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13 November 2014 Self-synchronized fast reflectance acquisition
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The hyper-spectrum data exhibits the structure, materials, and semantic meaning of a nature scene and its fast acquisition is of great importance due to its potential for parse these properties of dynamic scenes. Targeting for high speed hyperspectrum imaging of a nature scene, this paper proposes to capture the coded hyper-spectrum reflectance of a nature scene using low cost hardware and reconstruct the latent data using a corresponding decoding algorithm. Except for a wide spectrum light source, the imaging system includes mainly a commercially available projector color wheel and a high speed camera, which work at their own constant periods and are self-synchronized by our algorithm. The introduced light source and color wheel cost less than 50 dollars and makes the proposed approach widely available. The results on the data captured by our prototype system show that, the proposed approach can reconstruct the high precision hyper-spectrum data at real time.
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Dongsheng An, Jinli Suo, Haoqian Wang, and Qionghai Dai "Self-synchronized fast reflectance acquisition", Proc. SPIE 9279, Real-time Photonic Measurements, Data Management, and Processing, 92790X (13 November 2014);

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