Structures Stereo Camera based Twin Camera Module System
Pages 333 - 336
Abstract
In this paper, we wanted to implement a twin camera module system that is easy to carry and easy to produce 3D content. The proposed twin camera module system is a system that can convert images entered from 2D stereo cameras and output them into three-dimensional images. For the performance evaluation of the system proposed in this paper, the calibration of the rotation and tilt according to the time difference between left and right images of stereo stereoscopic images taken with two lenses, left and right, was evaluated using the Test Platform. In addition, using the Scale Invariant Feature Transform (SIFT) algorithm, we wanted to verify the efficiency of the twin camera module system by verifying the 3D stereoscopic image distance error. The twin-camera module system proposed in this paper can be displayed to the output devices according to different 3D stereoscopic image production methods if the filmed image is changed to 3D stereoscopic image and prepared image and output outside. In addition, it is expected that the prepared images and stereoscopic images will be printed through different channels so that they can be easily applied to many products and easily used to produce 3D stereoscopic video contents.
References
[1]
Shai Avidan and Amnon Shashua. 2000. Trajectory triangulation: 3D reconstruction of moving points from a monocular image sequence. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 4 (April 2000), 348–357. https://doi.org/10.1109/34.845377
[2]
Oh-Young Kwon and Kyoung-Taek Seo. 2015. 3D Reconstruction Using a Single Camera. Journal of the korea Institute of Information and Communication Engineering 19, 12 (Dec. 2015), 2943–2948. https://doi.org/10.6109/jkiice.2015.19.12.2943
[3]
Jongsub Park, June Seok Hong, and Wooju Kim. 2017. A Study on Intuitive IoT Interface System using 3D Depth Camera. Journal of Society for e-Business Studies 22, 2 (May 2017), 137–152. https://doi.org/10.7838/jsebs.2017.22.2.137
[4]
Aviv Yuniar Rahman, Surya Sumpeno, and Mauridhi Hery Purnomo. 2017. Arca detection and matching using Scale Invariant Feature Transform (SIFT) method of stereo camera. 2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT) (Jan. 2017), 66–71. https://doi.org/10.1109/ICSIIT.2017.45
[5]
Seon-Min Rhee, Jong-Moo Choi, and Soo-Mi Choi. 2010. A Method for Reproducing Stereo Images to Adjust Screen Parallax on a 3D Display. Journal of the Korea computer graphics society 16, 4 (2010), 1–10. https://doi.org/10.15701/kcgs.2010.16.4.1
[6]
Torsten Sattler, Bastian Leibe, and Leif Kobbelt. 2016. Efficient & effective prioritized matching for large-scale image-based localization. IEEE transactions on pattern analysis and machine intelligence 39, 9 (Sept. 2016), 1744–1756. https://doi.org/10.1109/TPAMI.2016.2611662
Index Terms
- Structures Stereo Camera based Twin Camera Module System
Index terms have been assigned to the content through auto-classification.
Recommendations
Large Scale Object Measurement Based on Data Fusion of Stereo Camera's Multi-viewpoint Images
ICCAE 2018: Proceedings of the 2018 10th International Conference on Computer and Automation EngineeringMulti-view photogrammetry is a method to obtain the spatial position of the target points in the field of view by fusing image data from multi-viewpoint, it's suitable for the measurement of large scale object's surface dimension parameters, which may ...
Vision Based People Tracking Using Stereo Camera and Camshift
ICIRA 2013: Proceedings of the 6th International Conference on Intelligent Robotics and Applications - Volume 8102In this paper proposes a visual manipulation method that incorporates computation of 3D object position from characteristic disparity of stereo image. First, we proceed to an image revision work using the calibration. To obtain the characteristic ...
Single Lens Stereo with a Plenoptic Camera
Special issue on interpretation of 3-D scenes—part IIOrdinary cameras gather light across the area of their lens aperture, and the light striking a given subregion of the aperture is structured somewhat differently than the light striking an adjacent subregion. By analyzing this optical structure, one can ...
Comments
Information & Contributors
Information
Published In
September 2020
491 pages
ISBN:9781450389259
DOI:10.1145/3426020
Copyright © 2020 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 November 2021
Check for updates
Author Tags
Qualifiers
- Short-paper
- Research
- Refereed limited
Funding Sources
- This research was supported by the MISP(Ministry of Science, ICT & Future Planning), Korea, under the National Program for Excellence in SW(2017-0-00137) supervised by the IITP(Institute of Information & communications Technology Planing & Evaluation)
Conference
SMA 2020
SMA 2020: The 9th International Conference on Smart Media and Applications
September 17 - 19, 2020
Jeju, Republic of Korea
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 16Total Downloads
- Downloads (Last 12 months)4
- Downloads (Last 6 weeks)0
Reflects downloads up to 03 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format