Отрывок: It is worth noting that the indices of the subsys- tems of the subsystems of the upper and lower levels can be formed once. It will eliminate the downtime of the processors in further calculations of the solutions. Fig. 1 shows the general block diagram of the proposed algorithm and detailed diagrams of the algorithm stages, where Fig. 1a shows general block diagram, Fig. 1b demon- strates ...
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Fursov, V.A. | - |
dc.contributor.author | Gavrilov, A.V. | - |
dc.contributor.author | Goshin, Ye.V. | - |
dc.contributor.author | Pugachev, K.G. | - |
dc.date.accessioned | 2017-10-25 12:07:01 | - |
dc.date.available | 2017-10-25 12:07:01 | - |
dc.date.issued | 2017-08 | - |
dc.identifier | Dspace\SGAU\20171020\65762 | ru |
dc.identifier.citation | Fursov VA, Gavrilov AV, Goshin YeV, Pugachev KG. Conforming identification of the fundamental matrix in the image matching problem. Computer Optics 2017; 41(4). 559-563. | ru |
dc.identifier.uri | https://dx.doi.org/10.18287/2412-6179-2017-41-4-559-563 | - |
dc.identifier.uri | http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Conforming-identification-of-the-fundamental-matrix-in-image-matching-problem-65762 | - |
dc.description.abstract | The article considers the conforming identification of the fundamental matrix in the image matching problem. The method consists in the division of the initial overdetermined system into lesser dimensional subsystems. On these subsystems, a set of solutions is obtained, from which a subset of the most conforming solutions is defined. Then, on this subset the resulting solution is deduced. Since these subsystems are formed by all possible combinations of rows in the initial system, this method demonstrates high accuracy and stability, although it is computationally complex. A comparison with the methods of least squares, least absolute deviations, and the RANSAC method is drawn. | ru |
dc.description.sponsorship | This research was supported by the RF Ministry of Education and Science (Project # 2.7891.2017/6.7). | ru |
dc.language.iso | en | ru |
dc.publisher | Самарский университет | ru |
dc.relation.ispartofseries | 41;4 | - |
dc.subject | conforming identification | ru |
dc.subject | parallel algorithm | ru |
dc.subject | least squares method | ru |
dc.subject | least absolute deviations | ru |
dc.subject | epipolar geometry | ru |
dc.subject | projective geometry | ru |
dc.title | Conforming identification of the fundamental matrix in image matching problem | ru |
dc.type | Article | ru |
dc.textpart | It is worth noting that the indices of the subsys- tems of the subsystems of the upper and lower levels can be formed once. It will eliminate the downtime of the processors in further calculations of the solutions. Fig. 1 shows the general block diagram of the proposed algorithm and detailed diagrams of the algorithm stages, where Fig. 1a shows general block diagram, Fig. 1b demon- strates ... | - |
dc.classindex.scsti | 27.41.15 | - |
dc.classindex.scsti | 28.23.15 | - |
Располагается в коллекциях: | Журнал "Компьютерная оптика" |
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