Algorithms for subpixel registration
Computer Vision, Graphics, and Image Processing
Registration of Translated and Rotated Images Using Finite Fourier Transforms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Panoramic mosaics by manifold projection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Mosaics of Scenes with Moving Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A new method for camera motion parameter estimation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
Extension of phase correlation to subpixel registration
IEEE Transactions on Image Processing
Large object segmentation with region priority rendering
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Panoramas from partially blurred video
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
| Hi-index | 0.00 |
By stitching together adjacent images from a video sequence surveying a scene, a video mosaic of the entire panorama can be formed. Since a video survey consists of a sequence of images having small relative displacements with respect to each other, there is redundant overlapping information in consecutive images so that not all consecutive video images are required to create a mosaic, and only a subset of suitable images needs to be chosen. Images that are misaligned due to subpixel translation, rotation or shear are difficult to perfectly re-align and stitching of such images can result in a mosaic where discontinuities are noticeable. We propose a new technique for the construction of a seamless mosaic to minimise discontinuities. Our technique partitions an image into four quadrants to register with those of successive images. These registration values are used to form a misalignment index for selecting the best images for stitching.