Method for Attaining Object-Side Light Fields and Metric Depth Maps from a Commercial Plenoptic Camera

2021 ◽  
Author(s):  
Weston Aenchbacher
Keyword(s):  
Light Fields ◽  
Depth Maps ◽  
Plenoptic Camera

scholarly journals How depth estimation in light fields can benefit from super-resolution?

2018 ◽  
Vol 15 (1) ◽  
pp. 172988141774844 ◽  
Author(s):  
Mandan Zhao ◽  
Gaochang Wu ◽  
Yebin Liu ◽  
Xiangyang Hao
Keyword(s):  
High Resolution ◽  
Light Field ◽  
Three Dimensional ◽  
Super Resolution ◽  
Depth Estimation ◽  
Light Fields ◽  
Trade Off ◽  
Depth Maps ◽  
Field Imaging

With the development of consumer light field cameras, the light field imaging has become an extensively used method for capturing the three-dimensional appearance of a scene. The depth estimation often requires a dense sampled light field in the angular domain or a high resolution in the spatial domain. However, there is an inherent trade-off between the angular and spatial resolutions of the light field. Recently, some studies for super-resolving the trade-off light field have been introduced. Rather than the conventional approaches that optimize the depth maps, these approaches focus on maximizing the quality of the super-resolved light field. In this article, we investigate how the depth estimation can benefit from these super-resolution methods. Specifically, we compare the qualities of the estimated depth using (a) the original sparse sampled light fields and the reconstructed dense sampled light fields, and (b) the original low-resolution light fields and the high-resolution light fields. Experiment results evaluate the enhanced depth maps using different super-resolution approaches.

scholarly journals RefiNet: 3D Human Pose Refinement with Depth Maps

2021 ◽  
Author(s):  
Andrea D'Eusanio ◽  
Stefano Pini ◽  
Guido Borghi ◽  
Roberto Vezzani ◽  
Rita Cucchiara
Keyword(s):  
Depth Maps ◽  
Human Pose
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