{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T06:20:11Z","timestamp":1769062811246,"version":"3.49.0"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1007\/s00371-022-02454-w","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T06:14:26Z","timestamp":1648534466000},"page":"1907-1914","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Point cloud quality assessment: unifying projection, geometry, and texture similarity"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0866-658X","authenticated-orcid":false,"given":"XPedro Garcia","family":"Freitas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Diniz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mylene C. Q.","family":"Farias","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,28]]},"reference":[{"key":"2454_CR1","doi-asserted-by":"crossref","unstructured":"Li, H.T.,Todd, Z.,Bielski, N., Carroll, F.:\u201c3d lidar point-cloud projection operator and transfer machine learning for effective road surface features detection and segmentation,\u201d The Visual Computer, pp. 1\u201316, (2021)","DOI":"10.1007\/s00371-021-02103-8"},{"issue":"11","key":"2454_CR2","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1007\/s00371-017-1425-2","volume":"34","author":"C-H Teng","year":"2018","unstructured":"Teng, C.-H., Chuo, K.-Y., Hsieh, C.-Y.: Reconstructing three-dimensional models of objects using a kinect sensor. Vis. Comput. 34(11), 1507\u20131523 (2018)","journal-title":"Vis. Comput."},{"issue":"4","key":"2454_CR3","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1007\/s00371-019-01648-z","volume":"36","author":"L Hu","year":"2020","unstructured":"Hu, L., Xiao, J., Wang, Y.: An automatic 3d registration method for rock mass point clouds based on plane detection and polygon matching. Vis. Comput. 36(4), 669\u2013681 (2020)","journal-title":"Vis. Comput."},{"issue":"3","key":"2454_CR4","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/s00371-019-01642-5","volume":"36","author":"W-C Chang","year":"2020","unstructured":"Chang, W.-C., Wu, C.-H.: Candidate-based matching of 3-d point clouds with axially switching pose estimation. Vis. Comput. 36(3), 593\u2013607 (2020)","journal-title":"Vis. Comput."},{"key":"2454_CR5","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1109\/LSP.2020.2965322","volume":"27","author":"E Peixoto","year":"2020","unstructured":"Peixoto, E.: Intra-frame compression of point cloud geometry using dyadic decomposition. IEEE Signal Process. Lett. 27, 246\u2013250 (2020)","journal-title":"IEEE Signal Process. Lett."},{"issue":"9","key":"2454_CR6","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1109\/LSP.2019.2931425","volume":"26","author":"GP Sandri","year":"2019","unstructured":"Sandri, G.P., Chou, P.A., Krivoku\u0107a, M., de Queiroz, R.L.: Integer alternative for the region-adaptive hierarchical transform. IEEE Signal Process. Lett. 26(9), 1369\u20131372 (2019)","journal-title":"IEEE Signal Process. Lett."},{"issue":"1","key":"2454_CR7","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1109\/JETCAS.2018.2885981","volume":"9","author":"S Schwarz","year":"2018","unstructured":"Schwarz, S., Preda, M., Baroncini, V., Budagavi, M., Cesar, P., Chou, P.A., Cohen, R.A., Krivoku\u0107a, M., Lasserre, S., Li, Z., et al.: Emerging mpeg standards for point cloud compression. IEEE J. Emerg. Select. Top. Circuits Syst. 9(1), 133\u2013148 (2018)","journal-title":"IEEE J. Emerg. Select. Top. Circuits Syst."},{"key":"2454_CR8","unstructured":"Schwarz, S., Martin-Cocher, G., Flynn, D., Budagavi, M.: \u201cCommon test conditions for point cloud compression,\u201d Document ISO\/IEC JTC1\/SC29\/WG11 w17766. Ljubljana, Slovenia (2018)"},{"key":"2454_CR9","unstructured":"Oyman, O.: \u201cISO\/IEC JTC 1\/SC29\/WG11 input : Draft text of ce on immersive media metrics for pcc distribution MPEG Meeting, Brussels, Belgium,\u201d International Organization for Standardization, Tech. Rep., January, (2019)"},{"key":"2454_CR10","doi-asserted-by":"crossref","unstructured":"Alexiou, E., Viola,I., Borges,T.M., Fonseca,T.A., De Queiroz,R.L., Ebrahimi,T.: \u201cA comprehensive study of the rate-distortion performance in mpeg point cloud compression,\u201d APSIPA Transactions on Signal and Information Processing, vol.\u00a08, (2019)","DOI":"10.1017\/ATSIP.2019.20"},{"key":"2454_CR11","unstructured":"Pereira, F.: \u201cPoint cloud quality assessment: Reviewing objective metrics and subjective protocols,\u201d In ISO\/IEC JTC1\/SC29\/WG1 M78036. JPEG. JPEG, (2018), pp. 1\u20138"},{"key":"2454_CR12","doi-asserted-by":"crossref","unstructured":"Alexiou,E., Ebrahimi,T.: \u201cPoint cloud quality assessment metric based on angular similarity,\u201d In 2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, pp. 1\u20136 (2018)","DOI":"10.1109\/ICME.2018.8486512"},{"key":"2454_CR13","doi-asserted-by":"crossref","unstructured":"Javaheri, A., Brites, C.,Pereira, F., Ascenso, J.:\u201cA generalized hausdorff distance based quality metric for point cloud geometry,\u201d In 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). IEEE,pp. 1\u20136 (2020)","DOI":"10.1109\/QoMEX48832.2020.9123087"},{"key":"2454_CR14","doi-asserted-by":"publisher","first-page":"1350","DOI":"10.1109\/LSP.2020.3010128","volume":"27","author":"A Javaheri","year":"2020","unstructured":"Javaheri, A., Brites, C., Pereira, F., Ascenso, J.: Mahalanobis based point to distribution metric for point cloud geometry quality evaluation. IEEE Signal Process. Lett. 27, 1350\u20131354 (2020)","journal-title":"IEEE Signal Process. Lett."},{"key":"2454_CR15","unstructured":"Yang, Q., Ma,Z., Xu,Y., Li, Z., Sun, J.: \u201cInferring point cloud quality via graph similarity,\u201d In IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 1, (2020)"},{"key":"2454_CR16","unstructured":"Torlig, E.M., Alexiou, E., Fonseca, T.A., de\u00a0Queiroz, R.L., Ebrahimi,T.: \u201cA novel methodology for quality assessment of voxelized point clouds,\u201d In Applications of Digital Image Processing XLI, vol. 10752. International Society for Optics and Photonics, p. 107520I (2018)"},{"key":"2454_CR17","doi-asserted-by":"crossref","unstructured":"Yang,Q., Chen,H., Ma,Z., Xu, Y.,Tang,R.,Sun, J.:\u201cPredicting the perceptual quality of point cloud: a 3d-to-2d projection-based exploration,\u201d IEEE Transactions on Multimedia, p. 1, (2020)","DOI":"10.1109\/TMM.2020.3033117"},{"key":"2454_CR18","doi-asserted-by":"crossref","unstructured":"Viola, I.,Subramanyam, S.,Cesar, P.:\u201cA color-based objective quality metric for point cloud contents,\u201d In 2020 12th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, pp. 1\u20136(2020)","DOI":"10.1109\/QoMEX48832.2020.9123089"},{"key":"2454_CR19","doi-asserted-by":"crossref","unstructured":"Meynet, G.,Nehm\u00e9, Y.,Digne, J.,Lavou\u00e9, G.: \u201cPcqm: A full-reference quality metric for colored 3d point clouds,\u201d In 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, pp. 1\u20136 (2020)","DOI":"10.1109\/QoMEX48832.2020.9123147"},{"key":"2454_CR20","doi-asserted-by":"crossref","unstructured":"Meynet, G.,Digne, J., Lavou\u00e9, G.:\u201cPc-msdm: A quality metric for 3d point clouds,\u201d In 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). IEEE, pp. 1\u20133 (2019)","DOI":"10.1109\/QoMEX.2019.8743313"},{"key":"2454_CR21","doi-asserted-by":"crossref","unstructured":"Alexiou, E.,Ebrahimi, T.:\u201cTowards a point cloud structural similarity metric,\u201d In 2020 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, pp. 1\u20136 (2020)","DOI":"10.1109\/ICMEW46912.2020.9106005"},{"key":"2454_CR22","doi-asserted-by":"crossref","unstructured":"Diniz, R., Freitas, P.G., Farias, M.C.: \u201cLocal luminance patterns for point cloud quality assessment,\u201d In IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP). IEEE 2020, 1\u20136 (2020)","DOI":"10.1109\/MMSP48831.2020.9287154"},{"key":"2454_CR23","doi-asserted-by":"crossref","unstructured":"Diniz, R., Freitas, P.G., Farias, M.C.: \u201cTowards a point cloud quality assessment model using local binary patterns,\u201d In 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, pp. 1\u20136(2020)","DOI":"10.1109\/QoMEX48832.2020.9123076"},{"key":"2454_CR24","doi-asserted-by":"crossref","unstructured":"Diniz, R., Freitas, P.G., Farias, M.C.: \u201cMulti-distance point cloud quality assessment,\u201d In 2020 IEEE International Conference on Image Processing (ICIP), pp. 3443\u20133447 (2020)","DOI":"10.1109\/ICIP40778.2020.9190956"},{"key":"2454_CR25","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1109\/LSP.2021.3088059","volume":"28","author":"R Diniz","year":"2021","unstructured":"Diniz, R., Freitas, P.G., Farias, M.C.Q.: Color and geometry texture descriptors for point-cloud quality assessment. IEEE Signal Process. Lett. 28, 1150\u20131154 (2021)","journal-title":"IEEE Signal Process. Lett."},{"issue":"9","key":"2454_CR26","doi-asserted-by":"publisher","first-page":"256-1","DOI":"10.2352\/ISSN.2470-1173.2021.9.IQSP-256","volume":"2021","author":"R Diniz","year":"2021","unstructured":"Diniz, R., Freitas, P.G., Farias, M.: A novel point cloud quality assessment metric based on perceptual color distance patterns. Electron. Imaging 2021(9), 256\u20131 (2021)","journal-title":"Electron. Imaging"},{"key":"2454_CR27","doi-asserted-by":"crossref","unstructured":"Diniz,R., Garcia Freitas, P.,Farias,M.C.: \u201cPoint cloud quality assessment based on geometry-aware texture descriptors,\u201d Comput. Graph., 103, 31\u201344, [Online]. Available: https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849322000036 (2022)","DOI":"10.1016\/j.cag.2022.01.003"},{"key":"2454_CR28","doi-asserted-by":"crossref","unstructured":"Quach, M.,Valenzise, G.,Dufaux,F.: \u201cFolding-based compression of point cloud attributes,\u201d in 2020 IEEE International Conference on Image Processing (ICIP). IEEE, pp. 3309\u20133313, (2020)","DOI":"10.1109\/ICIP40778.2020.9191180"},{"key":"2454_CR29","doi-asserted-by":"crossref","unstructured":"Freitas,P.G.,Akamine, W.Y., Farias, M.C.: \u201cNo-reference image quality assessment based on statistics of local ternary pattern,\u201d In 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, pp. 1\u20136(2016)","DOI":"10.1109\/QoMEX.2016.7498959"},{"key":"2454_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.image.2018.02.010","volume":"64","author":"PG Freitas","year":"2018","unstructured":"Freitas, P.G., Akamine, W.Y., Farias, M.C.: Using multiple spatio-temporal features to estimate video quality. Signal Process. Image Commun. 64, 1\u201310 (2018)","journal-title":"Signal Process. Image Commun."},{"key":"2454_CR31","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.patrec.2015.11.019","volume":"71","author":"R Mehta","year":"2016","unstructured":"Mehta, R., Egiazarian, K.: Dominant rotated local binary patterns (drlbp) for texture classification. Pattern Recogn. Lett. 71, 16\u201322 (2016)","journal-title":"Pattern Recogn. Lett."},{"issue":"7","key":"2454_CR32","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971\u2013987 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2454_CR33","doi-asserted-by":"crossref","unstructured":"Freitas, P.G., Alamgeer, S., Akamine, W.Y., Farias, M.C.: \u201cBlind image quality assessment based on multiscale salient local binary patterns,\u201d In Proceedings of the 9th ACM Multimedia Systems Conference, pp. 52\u201363 (2018)","DOI":"10.1145\/3204949.3204960"},{"key":"2454_CR34","unstructured":"Jurman, G., Riccadonna, S., Visintainer, R., Furlanello, C.: \u201cCanberra distance on ranked lists,\u201d In Proceedings of Advances in Ranking NIPS 09 Workshop. Citeseer, pp. 22\u201327(2009)"},{"issue":"2","key":"2454_CR35","doi-asserted-by":"publisher","first-page":"47","DOI":"10.3390\/e19020047","volume":"19","author":"A Ramdas","year":"2017","unstructured":"Ramdas, A., Trillos, N.G., Cuturi, M.: On wasserstein two-sample testing and related families of nonparametric tests. Entropy 19(2), 47 (2017)","journal-title":"Entropy"},{"issue":"1","key":"2454_CR36","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/BF00117832","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Stacked regressions. Mach. Learn. 24(1), 49\u201364 (1996)","journal-title":"Mach. Learn."},{"key":"2454_CR37","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"2454_CR38","doi-asserted-by":"crossref","unstructured":"Zien, A. ,Kr\u00e4mer, N., Sonnenburg, S., R\u00e4tsch, G.: \u201cThe feature importance ranking measure,\u201d In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. pp. 694\u2013709, Springer, Berlin (2009)","DOI":"10.1007\/978-3-642-04174-7_45"},{"issue":"1","key":"2454_CR39","doi-asserted-by":"publisher","first-page":"343","DOI":"10.32614\/RJ-2020-013","volume":"12","author":"B Greenwell","year":"2020","unstructured":"Greenwell, B., Boehmke, B., Gray, B.: Variable importance plots-an introduction to the vip package. R J. 12(1), 343\u2013366 (2020)","journal-title":"R J."},{"issue":"11","key":"2454_CR40","doi-asserted-by":"publisher","first-page":"2417","DOI":"10.1109\/TKDE.2017.2740926","volume":"29","author":"T-T Wong","year":"2017","unstructured":"Wong, T.-T., Yang, N.-Y.: Dependency analysis of accuracy estimates in k-fold cross validation. IEEE Trans. Knowl. Data Eng. 29(11), 2417\u20132427 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"2454_CR41","doi-asserted-by":"publisher","unstructured":"Sammut, C.,Webb, G.I. (eds.): Leave-One-Out Cross-Validation. pp. 600\u2013601. Springer, Boston (2010). [Online]. Available: https:\/\/doi.org\/10.1007\/978-0-387-30164-8_469","DOI":"10.1007\/978-0-387-30164-8_469"},{"issue":"3","key":"2454_CR42","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s00371-014-0930-9","volume":"31","author":"M Xu","year":"2015","unstructured":"Xu, M., Zhang, H.: Saliency detection with color contrast based on boundary information and neighbors. Vis. Comput. 31(3), 355\u2013364 (2015)","journal-title":"Vis. Comput."},{"issue":"10","key":"2454_CR43","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1007\/s00371-017-1416-3","volume":"34","author":"Y Guo","year":"2018","unstructured":"Guo, Y., Wang, F., Xin, J.: Point-wise saliency detection on 3d point clouds via covariance descriptors. Vis. Comput. 34(10), 1325\u20131338 (2018)","journal-title":"Vis. Comput."},{"key":"2454_CR44","doi-asserted-by":"crossref","unstructured":"Singh, S.K., Srivastava, R.: \u201cA robust rgbd saliency method with improved probabilistic contrast and the global reference surface,\u201d Visual Comput., pp. 1\u201313 (2021)","DOI":"10.1007\/s00371-020-02050-w"},{"issue":"6","key":"2454_CR45","doi-asserted-by":"publisher","first-page":"1277","DOI":"10.1007\/s00371-020-01865-x","volume":"37","author":"J-F Shi","year":"2021","unstructured":"Shi, J.-F., Ulrich, S., Ruel, S.: Real-time saliency detection for greyscale and colour images. Vis. Comput. 37(6), 1277\u20131296 (2021)","journal-title":"Vis. Comput."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-022-02454-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-022-02454-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-022-02454-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T08:09:46Z","timestamp":1681718986000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-022-02454-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":45,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,5]]}},"alternative-id":["2454"],"URL":"https:\/\/doi.org\/10.1007\/s00371-022-02454-w","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,28]]},"assertion":[{"value":"1 March 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There are no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}