{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T16:23:08Z","timestamp":1649002988263},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2014,10,22]],"date-time":"2014-10-22T00:00:00Z","timestamp":1413936000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1007\/s13042-014-0304-7","type":"journal-article","created":{"date-parts":[[2014,10,21]],"date-time":"2014-10-21T23:54:25Z","timestamp":1413935665000},"page":"983-993","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A cue integration method for anaglyph image partition"],"prefix":"10.1007","volume":"7","author":[{"given":"Qin","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guodong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiuzhen","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,10,22]]},"reference":[{"key":"304_CR1","volume-title":"Computer vision: a modern approach","author":"D Forsyth","year":"2003","unstructured":"Forsyth D, Ponce J (2003) Computer vision: a modern approach. Prentice Hall, New Jersey"},{"issue":"9","key":"304_CR2","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1109\/34.537343","volume":"18","author":"SC Zhu","year":"1996","unstructured":"Zhu SC, Yuille AL (1996) Region competition: unifying snakes, region growing, and bayes\/mdl for multiband image segmentation. IEEE PAMI 18(9):884\u2013900","journal-title":"IEEE PAMI"},{"issue":"8","key":"304_CR3","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE PAMI 22(8):888\u2013905","journal-title":"IEEE PAMI"},{"issue":"11","key":"304_CR4","doi-asserted-by":"crossref","first-page":"1222","DOI":"10.1109\/34.969114","volume":"23","author":"Y Boykov","year":"2001","unstructured":"Boykov Y, Veksler O, Zabih R (2001) Fast approximate energy minimization via graph cuts. IEEE TPAMI 23(11):1222\u20131239","journal-title":"IEEE TPAMI"},{"key":"304_CR5","doi-asserted-by":"crossref","unstructured":"Delong A, Osokin A, Isack H, Boykov Y (2012) Fast approximate energy minimization with label costs. IJCV 96(1):1\u201327","DOI":"10.1007\/s11263-011-0437-z"},{"issue":"5","key":"304_CR6","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2011","unstructured":"Arbelaez P, Maire M, Fowlkes C, Malik J (2011) Contour detection and hierarchical image segmentation. IEEE Trans Pattern Anal Mach Intell 33(5):898\u2013916","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"304_CR7","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1023\/B:VISI.0000022288.19776.77","volume":"59","author":"PF Felzenszwalb","year":"2004","unstructured":"Felzenszwalb PF, Huttenlocher DP (2004) Efficient graph-based image segmentation. Int J Comput Vis 59(2):167\u2013181","journal-title":"Int J Comput Vis"},{"issue":"5","key":"304_CR8","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D Comaniciu","year":"2002","unstructured":"Comaniciu D, Meer P (2002) Mean shift: a robust approach toward feature space analysis. IEEE PAMI 24(5):603\u2013619","journal-title":"IEEE PAMI"},{"issue":"4","key":"304_CR9","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1007\/s13042-013-0205-1","volume":"5","author":"A De","year":"2014","unstructured":"De A, Guo C (2014) An image segmentation method based on the fusion of vector quantization and edge detection with applications to medical image processing. Int J Mach Learn Cybern 5(4):543\u2013551","journal-title":"Int J Mach Learn Cybern"},{"key":"304_CR10","doi-asserted-by":"publisher","unstructured":"Ma J, Tian D, Gong M, Jiao L (2014) Fuzzy clustering with non-local information for image segmentation. Int J Mach Learn Cybern. doi: 10.1007\/s13042-014-0227-3","DOI":"10.1007\/s13042-014-0227-3"},{"key":"304_CR11","doi-asserted-by":"crossref","unstructured":"Zhang C, Wang L, Yang R (2010) Semantic segmentation of urban scenes using dense depth maps. In: Daniilidis K, Maragos P, Paragios N (eds) ECCV (4), volume 6314 of Lecture Notes in Computer Science. Springer, pp 708\u2013721","DOI":"10.1007\/978-3-642-15561-1_51"},{"key":"304_CR12","doi-asserted-by":"crossref","unstructured":"Silberman N, Hoiem D, Kohli P, Fergus R (2012) Indoor segmentation and support inference from rgbd images. In: Fitzgibbon AW, Lazebnik S, Perona P, Sato Y, Schmid C (eds) ECCV (5), volume 7576 of Lecture Notes in Computer Science. Springer, pp 746\u2013760","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"304_CR13","doi-asserted-by":"crossref","unstructured":"Zhang Q, Liu S, An P, Zhang Z (2009) Object segmentation based on disparity estimation. In: GEC \u201909: Proceedings of the first ACM\/SIGEVO summit on genetic and evolutionary computation. ACM, New York, pp 1053\u20131056","DOI":"10.1145\/1543834.1544006"},{"key":"304_CR14","unstructured":"Chi L, Guo L, Yu L, Chen Y (2010) Object segmentation based on accurate disparity estimation. In: 2010 2nd international conference on information science and engineering (ICISE). IEEE, pp 4609\u20134612"},{"key":"304_CR15","unstructured":"Gu D, Zhao Y, Yuan Y, Hu G (2012) Human segmentation based on disparity map and grabcut. In: 2012 international conference on computer vision in remote sensing (CVRS). IEEE, pp 67\u201371"},{"issue":"6","key":"304_CR16","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1002\/andp.18531650614","volume":"165","author":"W Rollmann","year":"1853","unstructured":"Rollmann W (1853) Notiz zur stereoskopie. Annalen der Physik 165(6):350\u2013351","journal-title":"Annalen der Physik"},{"key":"304_CR17","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1088\/1464-4258\/7\/12\/008","volume":"7","author":"I Ideses","year":"2005","unstructured":"Ideses I, Yaroslavsky L (2005) Three methods that improve the visual quality of color anaglyphs. J Optics A Pure Appl Optics 7:755\u2013762","journal-title":"J Optics A Pure Appl Optics"},{"key":"304_CR18","doi-asserted-by":"crossref","unstructured":"Li S, Ma L, Ngi Ngan K (2013) Anaglyph image generation by matching color appearance attributes. Signal Process Image Commun 28(6):597C607","DOI":"10.1016\/j.image.2013.03.004"},{"key":"304_CR19","doi-asserted-by":"crossref","unstructured":"Lu Z, ur Rehman S, Sikandar Lal Khan M, Li H (2013) Anaglyph 3D stereoscopic visualization of 2D video based on fundamental matrix. In: Proceedings of 2013 international conference on virtual reality and visualization (ICVRV 2013). IEEE, pp 305\u2013308","DOI":"10.1109\/ICVRV.2013.59"},{"issue":"1","key":"304_CR20","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/BF03181917","volume":"11","author":"F Matsuura","year":"2008","unstructured":"Matsuura F, Fujisawa N (2008) Anaglyph stereo visualization by the use of a single image and depth information. J Visual 11(1):79\u201386","journal-title":"J Visual"},{"key":"304_CR21","doi-asserted-by":"crossref","unstructured":"Zingarelli MRU, Antonio de Andrade L, Goularte R (2012) Revglyph: a technique for reverting anaglyph stereoscopic videos. In: SAC 2012, pp 1005\u20131011","DOI":"10.1145\/2245276.2245470"},{"key":"304_CR22","doi-asserted-by":"crossref","unstructured":"Joulin A, Kang SB (2013) Recovering stereo pairs from anaglyphs. In: CVPR. IEEE, pp 289\u2013296","DOI":"10.1109\/CVPR.2013.44"},{"key":"304_CR23","doi-asserted-by":"crossref","unstructured":"Gallagher A (2010) Detecting anaglyph images with channel alignment features. In: ICIP, pp 2985\u20132988","DOI":"10.1109\/ICIP.2010.5649243"},{"key":"304_CR24","volume-title":"History of psychology","author":"D Hothersall","year":"2003","unstructured":"Hothersall D (2003) History of psychology. McGraw-Hill, New York"},{"key":"304_CR25","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/S0959-4388(03)00042-4","volume":"13","author":"D Kersten","year":"2003","unstructured":"Kersten D, Yuille AL (2003) Bayesian models of object perception. Curr Opin Neurobiol 13:150\u2013158","journal-title":"Curr Opin Neurobiol"},{"key":"304_CR26","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1023\/A:1014573219977","volume":"47","author":"D Scharstein","year":"2002","unstructured":"Scharstein D, Szeliski R (2002) A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV 47:7\u201342","journal-title":"IJCV"},{"key":"304_CR27","doi-asserted-by":"crossref","unstructured":"Klaus A, Sormann M, Karner K (2006) Segment-based stereo matching using belief propagation and a self-adapting dissimilarity measure. In: ICPR, pp 15\u201318","DOI":"10.1109\/ICPR.2006.1033"},{"key":"304_CR28","first-page":"288","volume":"5665","author":"M Bleyer","year":"2005","unstructured":"Bleyer M, Gelautz M (2005) Graph-based surface reconstruction from stereo pairs using image segmentation. SPIE Symp Electron Imaging (Videometrics VIII) 5665:288\u2013299","journal-title":"SPIE Symp Electron Imaging (Videometrics VIII)"},{"key":"304_CR29","unstructured":"Felzenszwalb PF, Huttenlocher DP (2004) Efficient belief propogation for early vision. In: CVPR, pp 261\u2013268"},{"key":"304_CR30","doi-asserted-by":"crossref","unstructured":"Ladicky L et al (2010) What, where & how many? Combining object detectors and crfs\u2019. In: ECCV, pp 424\u2013437","DOI":"10.1007\/978-3-642-15561-1_31"},{"key":"304_CR31","doi-asserted-by":"crossref","unstructured":"Gould S, Fulton R, Koller D (2009) Decomposing a scene into geometric and semantically consistent regions. In: ICCV, pp 1\u20138","DOI":"10.1109\/ICCV.2009.5459211"},{"key":"304_CR32","unstructured":"Hoiem D, Rother C, Winn J (2007) 3D layout CRF for multi-view object class recognition and segmentation. In: CVPR, pp 1\u20138"},{"key":"304_CR33","doi-asserted-by":"crossref","unstructured":"Shotton J, Winn J, Rother C, Criminisi A (2006) Textonboost: joint appearance, shape and context modeling for multi-class object recognition and segmentation. In: ECCV, pp 1\u201315","DOI":"10.1007\/11744023_1"},{"key":"304_CR34","doi-asserted-by":"crossref","unstructured":"Ladicky L et al (2010) Joint optimisation for object class segmentation and dense stereo reconstruction. In: IJCV 100(2):122\u2013133","DOI":"10.5244\/C.24.104"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0304-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-014-0304-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0304-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0304-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T10:31:16Z","timestamp":1559471476000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-014-0304-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10,22]]},"references-count":34,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["304"],"URL":"https:\/\/doi.org\/10.1007\/s13042-014-0304-7","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,10,22]]}}}