What can two images tell us about a third one?
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SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
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Virtualized reality: constructing time-varying virtual worlds from real world events
VIS '97 Proceedings of the 8th conference on Visualization '97
Novel View Synthesis by Cascading Trilinear Tensors
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From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications
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ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Plane+Parallax, Tensors and Factorization
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Photorealistic Scene Reconstruction by Voxel Coloring
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Shape-From-Silhouette Across Time Part I: Theory and Algorithms
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Image-Based Rendering Using Image-Based Priors
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Virtual view specification and synthesis for free viewpoint television
IEEE Transactions on Circuits and Systems for Video Technology
Super resolution of images of 3D scenecs
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Novel view synthesis using locally adaptive depth regularization
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Trifocal transfer based novel view synthesis for micromanipulation
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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In this paper we examine the problem of synthesizing virtual views from scene points within the scene, i.e., from scene points which are imaged by the real cameras. On one hand this provides a simple way of defining the position of the virtual camera in an uncalibrated setting. On the other hand, it implies extreme changes in viewpoint between the virtual and real cameras. Such extreme changes in viewpoint are not typical of most New-View-Synthesis (NVS) problems.In our algorithm the virtual view is obtained by aligning and comparing all the projections of each line-of-sight emerging from the "virtual camera" center in the input views. In contrast to most previous NVS algorithms, our approach does not require prior correspondence estimation nor any explicit 3D reconstruction. It can handle any number of input images while simultaneously using the information from all of them. However, very few images are usually enough to provide reasonable synthesis quality. We show results on real images as well as synthetic images with ground-truth.