{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T22:35:58Z","timestamp":1764714958536,"version":"3.37.3"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T00:00:00Z","timestamp":1587945600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T00:00:00Z","timestamp":1587945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"GIST Research Institut","award":["GIST in 2019"],"award-info":[{"award-number":["GIST in 2019"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s00138-020-01076-3","type":"journal-article","created":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T16:48:05Z","timestamp":1588006085000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Parameter selection framework for stereo correspondence"],"prefix":"10.1007","volume":"31","author":[{"given":"Phuc Hong","family":"Nguyen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9902-5966","authenticated-orcid":false,"given":"Chang Wook","family":"Ahn","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,27]]},"reference":[{"key":"1076_CR1","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn, R., Price, K.: Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 11, 341\u2013359 (1997)","journal-title":"J. Glob. Optim."},{"key":"1076_CR2","volume-title":"Adaptation in Natural and Artificial Systems","author":"JH Holland","year":"1975","unstructured":"Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)"},{"key":"1076_CR3","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. IEEE International Conference on Neural Networks 1942\u20131948 (1995)"},{"key":"1076_CR4","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/TEVC.2002.1011539","volume":"6","author":"NC Leandro","year":"2002","unstructured":"Leandro, N.C., Von Zuben, F.J.: Learning and optimization using the clonal selection principle. IEEE Trans. Evolut. Comput. 6, 239\u2013251 (2002)","journal-title":"IEEE Trans. Evolut. Comput."},{"key":"1076_CR5","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (abc) algorithm. J. Glob. Optim. 39, 459\u2013471 (2007)","journal-title":"J. Glob. Optim."},{"key":"1076_CR6","doi-asserted-by":"crossref","unstructured":"Tanabe, R., Fukunaga, A.S.: Improving the search performance of shade using linear population size reduction. In: 2014 IEEE Congress on Evolutionary Computation (CEC). 1658\u20131665 (2014)","DOI":"10.1109\/CEC.2014.6900380"},{"key":"1076_CR7","doi-asserted-by":"crossref","unstructured":"Brest, J., Mau\u010dec, M.S., Bo\u0161kovi\u0107, B.: Single objective real-parameter optimization: Algorithm jso. In: 2017 IEEE Congress on Evolutionary Computation (CEC). 1311\u20131318 (2017)","DOI":"10.1109\/CEC.2017.7969456"},{"key":"1076_CR8","unstructured":"Claesen, M., Moor, B.D.: Hyperparameter search in machine learning. CoRR arxiv:1502.02127 (2015)"},{"issue":"4","key":"1076_CR9","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1109\/TPAMI.2010.136","volume":"33","author":"YS Heo","year":"2011","unstructured":"Heo, Y.S., Lee, K.M., Lee, S.U.: Robust stereo matching using adaptive normalized cross-correlation. IEEE Trans. Pattern Anal. Mach. Intell. 33(4), 807\u2013822 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"1076_CR10","doi-asserted-by":"publisher","first-page":"1421","DOI":"10.1109\/TCSVT.2016.2539738","volume":"27","author":"VQ Dinh","year":"2017","unstructured":"Dinh, V.Q., Pham, C.C., Jeon, J.W.: Robust adaptive normalized cross-correlation for stereo matching cost computation. IEEE Trans. Circuits Syst. Video Technol. 27(7), 1421\u20131434 (2017)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1076_CR11","unstructured":"Felzenszwalb, P.F., Huttenlocher, D.R.: Efficient belief propagation for early vision. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. Volume\u00a01. I\u2013261\u2013I\u2013268 Vol. 1 (2004)"},{"key":"1076_CR12","unstructured":"Itseez: The OpenCV Reference Manual. 2.4.9.0 edn. (2014)"},{"key":"1076_CR13","unstructured":"Geiger, A., Roser, M., Urtasun, R.: Efficient large-scale stereo matching. In: Asian Conference on Computer Vision (ACCV). (2010)"},{"issue":"1","key":"1076_CR14","first-page":"2287","volume":"17","author":"J \u017dbontar","year":"2016","unstructured":"\u017dbontar, J., LeCun, Y.: Stereo matching by training a convolutional neural network to compare image patches. J. Mach. Learn. Res. 17(1), 2287\u20132318 (2016)","journal-title":"J. Mach. Learn. Res."},{"key":"1076_CR15","unstructured":"Luo, W., Schwing, A.G., Urtasun, R.: Efficient deep learning for stereo matching. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (2016) 5695\u20135703"},{"issue":"1","key":"1076_CR16","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1023\/A:1014573219977","volume":"47","author":"D Scharstein","year":"2002","unstructured":"Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. J. Comput. Vis. 47(1), 7\u201342 (2002)","journal-title":"Int. J. Comput. Vis."},{"key":"1076_CR17","doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? the kitti vision benchmark suite. In: Conference on Computer Vision and Pattern Recognition (CVPR). (2012)","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"1076_CR18","doi-asserted-by":"crossref","unstructured":"Menze, M., Geiger, A.: Object scene flow for autonomous vehicles. In: Conference on Computer Vision and Pattern Recognition (CVPR). (2015)","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"1076_CR19","doi-asserted-by":"crossref","unstructured":"Menze, M., Heipke, C., Geiger, A.: Joint 3d estimation of vehicles and scene flow. In: ISPRS Workshop on Image Sequence Analysis (ISA). (2015)","DOI":"10.5194\/isprsannals-II-3-W5-427-2015"},{"issue":"12","key":"1076_CR20","doi-asserted-by":"publisher","first-page":"3411","DOI":"10.1364\/AO.56.003411","volume":"56","author":"L Li","year":"2017","unstructured":"Li, L., Yu, X., Zhang, S., Zhao, X., Zhang, L.: 3d cost aggregation with multiple minimum spanning trees for stereo matching. Appl. Opt. 56(12), 3411\u20133420 (2017)","journal-title":"Appl. Opt."},{"key":"1076_CR21","doi-asserted-by":"crossref","unstructured":"Kim, K.R., Kim, C.S.: Adaptive smoothness constraints for efficient stereo matching using texture and edge information. In: 2016 IEEE International Conference on Image Processing (ICIP). 3429\u20133433 (2016)","DOI":"10.1109\/ICIP.2016.7532996"},{"issue":"1","key":"1076_CR22","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/s41074-016-0013-0","volume":"9","author":"S Nahar","year":"2017","unstructured":"Nahar, S., Joshi, M.V.: A learned sparseness and igmrf-based regularization framework for dense disparity estimation using unsupervised feature learning. IPSJ Trans. Comput. Vis. Appl. 9(1), 2 (2017)","journal-title":"IPSJ Trans. Comput. Vis. Appl."},{"key":"1076_CR23","unstructured":"Wang, Y., Wang, K., Dunn, E., Frahm, J. In: Stereo under sequential optimal sampling: A statistical analysis framework for search space reduction. IEEE Computer Society, United States (2014) 485\u2013492"},{"issue":"1","key":"1076_CR24","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1109\/TCSVT.2012.2203200","volume":"23","author":"J Kowalczuk","year":"2013","unstructured":"Kowalczuk, J., Psota, E.T., Perez, L.C.: Real-time stereo matching on cuda using an iterative refinement method for adaptive support-weight correspondences. IEEE Trans. Circuits Syst. Video Technol. 23(1), 94\u2013104 (2013)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"1","key":"1076_CR25","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1023\/A:1014554110407","volume":"47","author":"H Hirschm\u00fcller","year":"2002","unstructured":"Hirschm\u00fcller, H., Innocent, P.R., Garibaldi, J.: Real-time correlation-based stereo vision with reduced border errors. Int. J. Comput. Vis. 47(1), 229\u2013246 (2002)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"1076_CR26","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TCSVT.2016.2628782","volume":"28","author":"L Li","year":"2018","unstructured":"Li, L., Zhang, S., Yu, X., Zhang, L.: Pmsc: Patchmatch-based superpixel cut for accurate stereo matching. IEEE Trans. Circuits Syst. Video Technol. 28(3), 679\u2013692 (2018)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1076_CR27","doi-asserted-by":"crossref","unstructured":"Psota, E.T., Kowalczuk, J., Mittek, M., Perez, L.C.: Map disparity estimation using hidden markov trees. In: Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV). ICCV \u201915, Washington, DC, USA, IEEE Computer Society 2219\u20132227 (2015)","DOI":"10.1109\/ICCV.2015.256"},{"issue":"2","key":"1076_CR28","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1109\/TIP.2017.2752370","volume":"27","author":"F Zhang","year":"2018","unstructured":"Zhang, F., Wah, B.W.: Fundamental principles on learning new features for effective dense matching. IEEE Trans. Image Process. 27(2), 822\u2013836 (2018)","journal-title":"IEEE Trans. Image Process."},{"issue":"Complete","key":"1076_CR29","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.isprsjprs.2014.02.006","volume":"91","author":"C Stentoumis","year":"2014","unstructured":"Stentoumis, C., Grammatikopoulos, L., Kalisperakis, I., Karras, G.: On accurate dense stereo-matching using a local adaptive multi-cost approach. ISPRS J. Photogramm. Remote Sens. 91(Complete), 29\u201349 (2014)","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"1076_CR30","doi-asserted-by":"crossref","unstructured":"Knobelreiter, P., Reinbacher, C., Shekhovtsov, A., Pock, T.: End-to-end training of hybrid cnn-crf models for stereo. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (2017)","DOI":"10.1109\/CVPR.2017.159"},{"key":"1076_CR31","unstructured":"Michael, M., Salmen, J., Stallkamp, J., Schlipsing, M.: Real-time stereo vision: optimizing semi-global matching"},{"issue":"2","key":"1076_CR32","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1109\/TPAMI.2007.1166","volume":"30","author":"H Hirschmuller","year":"2008","unstructured":"Hirschmuller, H.: Stereo processing by semiglobal matching and mutual information. IEEE Trans. Pattern Anal. Mach. Intell. 30(2), 328\u2013341 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1076_CR33","unstructured":"Cheung, E.C.H., Wong, J., Chan, J., Pan, J.: Optimization-based automatic parameter tuning for stereo vision. In: 2015 IEEE International Conference on Automation Science and Engineering (CASE). (2015) 855\u2013861"},{"key":"1076_CR34","unstructured":"Nizan\u00a0Nasroddin, S., Mokji, M., Kok, T., Zainal\u00a0Abidin, A.F., Amirulah, R., Anis\u00a0Nordin, N., Hasim, S., Zakaria, H., Hassan, J., Jaafar, H.I., Osman, K.: Application of particle swarm optimization in optimizing stereo matching algorithm\u2019s parameters for star fruit inspection system. (2014)"},{"key":"1076_CR35","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1007\/978-3-540-88682-2_56","volume-title":"Computer Vision\u2014ECCV 2008","author":"A Wedel","year":"2008","unstructured":"Wedel, A., Rabe, C., Vaudrey, T., Brox, T., Franke, U., Cremers, D.: Efficient dense scene flow from sparse or dense stereo data. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) Computer Vision\u2014ECCV 2008, pp. 739\u2013751. Springer, Berlin (2008)"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-020-01076-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-020-01076-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-020-01076-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T23:19:55Z","timestamp":1619479195000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-020-01076-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,27]]},"references-count":35,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["1076"],"URL":"https:\/\/doi.org\/10.1007\/s00138-020-01076-3","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"type":"print","value":"0932-8092"},{"type":"electronic","value":"1432-1769"}],"subject":[],"published":{"date-parts":[[2020,4,27]]},"assertion":[{"value":"20 February 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 January 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 March 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"27"}}