Dot-coded structured light for accurate and robust 3D reconstruction

被引：12

作者：

Gu, Feifei ^{[1
,2
]}

Cao, Huazhao ^{[3
]}

Song, Zhan ^{[1
,2
]}

Xie, Pengju ^{[3
]}

Zhao, Juan ^{[1
,2
]}

Liu, Jing ^{[1
]}

机构：

[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China

[2] Chinese Univ Hong Kong, Hong Kong, Peoples R China

[3] Univ Chinese Acad Sci, Beijing, Peoples R China

来源：

APPLIED OPTICS | 2020年 / 59卷 / 33期

关键词：

REAL-TIME; SHAPE MEASUREMENT; SPECKLE;

D O I：

10.1364/AO.403624

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Speckle dots have the advantage of easy projection, which makes them good candidate features of structured light (SL) cameras, such as Kinect v1. However, they generally yield poor accuracy due to block matching. To improve their accuracy, this paper proposes a dot-coded SL, the coding information of which is added into dot distribution. Some of the dots are arranged regularly to provide easy-to-locate corner features, while others are specially designed to form different shapes of unique identification. A Gaussian-cross module and a simplified ResNet have been proposed to conduct robust decoding. Various experiments are performed to verify the accuracy and robustness of our framework. (C) 2020 Optical Society of America

引用

页码：10574 / 10583

页数：10

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