8 March 2017 Depth image interpolation algorithm based on confidence map
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Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 102550D (2017) https://doi.org/10.1117/12.2268286
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China
Abstract
TOF (time-of-flight) depth camera is a 3D imaging device that can obtain high-precision distance information. It is used to estimate 3D structure directly without the help of traditional computer-vision algorithms. However, it has some disadvantages such as generated a depth map with low resolution and it has large random noise. In order to overcome this limitation, we proposed a new method with combines the confidence map and use the interpolation operation to improve the resolution of the image. In the up-sampling process, we consider the relationship between distance information generated by TOF camera and the confidence map, through a novel method that based on the confidence value to weighted for the traditional nearest neighbor interpolation, bilinear interpolation and the bi-cubic interpolation algorithm, increase the weight of the depth information with high confidence value in every way. Then through the multi-directional changes of edge gradient, the pixel points of edge region to be optimize with the interpolation. Experimental results show that ours method can improve the resolution of the depth image and optimize the edge effect.
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Yutong Zhong, Yutong Zhong, Yu Wang, Yu Wang, Yan Piao, Yan Piao, } "Depth image interpolation algorithm based on confidence map", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102550D (8 March 2017); doi: 10.1117/12.2268286; https://doi.org/10.1117/12.2268286
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