Transparent and Specular Object Reconstruction with a Plenoptic Camera

Over the past two decades, most techniques that have been developed are focused on opaque objects with Lambertian reflectance. For the transparent and specular objects, they have more complex light transport effect, which pose challenging problems for the current acquisition systems. In this project, we focus on the current transparent and specular objects reconstruction algorithms. A final algorithm is expected to fully use the advantages of the light field camera and achieve reasonable reconstruction results with a simple acquisition framework.


Advisor(s):
Vetterli, Martin
Xue, Zhou
Year:
2015
Keywords:
Note:
Master Optional Project
Laboratories:


Note: The status of this file is: Involved Laboratories Only


 Record created 2015-01-15, last modified 2018-03-17

Final presentation slides:
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The code in the 'Depth estimation in light field' file include the code published by Michael Wish Tao(http://www.eecs.berkeley.edu/~mtao/). Link of the code: http://www.eecs.berkeley.edu/~mtao/papers/DEPTH_FROM_CORR_DEFOC_JPEGONLY.zip:
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