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2018 | OriginalPaper | Buchkapitel

Coded Two-Bucket Cameras for Computer Vision

verfasst von : Mian Wei, Navid Sarhangnejad, Zhengfan Xia, Nikita Gusev, Nikola Katic, Roman Genov, Kiriakos N. Kutulakos

Erschienen in: Computer Vision – ECCV 2018

Verlag: Springer International Publishing

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Abstract

We introduce coded two-bucket (C2B) imaging, a new operating principle for computational sensors with applications in active 3D shape estimation and coded-exposure imaging. A C2B sensor modulates the light arriving at each pixel by controlling which of the pixel’s two “buckets” should integrate it. C2B sensors output two images per video frame—one per bucket—and allow rapid, fully-programmable, per-pixel control of the active bucket. Using these properties as a starting point, we (1) develop an image formation model for these sensors, (2) couple them with programmable light sources to acquire illumination mosaics, i.e., images of a scene under many different illumination conditions whose pixels have been multiplexed and acquired in one shot, and (3) show how to process illumination mosaics to acquire live disparity or normal maps of dynamic scenes at the sensor’s native resolution. We present the first experimental demonstration of these capabilities, using a fully-functional C2B camera prototype. Key to this unique prototype is a novel programmable CMOS sensor that we designed from the ground up, fabricated and turned into a working system.

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Metadaten
Titel
Coded Two-Bucket Cameras for Computer Vision
verfasst von
Mian Wei
Navid Sarhangnejad
Zhengfan Xia
Nikita Gusev
Nikola Katic
Roman Genov
Kiriakos N. Kutulakos
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-030-01219-9_4