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Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
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SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
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Mosaicing on Adaptive Manifolds
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Omnistereo: Panoramic Stereo Imaging
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Movie-maps: An application of the optical videodisc to computer graphics
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Automatic multiperspective images
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Perception of perspective distortions in image-based rendering
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International Journal of Mobile Human Computer Interaction
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Systems such as Google Street View and Bing Maps Streetside enable users to virtually visit cities by navigating between immersive 360° panoramas, or bubbles. The discrete moves from bubble to bubble enabled in these systems do not provide a good visual sense of a larger aggregate such as a whole city block. Multi-perspective "strip" panoramas can provide a visual summary of a city street but lack the full realism of immersive panoramas. We present Street Slide, which combines the best aspects of the immersive nature of bubbles with the overview provided by multi-perspective strip panoramas. We demonstrate a seamless transition between bubbles and multi-perspective panoramas. We also present a dynamic construction of the panoramas which overcomes many of the limitations of previous systems. As the user slides sideways, the multi-perspective panorama is constructed and rendered dynamically to simulate either a perspective or hyper-perspective view. This provides a strong sense of parallax, which adds to the immersion. We call this form of sliding sideways while looking at a street façade a street slide. Finally we integrate annotations and a mini-map within the user interface to provide geographic information as well additional affordances for navigation. We demonstrate our Street Slide system on a series of intersecting streets in an urban setting. We report the results of a user study, which shows that visual searching is greatly enhanced with the Street Slide interface over existing systems from Google and Bing.