaic based representations of video sequences and their applications
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
A recursive least squares solution for recovering robust planar homographies
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
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In this paper, we propose a fast method for panoramic image mosaicing using one-dimensional (1D) flow estimation. First, the 1D flow vectors are estimated at each pixel in x and y directions. Then the global affine parameters are estimated from 1D flows using the iterative least-squares method. The accurate parameters are obtained by iteratively repeated optimization in x and y directions. We have implemented the proposed method on a conventional low-cost PC. The experimental results show that the image mosaicing is possible in near-real time.