Multi-projector displays using camera-based registration
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Multi-Frame Estimation of Planar Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonmetric Calibration of Wide-Angle Lenses and Polycameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Mosaics via Topology Inference
IEEE Computer Graphics and Applications
Spatio-Temporal Alignment of Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive Construction of 3D Models from Panoramic Mosaics
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Computing the Camera Heading from Multiple Frames
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
Machine Vision and Applications
Registration of Video to Geo-Referenced Imagery
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
The impact of radial distortion on the self-calibration of rotating cameras
Computer Vision and Image Understanding
Pan-tilt-zoom camera calibration and high-resolution mosaic generation
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
A Variational Approach to Problems in Calibration of Multiple Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
The impact of radial distortion on the self-calibration of rotating cameras
Computer Vision and Image Understanding
View synthesis using stereo vision
View synthesis using stereo vision
Computationally efficient image mosaicing using spanning tree representations
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
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Multiple images of a scene are related through 2D/3D view transformations and linear and non-linear camera transformations. In all the traditional techniques to compute these transformations, especially the ones relying on direct intensity gradients, one image and its coordinate system have been assumed to be ideal and distortion free. In this paper, we present a formulation and an algorithm for true multi-image alignment that does not rely on the measurements of a reference image being distortion free. For instance, in the presence of lens distortion, none of the images can be assumed to be ideal. In our formulation, all the images are modeled as intensity measurements represented in their respective coordinate systems, each of which is related to an ideal coordinate system through an interior camera transformation and an exterior view transformation. The goal of the accompanying algorithm is to compute an image in the ideal coordinate system while solving for the transformCations that relate the ideal system with each of the data images.Key advantages of the technique presented in this paper are: (i) no reliance on one distortion free image, (ii) ability to register images and compute coordinate transformations even when the multiple images are of an extended scene with no overlap between the first and last frame of the sequence, and (iii) ability to handle linear and non-linear transformations within the same framework.The new algorithm is evaluated in the context of two applications: (i) correction of lens distortion, and (ii) cre- ation of video mosaics.