Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
View synthesis from unregistered 2-D images
GI '96 Proceedings of the conference on Graphics interface '96
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Local Blur Estimation and Super-Resolution
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Automatic Mosaicing with Super-Resolution Zoom
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Acquisition and Visualization of Colored 3D Objects
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
IEEE Transactions on Image Processing
Texture mapping of flat-like 3D models
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
EuroMed'12 Proceedings of the 4th international conference on Progress in Cultural Heritage Preservation
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The work investigates the problem of how information contained in different overlapping images of a scene can be combined to produce larger images of higher quality. The resulted images can be used for different applications like forensic image analysis, computer animation, special effects, 3D model texture mapping or panorama mosaic. In our case, high-resolution image mosaics of mural frescos are required for the texturing of a 3D model that will be used in a movie production. We developed a novel method for the derivation of a high quality mosaic using multi-resolution and multi-temporal images acquired from arbitrary positions and cameras. This method named 'constrained mesh-wise affine transformation' allows for seamless enhancement of the scene in the areas where higher resolution images are available. In this paper, we also discuss alternative procedures for the texture mapping of a 3D model using existing multi-resolution and multi-temporal imagery. The work has been done within a project aimed at a virtual and physical reconstruction of the destroyed Buddha statues of Bamiyan, Afghanistan.