Depth-based computational photography |
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| Authors: | Ziwei Liu Jingdan Liu Xiangmin Li Peng Zhao |
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| Affiliation: | 1. School of Optoelectronics, Beijing Institute of Technology, Beijing, China;2. Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing, China;3. College of Information and Computer Engineering, Northeast Forestry University, Harbin, China |
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| Abstract: | A depth-based computational photography model is proposed for all-in-focus image capture. A decomposition function, a defocus matrix, and a depth matrix are introduced to construct the photography model. The original image acquired from a camera can be decomposed into several sub-images on the basis of depth information. The defocus matrix can be deduced from the depth matrix according to the sensor defocus geometry for a thin lens model. And the depth matrix is reconstructed using the axial binocular stereo vision algorithm. This photography model adopts an energy functional minimization method to acquire the sharpest image pieces separately. The implementation of the photography method is described in detail. Experimental results for an actual scene demonstrate that our model is effective. |
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| Keywords: | computational imaging image formation theory three-dimensional image acquisition geometrical optics decomposition function |
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