A Switching Morphological Algorithm for Depth Map Recovery

被引:0
作者
Ruchay, Alexey N. [1 ,2 ]
Dorofeev, Konstantin A. [2 ]
Kalschikov, Vsevolod V. [2 ]
机构
[1] Russian Acad Sci, Fed Res Ctr Biol Syst & Agrotechnol, Orenburg, Russia
[2] Chelyabinsk State Univ, Dept Math, Chelyabinsk, Russia
来源
ANALYSIS OF IMAGES, SOCIAL NETWORKS AND TEXTS, AIST 2019 | 2019年 / 11832卷
基金
俄罗斯科学基金会;
关键词
Depth map; Morphological filter; 3D surface reconstruction; FUSION; IMAGE;
D O I
10.1007/978-3-030-37334-4_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we propose a switching morphological filter for RGB-D depth map recovery. The switching algorithm consists of the following steps: detection of noisy pixels and hollow areas (holes) using morphological filtering; correction of the detected noisy and hole pixels. With the help of computer simulation, we show that the proposed algorithm is able to fast recover depth maps. So, the accuracy of 3D surface reconstruction with the proposed filtering noticeably increases. The performance of the proposed algorithm is compared in terms of the accuracy of 3D surface reconstruction and processing time with that of common depth filtering algorithms.
引用
收藏
页码:357 / 366
页数:10
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