3D Reconstruction With Time-of-Flight Depth Camera and Multiple Mirrors

被引:34
|
作者
Trong-Nguyen Nguyen [1 ]
Huu-Hung Huynh [2 ]
Meunier, Jean [1 ]
机构
[1] Univ Montreal, DIRO, Montreal, PQ H3T 1J4, Canada
[2] Univ Danang, Univ Sci & Technol, Danang 556361, Vietnam
来源
IEEE ACCESS | 2018年 / 6卷
基金
加拿大自然科学与工程研究理事会;
关键词
Depth camera; depth distortion; mirror; reflection; space carving; time-of-flight;
D O I
10.1109/ACCESS.2018.2854262
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to extract more detailed features, many recent practical applications work with 3-D models instead of 2-D images. However, 3-D reconstruction usually requires either multiple cameras or a depth sensor and a turntable. This paper proposes an approach for performing a 3-D reconstruction using only one depth camera together with two or more mirrors. Mirrors are employed as virtual depth cameras placed at different positions. All measured depth data are provided in only one frame at each time. Significant depth distortion behind a mirror, which occurred with a standard time-of-flight depth sensor, is reduced by removing unreliable points and/or re-estimating better positions for these points. The experiments on easy-to-evaluate geometric objects show that the proposed approach could play a basic role in reconstructing intermediate 3-D object models in practical applications using only cheap devices.
引用
收藏
页码:38106 / 38114
页数:9
相关论文
共 50 条
  • [21] 3D Scene Capturing using Stereoscopic Cameras and a Time-of-Flight Camera
    Lee, Cheon
    Song, Hyok
    Choi, Byeongho
    Ho, Yo-Sung
    [J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2011, 57 (03) : 1370 - 1376
  • [22] Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera
    He, Yu
    Chen, Shengyong
    [J]. IEEE ACCESS, 2019, 7 : 12495 - 12510
  • [23] MOEMS-based Time-of-Flight Camera for 3D Video Capturing
    You, Jang-Woo
    Park, Yong-Hwa
    Cho, Yong-Chul
    Park, Chang-Young
    Yoon, Heesun
    Lee, Sang-Hun
    Lee, Seung-Wan
    [J]. MOEMS AND MINIATURIZED SYSTEMS XII, 2013, 8616
  • [24] Range Imaging Using a Time-of-Flight 3D Camera And a Cooperative Object
    Ollikkala, A. V. H.
    Makynen, A. J.
    [J]. I2MTC: 2009 IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3, 2009, : 790 - 794
  • [25] Modified 3D time-of-flight camera for object separation in organic farming
    Knoll, Florian J.
    Holtorf, Tim
    Hussmann, Stephan
    [J]. DIGITAL OPTICAL TECHNOLOGIES 2017, 2017, 10335
  • [26] Performance Evaluation of 3D Keypoint Detectors for Time-Of-Flight Depth Data
    Ghorpade, Vijaya K.
    Checchin, Paul
    Malaterre, Laurent
    Trassoudaine, Laurent
    [J]. 2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2016,
  • [27] Omnidirectional 3D reconstruction using rotating camera with mirrors
    Wei, Jiang
    Sugimoto, Shigeki
    Okutomi, Masatoshi
    [J]. Systems and Computers in Japan, 2007, 38 (04) : 12 - 24
  • [28] Analytic Reconstruction of the Attenuation from 3D Time-of-Flight PET Data
    Rezaei, Ahmadreza
    Nuyts, Johan
    Defrise, Michel
    [J]. 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2012, : 2330 - 2333
  • [29] Methodology for Olive Pruning Windrow Assessment Using 3D Time-of-Flight Camera
    Castillo-Ruiz, Francisco J.
    Colmenero-Martinez, Jose T.
    Bayano-Tejero, Sergio
    Gonzalez-Sanchez, Emilio J.
    Lara, Francisco M.
    Blanco-Roldan, Gregorio L.
    [J]. AGRONOMY-BASEL, 2021, 11 (06):
  • [30] An Autonomous Forklift with 3D Time-of-Flight Camera-Based Localization and Navigation
    Behrje, Ulrich
    Himstedt, Marian
    Maehle, Erik
    [J]. 2018 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2018, : 1739 - 1746