Artificial Intelligence - Special volume on computer vision
Rendering with concentric mosaics
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
Spherical Mosaics with Quaternions and Dense Correlation
International Journal of Computer Vision
Q-Warping: Direct Computation of Quadratic Reference Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polyhedral Object Localization in an Image by Referencing to a Single Model View
International Journal of Computer Vision
Generalized Mosaicing: High Dynamic Range in a Wide Field of View
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
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)
Object locating using a single model view
ISCV '95 Proceedings of the International Symposium on Computer Vision
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Mosaicing with Parallax using Time Warping
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 11 - Volume 11
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
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Image mosaic construction is about stitching together a number of images about the same scene to construct a single image with a larger field of view. The majority of the previous work was rooted at the use of a single image-to-image mapping termed planar homography for representing the imaged scene. However, the mapping is applicable only to cases where the imaged scene is either a single planar surface, or very distant from the cameras, or imaged under a pure rotation of the camera, and that greatly limits the range of applications of the mosaicking methods. This paper presents a novel mosaicking solution for scenes that are polyhedral (thus consisting of multiple surfaces) and that are pictured possibly in closed range of the camera. The solution has two major advantages. First, it requires only a few correspondences over the entire scene, not correspondences over every surface patch in it to work. Second, it conquers a seemingly impossible task-warping image data of surfaces that are visible in only one of the input images, which we refer to as the singly visible surfaces, to another viewpoint to constitute the mosaic there. We also provide a detail analysis of what determines whether a singly visible surface could be mosaicked or not. Experimental results on real image data are presented to illustrate the performance of the method.