Underwater Optical 3-D Reconstruction of Photometric Stereo Considering Light Refraction and Attenuation

被引:17
作者
Fan, Hao [1 ]
Qi, Lin [1 ]
Chen, Changhao [1 ]
Rao, Yuan [1 ]
Kong, Linghui [1 ]
Dong, Junyu [1 ]
Yu, Hui [2 ]
机构
[1] Ocean Univ China, Coll Informat Sci & Engn, Qingdao 266100, Peoples R China
[2] Univ Portsmouth, Sch Creat Technol, Portsmouth PO1 2UP, Hants, England
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Cameras; Light sources; Attenuation; Three-dimensional displays; Sea surface; Measurement by laser beam; Optical variables control; Optical signal processing; photometric stereo; underwater 3-D reconstruction; underwater equipment; VISION; DEPTH;
D O I
10.1109/JOE.2021.3085968
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Photometric stereo is a widely used optical 3-D reconstruction method, which has advantages for high-resolution and well-detailed 3-D reconstruction even in weak texture regions. However, in underwater photometric stereo, the light refraction and attenuation using the camera and point light sources usually result in significant errors in shape recovery. In this article, we present a novel solution to address these challenges for improving the performance of underwater photometric stereo by combining it with underwater laser triangulation. First, we employ underwater laser triangulation as references to correct the global surface-shape distortion caused by nonuniform close-range illumination. Second, we propose to use an underwater camera refractive model to eliminate nonlinear refraction distortion. Third, we build a device implementing the proposed method for 3-D seabed reconstruction in on-site sea trials. Experimental results demonstrate that the proposed approach is able to produce accurate 3-D reconstruction results in the underwater environment.
引用
收藏
页码:46 / 58
页数:13
相关论文
共 33 条
[1]   Evaluating the effect of diffuse light on photometric stereo reconstruction [J].
Angelopoulou, Maria E. ;
Petrou, Maria .
MACHINE VISION AND APPLICATIONS, 2014, 25 (01) :199-210
[2]   Experimentation of structured light and stereo vision for underwater 3D reconstruction [J].
Bruno, F. ;
Bianco, G. ;
Muzzupappa, M. ;
Barone, S. ;
Razionale, A. V. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2011, 66 (04) :508-518
[3]  
Cipolla, 2020, P BRIT MACH VIS C
[4]  
Collins T, 2012, LECT NOTES COMPUT SC, V7511, P634, DOI 10.1007/978-3-642-33418-4_78
[5]   Refractive laser triangulation and photometric stereo in underwater environment [J].
Fan, Hao ;
Qi, Lin ;
Ju, Yakun ;
Dong, Junyu ;
Yu, Hui .
OPTICAL ENGINEERING, 2017, 56 (11)
[6]   Deviation correction method for close-range photometric stereo with nonuniform illumination [J].
Fan, Hao ;
Qi, Lin ;
Wang, Nan ;
Dong, Junyu ;
Chen, Yijun ;
Yu, Hui .
OPTICAL ENGINEERING, 2017, 56 (10)
[7]   High Quality Photometric Reconstruction using a Depth Camera [J].
Haque, Sk. Mohammadul ;
Chatterjee, Avishek ;
Govindu, Venu Madhav .
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2014, :2283-2290
[8]   A Hand-held Photometric Stereo Camera for 3-D Modeling [J].
Higo, Tomoaki ;
Matsushita, Yasuyuki ;
Joshi, Neel ;
Ikeuchi, Katsushi .
2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2009, :1234-1241
[9]   Depth from gradient fields and control points: bias correction in photometric stereo [J].
Horovitz, I ;
Kiryati, N .
IMAGE AND VISION COMPUTING, 2004, 22 (09) :681-694
[10]  
Iwahori Y., 1990, Proceedings. 10th International Conference on Pattern Recognition (Cat. No.90CH2898-5), P83, DOI 10.1109/ICPR.1990.118069