Virtual Video Camera: Image-Based Viewpoint Navigation Through Space and Time
C. Lipski, C. Linz, K. Berger, A. Sellent, M. Magnor
In Computer Graphics Forum, 29(8), 2010.
Abstract: We present an image-based rendering system to viewpoint-navigate through space and time of complex real-world, dynamic scenes. Our approach accepts unsynchronized, uncalibrated multivideo footage as input. Inexpensive, consumer-grade camcorders suffice to acquire arbitrary scenes, for example in the outdoors, without elaborate recording setup procedures, allowing also for hand-held recordings. Instead of scene depth estimation, layer segmentation or 3D reconstruction, our approach is based on dense image correspondences, treating view interpolation uniformly in space and time: spatial viewpoint navigation, slow motion or freeze-and-rotate effects can all be created in the same way. Acquisition simplification, integration of moving cameras, generalization to difficult scenes and space–time symmetric interpolation amount to a widely applicable virtual video camera system.
Keyword(s): I.3.3 [Computer Graphics]: Picture/Image Generation—I.3.8 Applications
@article{CGF:CGF1824,
author = {C. Lipski and C. Linz and K. Berger and A. Sellent and M. Magnor},
title = {Virtual Video Camera: Image-Based Viewpoint Navigation Through Space and Time},
journal = {Computer Graphics Forum},
volume = {29},
number = {8},
pages = {2555--2568},
year = {2010},
}
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