Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Mosaics of Scenes with Moving Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Graph-Based Global Registration for 2D Mosaics
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Image Mosaicing and Super-Resolution (Cphc/Bcs Distinguished Dissertations.)
Image Mosaicing and Super-Resolution (Cphc/Bcs Distinguished Dissertations.)
Convex Optimization
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Stabilization Using Scale-Invariant Features
IV '07 Proceedings of the 11th International Conference Information Visualization
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Fast topology estimation for image mosaicing using adaptive information thresholding
Robotics and Autonomous Systems
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Over the past decade, image mosaicing has become as an important tool for several different areas such as panoramic photography, mapping, scene stabilization, video indexing and compression. Although recent advances in detection of image correspondences have resulted in very good image registration, global alignment is still needed to obtain a globally coherent mosaic. Normally, global alignment requires the non-linear minimization of an error term, which is defined from image correspondences. In this paper, a new global alignment method is presented. It works on the mosaic frame and does not require any non-linear optimization. The proposed method has been tested with several image sequences and comparative results are presented to illustrate its performance.