Plenoptic processing methods for distributed camera arrays
2011
Recent advances in digital photography have enabled the development and demonstration of plenoptic cameras with impressive capabilities. They function by recording sub-aperture images that can be combined to re-focus images or to generate stereoscopic pairs. Plenoptic methods are being explored for fusing images from distributed arrays of cameras, with a view toward applications in which hardware resources are limited (e.g. size, weight, power constraints). Through computer simulation and experimental studies, the influences of non-idealities such as camera position uncertainty are being considered. Component image rescaling and balancing methods are being explored to compensate. Of interest is the impact on precision passive ranging and super-resolution. In a preliminary experiment, a set of images from a camera array was recorded and merged to form a 3D representation of a scene. Conventional plenoptic refocusing was demonstrated and techniques were explored for balancing the images. Nonlinear methods were explored for combining the images limited the ghosting caused by sub-sampling. Plenoptic processing was explored as a means for determining 3D information from airborne video. Successive frames were processed as camera array elements to extract the heights of structures. Practical means were considered for rendering the 3D information in color.© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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