Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
A robust method for registration and segmentation of multiple range images
Computer Vision and Image Understanding
Towards a General Multi-View Registration Technique
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous registration of multiple range views for use in reverse engineering of CAD models
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
International Journal of Computer Vision
Robust Video Mosaicing through Topology Inference and Local to Global Alignment
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
A Solution for the Registration of Multiple 3D Point Sets Using Unit Quaternions
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
A real-time interactive multi-view video system
Proceedings of the 13th annual ACM international conference on Multimedia
Registration of Multiple Point Sets
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
CGIV '07 Proceedings of the Computer Graphics, Imaging and Visualisation
Quaternion-Based Camera Calibration and 3D Scene Reconstruction
CGIV '07 Proceedings of the Computer Graphics, Imaging and Visualisation
Multiview registration of 3D scenes by minimizing error between coordinate frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Epipolar Geometry-Based Fast Disparity Estimation Algorithm for Multiview Image and Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
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This method is based upon the image registration process and the application is when the text which is to be identified is behind the mesh which works as a hurdle. We know that the mesh as hurdle can be made less irritating by either moving the camera or the source itself. The method uses Radon Transform for extracting the mesh lines and capturing the position of the mesh lines. The final process of filling the deformed image is through the registration. The method is adaptive to movement in any direction. Quaternion method is used to remove the scaling and rotational errors. It was tested on a number of images approximately and gave excellent results.