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Volume: 32 | Article ID: art00031
Depth Map Quality Evaluation for Photographic Applications
  DOI :  10.2352/ISSN.2470-1173.2020.9.IQSP-370  Published OnlineJanuary 2020

As depth imaging is integrated into more and more consumer devices, manufacturers have to tackle new challenges. Applica- tions such as computational bokeh and augmented reality require dense and precisely segmented depth maps to achieve good re- sults. Modern devices use a multitude of different technologies to estimate depth maps, such as time-of-flight sensors, stereoscopic cameras, structured light sensors, phase-detect pixels or a com- bination thereof. Therefore, there is a need to evaluate the quality of the depth maps, regardless of the technology used to produce them. The aim of our work is to propose an end-result evalua- tion method based on a single scene, using a specifically designed chart. We consider the depth maps embedded in the photographs, which are not visible to the user but are used by specialized soft- ware, in association with the RGB pictures. Some of the aspects considered are spatial alignment between RGB and depth, depth consistency, and robustness to texture variations. This work also provides a comparison of perceptual and automatic evaluations.

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Eloi Zalczer, François-Xavier Thomas, Laurent Chanas, Gabriele Facciolo, Frédéric Guichard, "Depth Map Quality Evaluation for Photographic Applicationsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XVII,  2020,  pp 370-1 - 370-7,

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