High resolution depth image recovery algorithm based on the modeling of the sum of an average distance image and a surface image

High resolution depth image recovery algorithm based on the modeling of the sum of an average distance image and a surface image
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DOI:
10.1109/icip.2016.7532877
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发表时间:
2016-08
期刊:
2016 IEEE International Conference on Image Processing (ICIP)
影响因子:
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通讯作者:
Kazunori Uruma;K. Konishi;Tomohiro Takahashi;T. Furukawa
Kazunori Uruma;K. Konishi;Tomohiro Takahashi;T. Furukawa
中科院分区:
其他
文献类型:
--
作者:
Kazunori Uruma;K. Konishi;Tomohiro Takahashi;T. Furukawa

文献摘要

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本文提出了一种新的深度图像恢复算法,该算法利用RGB彩色图像从非常低分辨率的深度图像恢复出高分辨率的深度图像。为了实现高恢复性能,本文将高分辨率深度图像表示为平均距离图像和表面图像之和。实验结果表明,该算法能够有效地从低分辨率深度图像中恢复出高分辨率深度图像。
This paper proposes a new depth image recovery algorithm which recovers a high resolution depth image using RGB color image from a very low resolution depth image. In order to achieve a high recovery performance, this paper represents the high resolution depth image as the sum of an average distance image and a surface image. Experimental examples show that the proposed algorithm achieves a high resolution depth recovery from a very low resolution depth image effectively.