Salient video stills: content and context preserved
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
QuickTime VR: an image-based approach to virtual environment navigation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Hierarchical image caching for accelerated walkthroughs of complex environments
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Painterly rendering for animation
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
LDI tree: a hierarchical representation for image-based rendering
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Robot Vision
Movie-maps: An application of the optical videodisc to computer graphics
SIGGRAPH '80 Proceedings of the 7th annual conference on Computer graphics and interactive techniques
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
Distributed Robust Image Mosaics
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
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The image mosaic method is an image-based rendering method which is based on the ability to align different views of a scene (overlapped) into a large image and then to blend the image together seamlessly. A smooth image mosaic algorithm for stitching multiple source images together to produce a single output image is proposed. It can effectively eliminate the impact of light and colour difference on the matching of two images, and reduce the possibility of mismatch, without involving intensive computing. It works well for almost all pictures with common characteristics. The algorithm can be easily and efficiently implemented.