{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:38:53Z","timestamp":1743097133308,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030873608"},{"type":"electronic","value":"9783030873615"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87361-5_4","type":"book-chapter","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T23:54:11Z","timestamp":1632959651000},"page":"44-56","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Scaling Invariant Harmonic Wave Kernel Signature for 3D Point Cloud Similarity"],"prefix":"10.1007","author":[{"given":"Dan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhuan","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiujuan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuome","family":"Renqing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuxiang","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,30]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Deng, H., Wei, Z., Mortensen, E.N., et al.: Principal curvature-based region detector for object recognition. In: CVPR 2007, pp. 18\u201323 (2007)","DOI":"10.1109\/CVPR.2007.382972"},{"issue":"19","key":"4_CR2","first-page":"7937","volume":"8","author":"Z Huangfu","year":"2012","unstructured":"Huangfu, Z., Yan, L., Zhang, S.: A new method for estimation of normal vector and curvature based on scattered point cloud. J. Comput. Inf. Syst. 8(19), 7937\u20137945 (2012)","journal-title":"J. Comput. Inf. Syst."},{"key":"4_CR3","unstructured":"Ke, Y.L., Li, A.: Rotational surface extraction based on principal direction Gaussian image from point cloud. J. Zhejiang Univ. (Eng. Sci.) 40(6), 942\u2013946 (2006)"},{"key":"4_CR4","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.isprsjprs.2020.02.018","volume":"163","author":"J Sanchez","year":"2020","unstructured":"Sanchez, J., Denis, F., Coeurjolly, D., et al.: Robust normal vector estimation in 3D point clouds through iterative principal component analysis. ISPRS J. Photogrammetry Remote Sens. 163, 18\u201335 (2020)","journal-title":"ISPRS J. Photogrammetry Remote Sens."},{"issue":"2","key":"4_CR5","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.cag.2010.01.002","volume":"34","author":"L Bao","year":"2010","unstructured":"Bao, L., Schnabel, R., Klein, R., et al.: Robust normal estimation for point clouds with sharp features. Comput. Graph. 34(2), 94\u2013106 (2010)","journal-title":"Comput. Graph."},{"key":"4_CR6","unstructured":"Pei, L., Wu, Z., Xia, C., et al.: Robust normal estimation of point cloud with sharp features via subspace clustering. In: International Conference on Graphic & Image Processing (2014)"},{"key":"4_CR7","doi-asserted-by":"publisher","unstructured":"Srivastava, A., Kurtek, S., Klassen, E.: Statistical Shape Analysis. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston (2014). https:\/\/doi.org\/10.1007\/978-0-387-31439-6_778","DOI":"10.1007\/978-0-387-31439-6_778"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Srivastava, A., Joshi, S.H., Mio, W., et al.: Statistical shape analysis: clustering, learning, and testing. IEEE Trans. Pattern Anal. Mach. Intell. 27(4), 590 (2005)","DOI":"10.1109\/TPAMI.2005.86"},{"issue":"2","key":"4_CR9","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.aca.2006.07.056","volume":"580","author":"MA Bezerra","year":"2006","unstructured":"Bezerra, M.A., Bruns, R.E., Ferreira, S.: Statistical design-principal component analysis optimization of a multiple response procedure using cloud point extraction and simultaneous determination of metals by ICP OES. Analytica Chimica Acta 580(2), 251\u2013257 (2006)","journal-title":"Analytica Chimica Acta"},{"key":"4_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1007\/978-3-319-10605-2_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"H Rahmani","year":"2014","unstructured":"Rahmani, H., Mahmood, A., Q Huynh, D., Mian, A.: HOPC: histogram of oriented principal components of 3D pointclouds for action recognition. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8690, pp. 742\u2013757. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10605-2_48"},{"key":"4_CR11","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.patrec.2020.05.010","volume":"136","author":"MZ Iqbal","year":"2020","unstructured":"Iqbal, M.Z., Bobkov, D., Steinbach, E.: Fuzzy logic and histogram of normal orientation-based 3D keypoint detection for point clouds. Pattern Recogn, Lett. 136, 40\u201347 (2020)","journal-title":"Pattern Recogn, Lett."},{"key":"4_CR12","first-page":"559","volume":"27","author":"D Fan","year":"2015","unstructured":"Fan, D., Liu, Y., Ying, H.: Recent progress in the Laplace-Beltrami operator and its applications to digital geometry processing. J. Comput. Aided Des. Comput. Graph. 27, 559\u2013569 (2015)","journal-title":"J. Comput. Aided Des. Comput. Graph."},{"issue":"5","key":"4_CR13","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.1111\/j.1467-8659.2009.01515.x","volume":"28","author":"J Sun","year":"2010","unstructured":"Sun, J., Ovsjanikov, M., Guibas, L.: A concise and provably informative multi-scale signature based on heat diffusion. Comput. Graph. Forum 28(5), 1383\u20131392 (2010)","journal-title":"Comput. Graph. Forum"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Bronstein, M.M., Kokkinos, I.: Scale-invariant heat kernel signatures for non-rigid shape recognition. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1704\u20131711. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5539838"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Aubry, M., Schlickewei, U., Cremers, D.: The wave kernel signature: a quantum mechanical approach to shape analysis. In: IEEE International Conference on Computer 588 Vision Workshops, pp. 1626\u20131633 (2011)","DOI":"10.1109\/ICCVW.2011.6130444"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Li, H., Li, S., Wu, X., et al.: Scale-invariant wave kernel signature for non-rigid 3D shape retrieval. In: 2018 IEEE International Conference on Big Data and Smart Computing. IEEE (2018)","DOI":"10.1109\/BigComp.2018.00072"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, D., Wu, Z., Wang, X., et al.: 3D skull and face similarity measurements based on a harmonic wave kernel signature. Visual Comput. (7) (2020)","DOI":"10.1007\/s00371-020-01946-x"},{"key":"4_CR18","unstructured":"Rustamov, R.M.: Laplace-Beltrami eigenfunctions for deformation invariant shape representation. In: Proceedings of the 5th Eurographics Symposium on Geometry Processing, pp. 225\u2013233 (2007)"},{"key":"4_CR19","doi-asserted-by":"crossref","unstructured":"Patan\u00e9, G.: STAR Laplacian spectral kernels and distances for geometry processing and shape analysis. In: Proceedings of the Computer Graphics Forum, pp. 599\u2013624 (2016)","DOI":"10.1111\/cgf.12866"},{"key":"4_CR20","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1007\/978-3-319-14717-8_28","volume-title":"Advanced Data Mining and Applications","author":"S Zhang","year":"2014","unstructured":"Zhang, S., Zong, M., Sun, K., Liu, Y., Cheng, D.: Efficient kNN algorithm based on graph sparse reconstruction. In: Luo, X., Yu, J.X., Li, Z. (eds.) ADMA 2014. LNCS (LNAI), vol. 8933, pp. 356\u2013369. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-14717-8_28"},{"key":"4_CR21","unstructured":"Dubuisson, M.P., Jain, A.K.: A modified Hausdorff distance for object matching. In: 600 International Conference on Pattern Recognition (2002)"},{"key":"4_CR22","doi-asserted-by":"crossref","unstructured":"Pickup, D., Sun, X., Rosin, P.L., et al.: SHREC 2015 track: canonical forms for non-rigid 3D shape retrieval. In: Eurographics Workshop on 3D Object Retrieval (2015)","DOI":"10.1007\/s41095-016-0045-5"},{"key":"4_CR23","unstructured":"Bronstein, A.M., Bronstein, M.M., Castellani, U., et al.: SHREC 2010: robust large-scale shape retrieval benchmark. In: Proceedings of the EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR) (2010)"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87361-5_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T23:59:10Z","timestamp":1632959950000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87361-5_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030873608","9783030873615"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87361-5_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Haikou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icig2021.csig.org.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"421","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"198","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was postponed due to the COVID19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}