{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T16:36:46Z","timestamp":1772296606395,"version":"3.50.1"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2006,5,1]],"date-time":"2006-05-01T00:00:00Z","timestamp":1146441600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Comput Vision"],"published-print":{"date-parts":[[2006,9]]},"DOI":"10.1007\/s11263-006-7533-5","type":"journal-article","created":{"date-parts":[[2006,5,22]],"date-time":"2006-05-22T10:02:53Z","timestamp":1148292173000},"page":"335-351","source":"Crossref","is-referenced-by-count":281,"title":["Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation"],"prefix":"10.1007","volume":"69","author":[{"given":"Daniel","family":"Cremers","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stanley J.","family":"Osher","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Soatto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2006,5,1]]},"reference":[{"key":"7533_CR1","doi-asserted-by":"crossref","first-page":"2365","DOI":"10.1016\/S0042-6989(98)00043-1","volume":"38","author":"R. Basri","year":"1998","unstructured":"Basri, R., Costa, L., Geiger, D., and Jacobs D. 1998. Determining the similarity of deformable shapes. Vision Research, 38:2365\u20132385.","journal-title":"Vision Research"},{"key":"7533_CR2","doi-asserted-by":"crossref","unstructured":"Bresson, X., Vandergheynst, P., and Thirau, J.P. 2003. A priori information in image segmentation: Energy functional based on shape statistical model and image information. In Proc. IEEE Int. Conf. Image Processing, pp. 425\u2013428.","DOI":"10.1109\/ICIP.2003.1247272"},{"key":"7533_CR3","volume-title":"European Conf. on Computer Vision, volume 3022 of Lect. Not. Comp. Sci.","author":"T. Brox","year":"2004","unstructured":"Brox, T. and Weickert, J. 2004. A TV flow based local scale measure for texture discrimination. In (eds.), T.Pajdla and V.Hlavac European Conf. on Computer Vision, volume 3022 of Lect. Not. Comp. Sci., Prague, Springer."},{"key":"7533_CR4","doi-asserted-by":"crossref","unstructured":"Caselles, V., Kimmel, R., and Sapiro, G. 1995. Geodesic active contours. In Proc. IEEE Intl. Conf. on Comp. Vis., pages 694\u2013699, Boston, USA pp. 694\u2013699..","DOI":"10.1109\/ICCV.1995.466871"},{"key":"7533_CR5","volume-title":"Computational Applied Mathematics","author":"T. Chan","year":"2003","unstructured":"Chan, T. and Zhu, W. 2003. Level set based shape prior segmentation. Technical Report 03-66, Computational Applied Mathematics, UCLA, Los Angeles."},{"issue":"2","key":"7533_CR6","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"T.F. Chan","year":"2001","unstructured":"Chan, T.F. and Vese, L.A. 2001. Active contours without edges. IEEE Trans. Image Processing, 10(2):266\u2013277.","journal-title":"IEEE Trans. Image Processing"},{"issue":"1","key":"7533_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10208-003-0094-x","volume":"5","author":"G. Charpiat","year":"2005","unstructured":"Charpiat, G., Faugeras, O., and Keriven, R. 2005. Approximations of shape metrics and application to shape warping and empirical shape statistics. Journal of Foundations Of Computational Mathematics, 5(1):1\u201358.","journal-title":"Journal of Foundations Of Computational Mathematics"},{"issue":"3","key":"7533_CR8","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1023\/A:1020878408985","volume":"50","author":"Y. Chen","year":"2002","unstructured":"Chen, Y., Tagare, H., Thiruvenkadam, S., Huang, F., Wilson, D., Gopinath, K.S., Briggs, R.W., and Geiser, E. 2002. Using shape priors in geometric active contours in a variational framework. Int.J.ofComputer Vision, 50(3):315\u2013328.","journal-title":"Int.J.ofComputer Vision"},{"key":"7533_CR9","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1214\/aos\/1176346053","volume":"11","author":"L.D. Wu","year":"1983","unstructured":"Chow, Y.S., Geman, S., and Wu, L.D. 1983. Consistent cross-validated density estimation. Annals of Statistics, 11:25\u201338.","journal-title":"Annals of Statistics"},{"issue":"1","key":"7533_CR10","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1006\/cviu.1995.1004","volume":"61","author":"T.F. Cootes","year":"1995","unstructured":"Cootes, T.F., Taylor, C.J., Cooper, D.M., and Graham, J. 1995. Active shape models\u2013their training and application. Comp.Vision Image Underst., 61(1):38\u201359.","journal-title":"Comp.Vision Image Underst."},{"issue":"8","key":"7533_CR11","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1016\/S0262-8856(98)00175-9","volume":"17","author":"T.F. Cootes","year":"1999","unstructured":"Cootes T.F. and Taylor C.J. 1999. A mixture model for representing shape variation. Image and Vision Computing, 17(8):567\u2013574.","journal-title":"Image and Vision Computing"},{"key":"7533_CR12","doi-asserted-by":"crossref","unstructured":"Cremers, D. 2006. Dynamical statistical shape priors for level set based tracking. IEEE Trans. on Patt. Anal. and Mach. Intell.. To appear.","DOI":"10.1109\/TPAMI.2006.161"},{"issue":"9","key":"7533_CR13","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1016\/S0031-3203(03)00056-6","volume":"36","author":"D. Cremers","year":"2003","unstructured":"Cremers, D., Kohlberger, T., and Schn\u00f6rr, C. 2003. Shape statistics in kernel space for variational image segmentation. Pattern Recognition, 36(9):1929\u20131943.","journal-title":"Pattern Recognition"},{"key":"7533_CR14","doi-asserted-by":"crossref","unstructured":"Cremers, D., Osher, S., and Soatto, S. 2004. Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk. In Pattern Recogn., volume 3175 of Lect. Not. Comp. Sci., pp. 36\u201344. Springer, C.E. Rasmussen (ed.).","DOI":"10.1007\/978-3-540-28649-3_5"},{"key":"7533_CR15","unstructured":"Cremers, D. and Soatto, S. 2003. A pseudo-distance for shape priors in level set segmentation. In, IEEE 2nd Int. Workshop on Variational, Geometric and Level Set Methods, N.Paragios (eds.), Nice, pp. 169\u2013176."},{"issue":"3","key":"7533_CR16","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s11263-005-4882-4","volume":"62","author":"D. Cremers","year":"May 2005","unstructured":"Cremers, D. and Soatto, S. May 2005. Motion Competition: A variational framework for piecewise parametric motion segmentation. Int.J.ofComputer Vision, 62(3):249\u2013265.","journal-title":"Int.J.ofComputer Vision"},{"key":"7533_CR17","doi-asserted-by":"crossref","unstructured":"Cremers, D., Sochen, N., and Schn\u00f6rr, C. 2003. Towards recognition-based variational segmentation using shape priors and dynamic labeling. In, Int. Conf. on Scale Space Theories in Computer Vision, volume 2695 of Lect. Not. Comp. Sci., L.Griffith, editor, pp. 388\u2013400, Isle of Skye, Springer.","DOI":"10.1007\/3-540-44935-3_27"},{"issue":"1","key":"7533_CR18","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1007\/s11263-005-3676-z","volume":"66","author":"D. Cremers","year":"2006","unstructured":"Cremers, D., Sochen, N., and Schn\u00f6rr, C. 2006. A multiphase dynamic labeling model for variational recognition-driven image segmentation. Int.J.ofComputer Vision, 66(1):67\u201381.","journal-title":"Int.J.ofComputer Vision"},{"issue":"3","key":"7533_CR19","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1023\/A:1020826424915","volume":"50","author":"D. Cremers","year":"2002","unstructured":"Cremers, D., Tischh\u00e4user, F., Weickert, J., and Schn\u00f6rr, C. 2002. Diffusion Snakes: Introducing statistical shape knowledge into the Mumford\u2014Shah functional. Int.J.ofComputer Vision, 50(3):295\u2013313.","journal-title":"Int.J.ofComputer Vision"},{"key":"7533_CR20","first-page":"5","volume":"25","author":"P. Deheuvels","year":"1977","unstructured":"Deheuvels, P. 1977. Estimation non param\u00e9trique de la densit\u00e9 par histogrammes g\u00e9n\u00e9ralis\u00e9s. Revue de Statistique Appliqu\u00e9e, 25:5\u201342.","journal-title":"Revue de Statistique Appliqu\u00e9e"},{"key":"7533_CR21","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1007\/BFb0086904","volume":"771","author":"A. Dervieux","year":"1979","unstructured":"Dervieux, A. and Thomasset, F. 1979. A finite element method for the simulation of Raleigh-Taylor instability. Springer Lect. Notes in Math., 771:145\u2013158.","journal-title":"Springer Lect. Notes in Math."},{"key":"7533_CR22","volume-title":"The L1 View","author":"L. Devroye","year":"1985","unstructured":"Devroye, L. and Gy\u00f6rfi, L. 1985. Nonparametric Density Estimation. The L1 View. John Wiley, New York."},{"key":"7533_CR23","volume-title":"Statistical Shape Analysis","author":"I.L. Dryden","year":"1998","unstructured":"Dryden, I.L. and Mardia, K.V. 1998. Statistical Shape Analysis. Wiley, Chichester."},{"key":"7533_CR24","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1109\/TC.1976.1674577","volume":"25","author":"R.P.W. Duin","year":"1976","unstructured":"Duin, R.P.W. 1976. On the choice of smoothing parameters for Parzen estimators of probability density functions. IEEE Trans. on Computers, 25:1175\u20131179.","journal-title":"IEEE Trans. on Computers"},{"key":"7533_CR25","first-page":"499","volume":"38","author":"M. Fr\u00e9chet","year":"1961","unstructured":"Fr\u00e9chet, M. 1961. Les courbes al\u00e9atoires. Bull. Inst. Internat. Stat., 38:499\u2013504.","journal-title":"Bull. Inst. Internat. Stat."},{"issue":"12","key":"7533_CR26","doi-asserted-by":"crossref","first-page":"1312","DOI":"10.1109\/34.817410","volume":"21","author":"Y. Gdalyahu","year":"1999","unstructured":"Gdalyahu, Y. and Weinshall, D. 1999. Flexible syntactic matching of curves and its application to automatic hierarchical classication of silhouettes. IEEE Trans. on Patt. Anal. and Mach. Intell., 21(12):1312\u20131328.","journal-title":"IEEE Trans. on Patt. Anal. and Mach. Intell."},{"key":"7533_CR27","volume-title":"Lectures in Pattern Theory","author":"U. Grenander","year":"1976","unstructured":"Grenander, U. 1976. Lectures in Pattern Theory. Springer, Berlin."},{"key":"7533_CR28","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-3046-5","volume-title":"Hands: A Pattern Theoretic Study of Biological Shapes","author":"U. Grenander","year":"1991","unstructured":"Grenander, U., Chow, Y., and Keenan, D.M. 1991. Hands: A Pattern Theoretic Study of Biological Shapes. Springer, New York."},{"key":"7533_CR29","unstructured":"Heiler, M. and Schn\u00f6rr, C. 2003. Natural image statistics for natural image segmentation. In IEEE Int. Conf. on Computer Vision, pp. 1259\u20131266."},{"key":"7533_CR30","doi-asserted-by":"crossref","first-page":"428","DOI":"10.2307\/1426091","volume":"9","author":"D.G. Kendall","year":"1977","unstructured":"Kendall, D.G. 1977. The diffusion of shape. Advances in Applied Probability, 9:428\u2013430.","journal-title":"Advances in Applied Probability"},{"key":"7533_CR31","doi-asserted-by":"crossref","unstructured":"Kichenassamy, S., Kumar, A., Olver, P.J., Tannenbaum, A., and Yezzi, A.J. 1995. Gradient flows and geometric active contour models. In IEEE Int. Conf. on Computer Vision, pp. 810\u2013815.","DOI":"10.1109\/ICCV.1995.466855"},{"issue":"3","key":"7533_CR32","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1109\/TPAMI.2004.1262333","volume":"26","author":"E. Klassen","year":"2004","unstructured":"Klassen, E., Srivastava, A., Mio, W., and Joshi, S.H. 2004. Analysis of planar shapes using geodesic paths on shape spaces. IEEE Trans. on Patt. Anal. and Mach. Intell., 26(3):372\u2013383.","journal-title":"IEEE Trans. on Patt. Anal. and Mach. Intell."},{"key":"7533_CR33","first-page":"316","volume":"1","author":"M. Leventon","year":"2000","unstructured":"Leventon, M., Grimson, W., and Faugeras, O. 2000. Statistical shape influence in geodesic active contours. In CVPR, Hilton Head Island, SC.1:316\u2013323.","journal-title":"CVPR, Hilton Head Island, SC."},{"issue":"2","key":"7533_CR34","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/34.368173","volume":"17","author":"R. Malladi","year":"1995","unstructured":"Malladi, R., Sethian, J.A., and Vemuri, B.C. 1995. Shape modeling with front propagation: A level set approach. IEEE Trans. on Patt. Anal. and Mach. Intell., 17(2):158\u2013175.","journal-title":"IEEE Trans. on Patt. Anal. and Mach. Intell."},{"key":"7533_CR35","unstructured":"Matheron, G. 1975. Random Sets and Integral Geometry. Wiley & Sons."},{"key":"7533_CR36","first-page":"62","volume-title":"European Conf. on Computer Vision, volume 3024 of Lect. Not. Comp. Sci.","author":"W. Mio","year":"2004","unstructured":"Mio, W., Srivastava, A., and Liu, X. 2004. Learning and Bayesian shape extraction for object recognition. In European Conf. on Computer Vision, volume 3024 of Lect. Not. Comp. Sci., Prague, Springer, pp. 62\u201373."},{"key":"7533_CR37","volume-title":"Computational Applied Mathematics","author":"M. Moelich","year":"2003","unstructured":"Moelich, M. and Chan, T. 2003. Tracking objects with the Chan-Vese algorithm. Technical Report 03-14, Computational Applied Mathematics, UCLA, Los Angeles."},{"key":"7533_CR38","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1002\/cpa.3160420503","volume":"42","author":"D. Mumford","year":"1989","unstructured":"Mumford, D., and Shah, J. 1989. Optimal approximations by piecewise smooth functions and associated variational problems. Comm. Pure Appl. Math., 42:577\u2013685.","journal-title":"Comm. Pure Appl. Math."},{"key":"7533_CR39","volume-title":"Level Set Methods and Dynamic Implicit Surfaces","author":"S.J. Osher","year":"2002","unstructured":"Osher, S.J. and Fedkiw, R.P. 2002. Level Set Methods and Dynamic Implicit Surfaces. Springer, New York."},{"key":"7533_CR40","doi-asserted-by":"crossref","DOI":"10.1007\/b97541","volume-title":"Geometric Level Set Methods in Imaging, Vision and Graphics","author":"S.J. Osher","year":"2003","unstructured":"Osher, S.J. and Paragios, N. 2003. Geometric Level Set Methods in Imaging, Vision and Graphics. Springer, Telos."},{"key":"7533_CR41","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/0021-9991(88)90002-2","volume":"79","author":"S.J. Osher","year":"1988","unstructured":"Osher, S.J. and Sethian, J.A. 1988. Fronts propagation with curvature dependent speed: Algorithms based on Hamilton\u2013Jacobi formulations. J. of Comp. Phys., 79:12\u201349.","journal-title":"J. of Comp. Phys."},{"issue":"3","key":"7533_CR42","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1023\/A:1014080923068","volume":"46","author":"N. Paragios","year":"2002","unstructured":"Paragios, N. and Deriche, R. 2002. Geodesic active regions and level set methods for supervised texture segmentation. Int.J.ofComputer Vision, 46(3):223\u2013247.","journal-title":"Int.J.ofComputer Vision"},{"key":"7533_CR43","doi-asserted-by":"crossref","unstructured":"Parzen, E. On the estimation of a probability density function and the mode. Annals of Mathematical Statistics, 33:1065\u20131076.","DOI":"10.1214\/aoms\/1177704472"},{"key":"7533_CR44","doi-asserted-by":"crossref","unstructured":"Pons, J.-P., Hermosillo, G., Keriven, R., and Faugeras, O. 2003. How to deal with point correspondences and tangential velocities in the level set framework. In IEEE Int. Conf. on Computer Vision, pages 894\u2013899.","DOI":"10.1109\/ICCV.2003.1238443"},{"key":"7533_CR45","doi-asserted-by":"crossref","unstructured":"Rasmussen, C.-E. and Williams, C.K.I. 2006. Gaussian Processes for Machine Learning, MIT Press.","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"7533_CR46","first-page":"2","volume":"2","author":"Y. Rathi","year":"2005","unstructured":"Rathi, Y., Vaswani, N., Tannenbaum, A., and Yezzi, A. 2005. Particle filtering for geometric active contours and application to tracking deforming objects. In IEEE Int. Conf. on Computer Vision and Pattern Recognition, volume2, pp.2\u20139.","journal-title":"IEEE Int. Conf. on Computer Vision and Pattern Recognition"},{"key":"7533_CR47","first-page":"50","volume-title":"European Conf. on Computer Vision, volume 3024 of Lect. Not. Comp. Sci.","author":"T. Riklin-Raviv","year":"2004","unstructured":"Riklin-Raviv, T., Kiryati, N. and Sochen, N. 2004. Unlevel sets: Geometry and prior-based segmentation. In T.Pajdla and V.Hlavac, editors, European Conf. on Computer Vision, volume 3024 of Lect. Not. Comp. Sci., pp.50\u201361, Prague. Springer."},{"key":"7533_CR48","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1214\/aoms\/1177728190","volume":"27","author":"F. Rosenblatt","year":"1956","unstructured":"Rosenblatt, F. 1956. Remarks on some nonparametric estimates of a density function. Annals of Mathematical Statistics, 27:832\u2013837.","journal-title":"Annals of Mathematical Statistics"},{"key":"7533_CR49","doi-asserted-by":"crossref","unstructured":"Rousson, M., Brox, T., and Deriche, R. 2003. Active unsupervised texture segmentation on a diffusion based feature space. In Proc.IEEE Conf.on Comp.Vision Patt.Recog., pp. 699\u2013704, Madison, WI.","DOI":"10.1109\/CVPR.2003.1211535"},{"key":"7533_CR50","first-page":"757","volume":"1","author":"M. Rousson","year":"2005","unstructured":"Rousson, M. and Cremers, D. 2005. Efficient kernel density estimation of shape and intensity priors for level set segmentation. In Intl.Conf.on Medical Image Computing and Comp.Ass.Intervention (MICCAI), 1:757\u2013764.","journal-title":"Intl.Conf.on Medical Image Computing and Comp.Ass.Intervention (MICCAI)"},{"key":"7533_CR51","doi-asserted-by":"crossref","unstructured":"Rousson, M. and Paragios, N. 2002. Shape priors for level set representations. In A. Heyden etal., editors, Europ. Conf. on Comp. Vis., volume 2351 of Lect. Not. Comp. Sci., pages 78\u201392. Springer.","DOI":"10.1007\/3-540-47967-8_6"},{"key":"7533_CR52","doi-asserted-by":"crossref","unstructured":"Rousson, M., Paragios, N., and Deriche, R. 2004. Implicit active shape models for 3d segmentation in MRI imaging. In Intl.Conf.on Medical Image Computing and Comp.Ass.Intervention (MICCAI), volume 2217 of Lect. Not. Comp. Sci., Springer, pp. 209\u2013216","DOI":"10.1007\/978-3-540-30135-6_26"},{"key":"7533_CR53","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/biomet\/65.1.1","volume":"65","author":"B.W. Silverman","year":"1978","unstructured":"Silverman, B.W. 1978. Choosing the window width when estimating a density. Biometrika, 65:1\u201311.","journal-title":"Biometrika"},{"key":"7533_CR54","volume-title":"Density estimation for statistics and data analysis","author":"B.W. Silverman","year":"1992","unstructured":"Silverman, B.W. 1992. Density estimation for statistics and data analysis. Chapman and Hall, London."},{"key":"7533_CR55","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1006\/jcph.1994.1155","volume":"94","author":"M. Sussman","year":"1994","unstructured":"Sussman, M., Smereka P., and Osher S.J. 1994. A level set approach for computing solutions to incompressible twophase flow. J. of Comp. Phys., 94:146\u2013159.","journal-title":"J. of Comp. Phys."},{"issue":"3","key":"7533_CR56","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1023\/A:1008001603737","volume":"28","author":"A. Trouv\u00e9","year":"1998","unstructured":"Trouv\u00e9, A. 1998. Diffeomorphisms, groups and pattern matching in image analysis. Int.J.ofComputer Vision, 28(3):213\u201321.","journal-title":"Int.J.ofComputer Vision"},{"key":"7533_CR57","unstructured":"Tsai, A., Yezzi, A., Wells, W., Tempany, C., Tucker, D., Fan, A., Grimson, E., and Willsky A. 2001. Model\u2013based curve evolution technique for image segmentation. In Comp.Vision Patt.Recog., Kauai, Hawaii, pp. 463\u2013468."},{"issue":"8","key":"7533_CR58","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1109\/83.935033","volume":"10","author":"A. Tsai","year":"2001","unstructured":"Tsai, A., Yezzi, A.J., and Willsky, A.S. 2001. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification. IEEE Trans. on Image Processing, 10(8):1169\u20131186.","journal-title":"IEEE Trans. on Image Processing"},{"key":"7533_CR59","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1109\/TIT.1975.1055408","volume":"21","author":"T.J. Wagner","year":"1975","unstructured":"Wagner, T.J. 1975. Nonparametric estimates of probability densities. IEEE Trans. on Inform. Theory, 21:438\u2013440.","journal-title":"IEEE Trans. on Inform. Theory"},{"issue":"2","key":"7533_CR60","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1023\/A:1023048024042","volume":"53","author":"A. Yezzi","year":"2003","unstructured":"Yezzi, A. and Soatto, S. 2003. Deformotion: Deforming motions and shape averages. Int.J.ofComputer Vision, 53(2):153\u2013167.","journal-title":"Int.J.ofComputer Vision"},{"issue":"2","key":"7533_CR61","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1137\/S0036139995287685","volume":"58","author":"L. Younes","year":"1998","unstructured":"Younes, L. 1998. Computable elastic distances between shapes. SIAM J. Appl. Math., 58(2):565\u2013586.","journal-title":"SIAM J. Appl. Math."},{"key":"7533_CR62","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1006\/jcph.1996.0167","volume":"127","author":"H.-K. Zhao","year":"1996","unstructured":"Zhao, H.-K., Chan, T., Merriman, B. and Osher, S. 1996. A variational level set approach to multiphase motion. J. of Comp. Phys., 127:179\u2013195.","journal-title":"J. of Comp. Phys."}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-006-7533-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11263-006-7533-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-006-7533-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,15]],"date-time":"2020-04-15T00:04:08Z","timestamp":1586909048000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11263-006-7533-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,5,1]]},"references-count":62,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2006,9]]}},"alternative-id":["7533"],"URL":"https:\/\/doi.org\/10.1007\/s11263-006-7533-5","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"value":"0920-5691","type":"print"},{"value":"1573-1405","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,5,1]]}}}