Light Field Based Depth Estimation Algorithm and Hardware Design
Date Issued
2011
Date
2011
Author(s)
Fan Chiang, Shih-Chieh
Abstract
In computational photography, four dimensional light field data areused to depict light rays in free space. Because the information of the light direction is recorded by the light field, applications such as digital refocusing or depth estimation can be achieved by properly rearranging light rays. In this thesis,we focus on algorithms and hardware realization of depth estimation applications.
To calculate the depth of the objects using light field data, we propose three algorithms to estimate the depth. The first approach isthe fast Fourier transform method which uses a sharpness scoring technique to evaluate the relationship between the score and the object depth. The second method and the third method are the disparity method and the enhanced disparity method, respectively. They both use the Average Absolute Difference(AAD)method to calculate disparitiesof four dimensional light field data, but the later method adds two techniques, confidence assignment and grouped averaging, to correct themiscalculated disparities.
Besides the three algorithms, Wediscuss how the differentpinhole array parameterscan affect our depth estimation results. We also implement hardware to increase the computationspeed of the enhanced disparity method. The chip and core sizesare7.9185mm2and4.6677mm2 respectively.The power consumption is 187mW when running at 100MHz.
Subjects
light field
depth estimation
pinhole array mask
hardware design
Type
thesis
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