Single-camera stereoscopic 3D multiplexed structured image capture for quantitative fuel-to-air ratio mapping

被引:5
|
作者
McCord, Walker [1 ]
Smith, Cary [1 ]
Zhang, Zhili [1 ]
机构
[1] Univ Tennessee, Dept Mech Aerosp & Biomed Engn, Knoxville, TN 37996 USA
关键词
Three-dimensional; Multiplexed structured image capture; Chemiluminescence; Fuel-to-air ratio; Flame; FLAME; CHEMILUMINESCENCE; TOMOGRAPHY; TOPOGRAPHY;
D O I
10.1016/j.optlaseng.2021.106945
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A single-camera three-dimensional Multiplexed Structured Image Capture (3D-MUSIC) based stereoscopic imaging system is demonstrated to obtain a three-dimensional fuel-to-air ratio (FAR) map of a methane-air Bunsen flame at standard atmosphere conditions. Images of the C 2 * (500nm) and CH * (430nm) emissions are spatially modulated and captured through two optical paths and combined into a single image on the camera. The C 2 * / CH * ratio is computationally recovered by low-pass filtering in the spatial frequency domain and exhibits a linear trend to a FAR map of the flame. Each channel's unique FAR map is fused to generate a line-of-sight threedimensional FAR map by triangulating points from each channel's perspective. As an imaging technique, the 3D MUSIC is capable of obtaining multi-spectral multi-view 3D images using spatial modulation and recovery in one camera without any special illumination. It may be extended for applications in combustion, biomedical, and other key diagnostics.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Ball tracking and 3D trajectory approximation with applications to tactics analysis from single-camera volleyball sequences
    Hua-Tsung Chen
    Wen-Jiin Tsai
    Suh-Yin Lee
    Jen-Yu Yu
    Multimedia Tools and Applications, 2012, 60 : 641 - 667
  • [42] A Single-Camera Omni-Stereo Vision System for 3D Perception of Micro Aerial Vehicles (MAVs)
    Jaramillo, Carlos
    Guo, Ling
    Xiao, Jizhong
    PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2013, : 1409 - 1414
  • [43] Method for Texture Mapping of In-Vehicle Camera Image in 3D Map Creation
    Arai, Kohei
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (10) : 20 - 24
  • [44] Single Camera 3D Digital Image Correlation Using a Polarized System
    Junrui Li
    Boyang Zhang
    Xin Kang
    Wan Xu
    Guobiao Yang
    Lianxiang Yang
    Instruments and Experimental Techniques, 2018, 61 : 99 - 105
  • [45] Single Camera 3D Digital Image Correlation Using a Polarized System
    Li, Junrui
    Zhang, Boyang
    Kang, Xin
    Xu, Wan
    Yang, Guobiao
    Yang, Lianxiang
    INSTRUMENTS AND EXPERIMENTAL TECHNIQUES, 2018, 61 (01) : 99 - 105
  • [46] 3D Surgical Overlay with Markerless Image Registration Using a Single Camera
    Wang, Junchen
    Suenaga, Hideyuki
    Yang, Liangjing
    Liao, Hongen
    Ando, Takehiro
    Kobayashi, Etsuko
    Sakuma, Ichiro
    AUGMENTED ENVIRONMENTS FOR COMPUTER-ASSISTED INTERVENTIONS, AE-CAI 2015, 2015, 9365 : 124 - 133
  • [47] RCIT: A Robust Catadioptric-based Instrument 3D Tracking Method For Microsurgical Instruments In a Single-Camera System
    Alikhani, Alireza
    Ossner, Sebastian
    Dehghani, Shervin
    Busam, Benjamin
    Inagaki, Satoshi
    Maier, Mathias
    Navab, Nassir
    Nasseri, M. Ali
    2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [48] Single-shot 3D tracking based on polarization multiplexed Fourier-phase camera
    Teng, Jiajie
    Hu, Chengyang
    Huang, Honghao
    Chen, Minghua
    Yang, Sigang
    Chen, Hongwei
    PHOTONICS RESEARCH, 2021, 9 (10) : 1924 - 1930
  • [49] Single-shot 3D tracking based on polarization multiplexed Fourier-phase camera
    JIAJIE TENG
    CHENGYANG HU
    HONGHAO HUANG
    MINGHUA CHEN
    SIGANG YANG
    HONGWEI CHEN
    Photonics Research, 2021, 9 (10) : 1924 - 1930
  • [50] APPLICATION OF NEURAL NETWORKS FOR ROBOT 3D MAPPING AND ANNOTATION USING DEPTH IMAGE CAMERA
    Dung, Tran D.
    Capi, Genci
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2022, 37 (06): : 529 - 536