Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Panoramic mosaics by manifold projection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Automatic Mosaicing with Super-Resolution Zoom
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Mosaics of Scenes with Moving Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Model-based 2D&3D dominant motion estimation for mosaicing and video representation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Mosaic based representations of video sequences and their applications
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Construction and Refinement of Panoramic Mosaics with Global and Local Alignment
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
Eliminating Structure and Intensity Misalignment in Image Stitching
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Global motion estimation: feature-based, featureless, or both ?!
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
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A variable homography is presented which can improve mosaicing across image seams where parallax (i.e., depth variations) occur. Homographies are commonly used in image mosaicing, and are ideal when the acquiring camera has been rotated around its optical center, or when the scene being mosaiced is a plane. In most cases, however, objects in the overlapping areas of adjacent images have different depths and exhibit parallax, and so a single homography will not result in a good merge. To compensate for this, an algorithm is presented which can adjust the scale of the homography relating two views, based upon scene content. The images are first rectified so that their retinal planes are parallel. The scale of the homography is then estimated for each vertical position of a sliding window over the area of overlap, and the scaled homography is applied to this region. The scale is blended so that there are no abrupt changes across the homography field, and the images are finally stitched together. The algorithm has been implemented and tested, and has been found to be effective, fast, and robust.