Academic literature on the topic 'Structured-light-stereo'

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Journal articles on the topic "Structured-light-stereo"

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Pribanic, Tomislav, Nenad Obradovic, and Joaquim Salvi. "Stereo computation combining structured light and passive stereo matching." Optics Communications 285, no. 6 (2012): 1017–22. http://dx.doi.org/10.1016/j.optcom.2011.10.045.

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Du, Qiuchen, Rongke Liu, Boshen Guan, Yu Pan, and Shuqiao Sun. "Stereo-Matching Network for Structured Light." IEEE Signal Processing Letters 26, no. 1 (2019): 164–68. http://dx.doi.org/10.1109/lsp.2018.2883865.

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Jang, Wonkwi, Changsoo Je, Yongduek Seo, and Sang Wook Lee. "Structured-light stereo: Comparative analysis and integration of structured-light and active stereo for measuring dynamic shape." Optics and Lasers in Engineering 51, no. 11 (2013): 1255–64. http://dx.doi.org/10.1016/j.optlaseng.2013.05.001.

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Park, Min‐Gyu, Jonghee Park, Yongho Shin, Eul‐Gyoon Lim, and Kuk‐Jin Yoon. "Stereo vision with image‐guided structured‐light pattern matching." Electronics Letters 51, no. 3 (2015): 238–39. http://dx.doi.org/10.1049/el.2014.3770.

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Gao, Gui, Xi Chen Yang, and Hai Ming Zhang. "A Fast Structured Light Matching Method in Robot Stereo Vision." Applied Mechanics and Materials 29-32 (August 2010): 1981–84. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.1981.

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3D surface reconstruction has been widely used in reverse engineering, remanufacturing and automatic measurement. Binocular stereo imaging technology is the main method to obtain 3D information. Images are acquired from different positions of the object. The 3D coordinates of the point can be calculated according to the point’s coordinates in left and right cameras. The key to ensure the accuracy of 3D reconstruction is high precision and fast matching method of two images. As the image feature was not obvious, structured light is used. For its easy identification and extraction, the method ha
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Barone, S., P. Neri, A. Paoli, and A. V. Razionale. "Structured light stereo catadioptric scanner based on a spherical mirror." Optics and Lasers in Engineering 107 (August 2018): 1–12. http://dx.doi.org/10.1016/j.optlaseng.2018.03.004.

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Du, Jun, Ling Yu Yong, Mei Sun, and Jia Sheng Ge. "Study on Stereo Vision for 3D Reconstruction of Welding Seam." Advanced Materials Research 850-851 (December 2013): 212–16. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.212.

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The Monocular stereo vision sensor based on structured light is designed and invented for the detection of the weld seam. By incorporating the structured light, the corresponding points matching problem in the stereo vision has been solved effectively. Firstly, the built monocular stereo vision system is used to obtain the image information of seam surface. Then the image coordinate of the seam feature points in the two-dimensional plane can be identified and extracted, through the responding image processing and feature analysis of the seam image collected. After that, the three-dimensional c
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Liu, Yu Bao, Bin Liu, and Jun Yi Lin. "A Method of Line Structured Light Vision System Calibration Based on Stereo Vision." Applied Mechanics and Materials 397-400 (September 2013): 1453–58. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.1453.

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It is a difficult task to get enough numbers of highly accurate control points for projector calibration in line structured light vision system. A new projector calibration method based on binocular stereo vision is proposed in this paper. Two cameras calibration can be done usingtraditional camera calibration method and they composed a binocular stereo vision. In projector calibration procedure, a planar template was located at several different positions in front of the stereo vision system. Two cameras captured the stripe images in each position simultaneously. Every center points of the la
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Li, Meiying, Jin Liu, Haima Yang, Wanqing Song, and Zihao Yu. "Structured Light 3D Reconstruction System Based on a Stereo Calibration Plate." Symmetry 12, no. 5 (2020): 772. http://dx.doi.org/10.3390/sym12050772.

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Calibration is a critical step in structured light 3D imaging systems. However, in the traditional calibration process, since the calibration plate is based on a two-dimensional model, the flatness of the calibration plate and the angle of the photo will affect the subsequent stitching steps based on the feature points. The number of photos also affects the calibration results. To improve the calibration accuracy, multiple photos need to be taken. The primary objective of this study was to achieve the simple and fast calibration of system parameters, so a method obtaining a large number of cal
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Peng, Kai, Xing Lin Zhou, and Ji Guang Liu. "Obstacle Detection System Based on Stereo Vision and a Structured Light." Advanced Materials Research 424-425 (January 2012): 1070–74. http://dx.doi.org/10.4028/www.scientific.net/amr.424-425.1070.

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Obstacle detection is a crucial issue for pilotless device guidance function and it has to be performed with high reliability to avoid any potential collision with the front object. The vision-based obstacle detection systems are regarded perfect for this purpose because they require little on all kind of condition. In this paper, an obstacle detection system using stereo vision sensors and structured light is developed. This system realizes rapid feature matching and high precision measurement distance with the help of structured light, avoiding the time-consuming of the initial corresponding
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Dissertations / Theses on the topic "Structured-light-stereo"

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Radu, Orghidan. "Catadioptric stereo based on structured light projection." Doctoral thesis, Universitat de Girona, 2006. http://hdl.handle.net/10803/7733.

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La percepció per visió es millorada quan es pot gaudir d'un camp de visió ampli. Aquesta tesi es concentra en la percepció visual de la profunditat amb l'ajuda de càmeres omnidireccionals. La percepció 3D s'obté generalment en la visió per computadora utilitzant configuracions estèreo amb el desavantatge del cost computacional elevat a l'hora de buscar els elements visuals comuns entre les imatges. La solució que ofereix aquesta tesi és l'ús de la llum estructurada per resoldre el problema de relacionar les correspondències.<br/>S'ha realitzat un estudi sobre els sistemes de visió omnidireccio
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Ozturk, Oguz Ahmet. "3d Face Reconstruction Using Stereo Images And Structured Light." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12609015/index.pdf.

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Nowadays, 3D modelling of objects from multiple images is a topic that has gained great recognition and is widely used in various fields. Recently, lots of progress has been made in identification of people using 3D face models, which are usually reconstructed from multiple face images. In this thesis, a system including stereo cameras and structured light is built for the purpose of 3D modelling. The system outputs are 3D shapes of the face and also the texture information registered to this shape. Although the system in this thesis is developed for face reconstruction, it is not specific to
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ALVES, GABRIEL TAVARES MALIZIA. "A STUDY OF TECHNIQUES FOR SHAPE ACQUISITION USING STEREO AND STRUCTURED LIGHT AIMED FOR ENGINEERING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6951@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Há uma crescente demanda pela criação de modelos computacionais representativos de objetos reais para projetos de engenharia. Uma alternativa barata e eficaz consiste na utilização de técnicas de Visão Computacional baseada em câmeras e projetores disponíveis no mercado de computadores pessoais. Este trabalho avalia um sistema óptico estéreo ativo para capturar formas geométricas de objetos utilizando um par de câmeras e um projetor digital. O sistema se baseia em idéias de trabalhos anteriores, com duas contribuições nesta
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Dikmen, Mehmet. "3d Face Reconstruction Using Stereo Vision." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607543/index.pdf.

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3D face modeling is currently a popular area in Computer Graphics and Computer Vision. Many techniques have been introduced for this purpose, such as using one or more cameras, 3D scanners, and many other systems of sophisticated hardware with related software. But the main goal is to find a good balance between visual reality and the cost of the system. In this thesis, reconstruction of a 3D human face from a pair of stereo cameras is studied. Unlike many other systems, facial feature points are obtained automatically from two photographs with the help of a dot pattern projected on the object
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Zhang, Yujia. "A Structured Light Based 3D Reconstruction Using Combined Circular Phase Shifting Patterns." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1546488253821736.

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Beermann, Rüdiger [Verfasser]. "Structured Light Sensor with Affine Stereo Camera Pair for Geometry Measurements of High-Temperature Components in Rough Vacuum / Rüdiger Beermann." Garbsen : TEWISS - Technik und Wissen GmbH, 2021. http://d-nb.info/1229012583/34.

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Zhang, Haolin. "3D surface shape measurement using stereoscopic camera based structured light systems." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/670112.

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La mesura estructurada de la llum ens permet obtenir una forma tridimensional de superfície d’un objecte amb una gran precisió. Així, troba aplicacions àmplies en aplicacions industrials. A més, projectant patrons de franja digital a l’objecte mesurat, la llum estructurada garanteix una mesura de superfície flexible. D’ altra banda, la llum estructurada també ens permet mesurar tant objectes especulars com objectes difusors. Per a la mesura d’ objectes especulars, s’ introdueix la deflectometria. Aquí, els patrons de serrells són generats per una pantalla de cristall líquid (LCD). Per a la mes
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Agresti, Gianluca. "Data Driven Approaches for Depth Data Denoising." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3422722.

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The scene depth is an important information that can be used to retrieve the scene geometry, a missing element in standard color images. For this reason, the depth information is usually employed in many applications such as 3D reconstruction, autonomous driving and robotics. The last decade has seen the spread of different commercial devices able to sense the scene depth. Among these, Time-of-Flight (ToF) cameras are becoming popular because they are relatively cheap and they can be miniaturized and implemented on portable devices. Stereo vision systems are the most widespread 3D senso
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"Catadioptric stereo based on structured light projection." Universitat de Girona, 2006. http://www.tesisenxarxa.net/TDX-1002106-114403/.

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Lu, Chien-Te, and 呂建德. "Research of Automatic 3D Stereo Object Scanning System Based on Structured Light." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/83877284917144031514.

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碩士<br>中華大學<br>資訊工程學系(所)<br>97<br>This paper provides an approach to scanning a real object by Structured Light and reach 3D coordinate by digital camera and DLP projector. Camera shoots composes by lens and it brings the image distortion of capturing picture. Therefore, we must use non-linear correction to solve this issue. The image must be corrected before calculating the 3D coordinate of objects. Moreover, Color distortion is also happened on common projectors. Colors of projector are composed with base-colors which filtered by Color Wheel. Some colors are not perfect with the RGB ratio fro
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Book chapters on the topic "Structured-light-stereo"

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Alhwarin, Faraj, Alexander Ferrein, and Ingrid Scholl. "IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13560-1_33.

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Amor, Boulbaba Ben, Mohsen Ardabilian, and Liming Chen. "3D Face Modeling Based on Structured-Light Assisted Stereo Sensor." In Image Analysis and Processing – ICIAP 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_103.

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Ma, Shiwei, Yujie Shen, Junfen Qian, Hui Chen, Zhonghua Hao, and Lei Yang. "Binocular Structured Light Stereo Matching Approach for Dense Facial Disparity Map." In AI 2011: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25832-9_56.

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Sablatnig, Robert, and Christian Menard. "Stereo and Structured Light as Acquisition Methods in the Field of Archaeology." In Mustererkennung 1992. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77785-1_52.

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Visentini-Scarzanella, Marco, Tatsuya Hanayama, Ryunosuke Masutani, et al. "Tissue Shape Acquisition with a Hybrid Structured Light and Photometric Stereo Endoscopic System." In Computer-Assisted and Robotic Endoscopy. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29965-5_5.

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Okazaki, Tomoya, Takayuki Okatani, and Koichiro Deguchi. "Shape Reconstruction by Combination of Structured-Light Projection and Photometric Stereo Using a Projector-Camera System." In Advances in Image and Video Technology. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92957-4_36.

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Ribera, Roger Blanco, Taeone Kim, Jinwoong Kim, and Namho Hur. "Dense Depth Map Acquisition System for 3DTV Applications Based on Active Stereo and Structured Light Integration." In Advances in Multimedia Information Processing - PCM 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10467-1_44.

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Wang, Yi, and KangShun Li. "Plant Leaf Area Measurement Using 3D Imaging: A Comparative Study Between Dynamic Structured Light Stereo and Time-of-Flight." In Machine Learning for Cyber Security. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-20102-8_44.

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Kak, A. C., K. L. Boyer, R. J. Safranek, and H. S. Yang. "Knowledge-Based Stereo and Structured Light for 3-D Robot Vision." In Techniques for 3-D Machine Perception. Elsevier, 1986. http://dx.doi.org/10.1016/b978-0-444-87901-1.50010-0.

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"Object Reconstruction Based on Computer Stereo Vision Using Structured Light Projection." In International Conference on Advanced Computer Theory and Engineering (ICACTE 2009). ASME Press, 2009. http://dx.doi.org/10.1115/1.802977.paper106.

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Conference papers on the topic "Structured-light-stereo"

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Wang, Zhiyuan, Bin Xue, and Zhicong Li. "Structured light stereo vision system research." In Conference on Optical Sensing and Imaging Technology, edited by Dong Liu, Xiangang Luo, Yadong Jiang, and Jin Lu. SPIE, 2020. http://dx.doi.org/10.1117/12.2579956.

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Orghidan, Radu, Joaquim Salvi, and El Mustapha Mouaddib. "Calibration of A Structured Light-Based Stereo Catadioptric Sensor." In 2003 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW). IEEE, 2003. http://dx.doi.org/10.1109/cvprw.2003.10084.

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Bevilacqua, M., G. Di Leo, M. Landi, et al. "A flexible stereo calibration for a structured-light profilometer." In 2013 IEEE International Conference on Industrial Technology (ICIT 2013). IEEE, 2013. http://dx.doi.org/10.1109/icit.2013.6505813.

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Ozenc, Ugur, Oguzhan Tastan, and M. Kemal Gullu. "3D object modeling by structured light and stereo vision." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7130383.

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Ozturk, Ahmet Oguz, Ugur Halici, Ilkay Ulusoy, and Erdem Akagunduz. "3D face reconstruction using stereo images and structured light." In 2008 IEEE 16th Signal Processing, Communication and Applications Conference (SIU). IEEE, 2008. http://dx.doi.org/10.1109/siu.2008.4632754.

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Massot-Campos, Miquel, Gabriel Oliver-Codina, Hashim Kemal, Yvan Petillot, and Francisco Bonin-Font. "Structured light and stereo vision for underwater 3D reconstruction." In OCEANS 2015 - Genova. IEEE, 2015. http://dx.doi.org/10.1109/oceans-genova.2015.7271433.

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Zhou, Qi, YongMing Yang, and ZhenZhou Wang. "Combing Structured Light Measurement Technology with Binocular Stereo Vision." In 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2017. http://dx.doi.org/10.1109/cyber.2017.8446499.

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Qi Zhou, Yongming Yang, and Zhenzhou Wang. "Combing structured light measurement technology with binocular stereo vision." In 2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP). IEEE, 2017. http://dx.doi.org/10.1109/optip.2017.8030700.

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Yuanming, Ding, Zhang Yongchao, Guo Bin, and Xu Weidong. "Study on Structured-light Stereo Vision Measurement Method under Low-light Environment." In 2015 AASRI International Conference on Circuits and Systems (CAS 2015). Atlantis Press, 2015. http://dx.doi.org/10.2991/cas-15.2015.64.

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Case, Steven K., and Jeffrey A. Jalkio. "3-D Inspection using Multi-Stripe Structured Light." In Machine Vision. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/mv.1985.wb5.

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A number of methods have been demonstrated for 3-D coordinate measurements of an image. These include time of flight, stereo matching, and structured light. Most commercially available systems employ structured light, as this technique affords the resolution and speed required for many industrial tasks. In this paper we discuss a structured light 3-D inspection system with the potential for high speed and no moving parts.
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