The Space of All Stereo Images
International Journal of Computer Vision - Marr Prize Special Issue
Interactive Design of Multi-Perspective Images for Visualizing Urban Landscapes
VIS '04 Proceedings of the conference on Visualization '04
Photographing long scenes with multi-viewpoint panoramas
ACM SIGGRAPH 2006 Papers
Multiple multiperspective rendering for autostereoscopic displays
SIGGRAPH '05 ACM SIGGRAPH 2005 Sketches
Line cameras for monitoring and surveillance sensor networks
Proceedings of the 15th international conference on Multimedia
Adjusting route panoramas with condensed image slices
Proceedings of the 15th international conference on Multimedia
Scanning Depth of Route Panorama Based on Stationary Blur
International Journal of Computer Vision
ACM SIGGRAPH Asia 2009 papers
Depth from stationary blur with adaptive filtering
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Automatic multiperspective images
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Real-time multi-perspective rendering on graphics hardware
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Technical Section: Perceptual 3D rendering based on principles of analytical cubism
Computers and Graphics
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Our eyes have evolved with perspective optics. Because of this, perspective images seem somewhat natural to our eyes; they're well tailored for human vision. In a perspective image, the objects close to us appear large and in detail, yet we enjoy sweeping wide-range views of distant scenery. Cameras have also evolved with perspective optics. It's natural for the optics of cameras to mimic the human eye. However, our perspective has some unfortunate shortcomings. In particular, our eyes have a limited field of view, and we can only see the world in front of us. Ideally, we could see in all directions at once. Additionally, we can only see one side of an object at a time. But suppose you could see all sides at the same time. In the last few years, some researchers (including ourselves) have investigated techniques that capture multiple perspectives into a single image - a problem known as multiperspective imaging. Multiperspective images are useful for several reasons. The ability to capture a panoramic field of view or both the front and back of an object leads to richer and more complete visualizations. At the same time, these images are well suited for processing in computer vision problems such as stereo reconstruction and motion analysis. The article presents an overview of our work in this area, and our view of multiperspective imaging in general.