A wide-baseline multiview system for indoor scene capture

CVMP(2022)

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摘要
We present a complete multiview acquisition system, a camera array allowing depth reconstruction based on disparity. We built a new wide-baseline camera grid supported by an interactive camera controller purposely built for indoor large scene capture. It is composed of 16 cameras aligned as a 4 x 4 grid, synchronized, and characterized. The design of the camera system manages storage and real-time capture viewing. We also propose a DNN-based approach to estimate the floating-point disparity values, which is adapted to wide-baseline configurations while providing high precision, even for sharp and concave objects. The ultimate result is a dense 3D point cloud which offers versatile possibilities of viewing.
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关键词
Camera arrays, disparity reconstruction, Deep-neural networks
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