Using depth map algorithms to improve the quality of object identification on digital stereo images
For the first time experimentally investigated the use of a vision system using the technology of depth maps, infrared depth sensor, laser rangefinder, lidar to determine the relief and geometric dimensions of the object on digital stereo images, which allows continuous monitoring of the state of an...
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| Published in | Journal of physics. Conference series Vol. 1301; no. 1; pp. 12021 - 12024 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.10.2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1742-6588 1742-6596 1742-6596 |
| DOI | 10.1088/1742-6596/1301/1/012021 |
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| Abstract | For the first time experimentally investigated the use of a vision system using the technology of depth maps, infrared depth sensor, laser rangefinder, lidar to determine the relief and geometric dimensions of the object on digital stereo images, which allows continuous monitoring of the state of any process. Methods of digital image processing are presented. The main advantages of such systems are considered. |
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| AbstractList | For the first time experimentally investigated the use of a vision system using the technology of depth maps, infrared depth sensor, laser rangefinder, lidar to determine the relief and geometric dimensions of the object on digital stereo images, which allows continuous monitoring of the state of any process. Methods of digital image processing are presented. The main advantages of such systems are considered. |
| Author | Petryakov, A N Blagoveschensky, I G Shkapov, P M Blagoveschensky, V G |
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| Cites_doi | 10.1016/j.imavis.2011.09.007 10.1109/34.121792 10.1006/gmip.1998.0467 |
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| Copyright | Published under licence by IOP Publishing Ltd 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.1088/1742-6596/1301/1/012021 |
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| References | Hirschmuller (JPCS_1301_1_012021bib3) 2007 Huang (JPCS_1301_1_012021bib5) 1998; 60 Yamada (JPCS_1301_1_012021bib7) 2000 Demonceaux (JPCS_1301_1_012021bib1) 2011; 29 Blagoveschenskaya (JPCS_1301_1_012021bib9) 2015 Hongfeiet (JPCS_1301_1_012021bib2) 2008 Yamadaet (JPCS_1301_1_012021bib6) 2001; 55 Ishiguro (JPCS_1301_1_012021bib4) 1992; 14 JPCS_1301_1_012021bib8 Blagoveshchenskaya (JPCS_1301_1_012021bib12) 2009 Balyhin (JPCS_1301_1_012021bib10) 2017 Blagoveschenskaya (JPCS_1301_1_012021bib11) 2010 |
| References_xml | – start-page: 42 year: 2015 ident: JPCS_1301_1_012021bib9 article-title: Method for automatic quality assessment of food products on the basis of the theory of artificial neural networks publication-title: Food industry – start-page: 228 year: 2000 ident: JPCS_1301_1_012021bib7 article-title: Structure analysis of natural scenes using census transform and region competition – ident: JPCS_1301_1_012021bib8 – start-page: 768 year: 2010 ident: JPCS_1301_1_012021bib11 – year: 2007 ident: JPCS_1301_1_012021bib3 article-title: Stereo Processing by Semi-Global Matching and Mutual Information – volume: 29 start-page: 840 year: 2011 ident: JPCS_1301_1_012021bib1 article-title: Central catadioptric image processing with geodesic metric publication-title: Image Vis. Comput. doi: 10.1016/j.imavis.2011.09.007 – volume: 55 start-page: 151 year: 2001 ident: JPCS_1301_1_012021bib6 article-title: Generation of high-quality stereo panoramas using a three-camera panorama capturing system publication-title: J. Inst. Image Inf. Televis. – start-page: 377 year: 2008 ident: JPCS_1301_1_012021bib2 article-title: Immersive roaming of stereoscopic panorama – start-page: 60 year: 2017 ident: JPCS_1301_1_012021bib10 article-title: Architecture and the basic concept of intelligent expert system ofquality control of food publication-title: PI-Sheva industry – volume: 14 start-page: 257 year: 1992 ident: JPCS_1301_1_012021bib4 article-title: Omni-directional stereo publication-title: IEEE Trans. Pattern Anal. Mach. Intell doi: 10.1109/34.121792 – start-page: 281 year: 2009 ident: JPCS_1301_1_012021bib12 – volume: 60 start-page: 196 year: 1998 ident: JPCS_1301_1_012021bib5 publication-title: Panoramic stereo imaging system with automatic disparity warping and seaming Graphical Models Image Process doi: 10.1006/gmip.1998.0467 |
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| SubjectTerms | Algorithms automation confection Digital imaging Image processing Infrared detectors Infrared lasers Laser range finders organoleptic Physics quality control stereo technical vision Vision systems |
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| Title | Using depth map algorithms to improve the quality of object identification on digital stereo images |
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