{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T02:50:26Z","timestamp":1772679026521,"version":"3.50.1"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030110208","type":"print"},{"value":"9783030110215","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-11021-5_45","type":"book-chapter","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T04:26:13Z","timestamp":1548303973000},"page":"727-739","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Interest Point Detectors Stability Evaluation on ApolloScape Dataset"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6906-4318","authenticated-orcid":false,"given":"Jacek","family":"Komorowski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konrad","family":"Czarnota","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1486-8906","authenticated-orcid":false,"given":"Tomasz","family":"Trzcinski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lukasz","family":"Dabala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Lynen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,23]]},"reference":[{"issue":"10","key":"45_CR1","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1145\/2001269.2001293","volume":"54","author":"S Agarwal","year":"2011","unstructured":"Agarwal, S., et al.: Building rome in a day. Commun. ACM 54(10), 105\u2013112 (2011)","journal-title":"Commun. ACM"},{"issue":"1","key":"45_CR2","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s11263-006-0002-3","volume":"74","author":"M Brown","year":"2007","unstructured":"Brown, M., Lowe, D.G.: Automatic panoramic image stitching using invariant features. IJCV 74(1), 59\u201373 (2007)","journal-title":"IJCV"},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Lynen, S., Sattler, T., Bosse, M., Hesch, J.A., Pollefeys, M., Siegwart, R.: Get out of my lab: large-scale, real-time visual-inertial localization. In: Robotics: Science and Systems (2015)","DOI":"10.15607\/RSS.2015.XI.037"},{"key":"45_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/978-3-319-46466-4_28","volume-title":"Computer Vision \u2013 ECCV 2016","author":"KM Yi","year":"2016","unstructured":"Yi, K.M., Trulls, E., Lepetit, V., Fua, P.: LIFT: learned invariant feature transform. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9910, pp. 467\u2013483. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46466-4_28"},{"key":"45_CR5","doi-asserted-by":"crossref","unstructured":"Noh, H., Araujo, A., Sim, J., Weyand, T., Han, B.: Largescale image retrieval with attentive deep local features. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3456\u20133465 (2017)","DOI":"10.1109\/ICCV.2017.374"},{"key":"45_CR6","doi-asserted-by":"crossref","unstructured":"DeTone, D., Malisiewicz, T., Rabinovich, A.: SuperPoint: self-supervised interest point detection and description. arXiv preprint arXiv:1712.07629 (2017)","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"45_CR7","doi-asserted-by":"crossref","unstructured":"Harris, C., Stephens, M.: A combined corner and edge detector. In: Alvey Vision Conference, vol. 15, pp. 10\u20135244. Citeseer (1988)","DOI":"10.5244\/C.2.23"},{"issue":"2","key":"45_CR8","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1023\/A:1008045108935","volume":"30","author":"T Lindeberg","year":"1998","unstructured":"Lindeberg, T.: Feature detection with automatic scale selection. Int. J. Comput. Vis. 30(2), 79\u2013116 (1998)","journal-title":"Int. J. Comput. Vis."},{"key":"45_CR9","doi-asserted-by":"crossref","unstructured":"Lowe, D.G.: Object recognition from local scale-invariant features. In: The Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, pp. 1150\u20131157. IEEE (1999)","DOI":"10.1109\/ICCV.1999.790410"},{"key":"45_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1007\/11744023_34","volume-title":"Computer Vision \u2013 ECCV 2006","author":"E Rosten","year":"2006","unstructured":"Rosten, E., Drummond, T.: Machine learning for high-speed corner detection. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 430\u2013443. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11744023_34"},{"key":"45_CR11","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to sift or surf. In: 2011 IEEE international conference on Computer Vision (ICCV), pp. 2564\u20132571. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"45_CR12","doi-asserted-by":"crossref","unstructured":"Savinov, N., Seki, A., Ladicky, L., Sattler, T., Pollefeys, M.: Quad-networks: unsupervised learning to rank for interest point detection. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2017.418"},{"key":"45_CR13","unstructured":"Ono, Y., Trulls, E., Fua, P., Yi, K.M.: LF-Net: learning local features from images. arXiv preprint arXiv:1805.09662 (2018)"},{"issue":"1","key":"45_CR14","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1023\/B:VISI.0000027790.02288.f2","volume":"60","author":"K Mikolajczyk","year":"2004","unstructured":"Mikolajczyk, K., Schmid, C.: Scale & affine invariant interest point detectors. Int. J. Comput. Vis. 60(1), 63\u201386 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"45_CR15","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1561\/0600000017","volume":"3","author":"T Tuytelaars","year":"2008","unstructured":"Tuytelaars, T., Mikolajczyk, K., et al.: Local invariant feature detectors: a survey. Found. trends\u00ae Comput. Graph. Vis. 3(3), 177\u2013280 (2008)","journal-title":"Found. trends\u00ae Comput. Graph. Vis."},{"key":"45_CR16","doi-asserted-by":"crossref","unstructured":"Huang, X., et al.: The apolloscape dataset for autonomous driving. arXiv preprint arXiv:1803.06184 (2018)","DOI":"10.1109\/CVPRW.2018.00141"},{"key":"45_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/978-3-642-03798-6_16","volume-title":"Pattern Recognition","author":"C Strecha","year":"2009","unstructured":"Strecha, C., Lindner, A., Ali, K., Fua, P.: Training for task specific keypoint detection. In: Denzler, J., Notni, G., S\u00fc\u00dfe, H. (eds.) DAGM 2009. LNCS, vol. 5748, pp. 151\u2013160. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-03798-6_16"},{"key":"45_CR18","doi-asserted-by":"crossref","unstructured":"Verdie, Y., Yi, K., Fua, P., Lepetit, V.: Tilde: a temporally invariant learned detector. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5279\u20135288 (2015)","DOI":"10.1109\/CVPR.2015.7299165"},{"key":"45_CR19","doi-asserted-by":"crossref","unstructured":"Altwaijry, H., Veit, A., Belongie, S.J., Tech, C.: Learning to detect and match keypoints with deep architectures. In: BMVC (2016)","DOI":"10.5244\/C.30.49"},{"key":"45_CR20","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"45_CR21","unstructured":"Schmid, C., Mohr, R., Bauckhage, C.: Comparing and evaluating interest points. In: Sixth International Conference on Computer Vision, pp. 230\u2013235. IEEE (1998)"},{"key":"45_CR22","doi-asserted-by":"crossref","unstructured":"Balntas, V., Lenc, K., Vedaldi, A., Mikolajczyk, K.: HPatches: a benchmark and evaluation of handcrafted and learned local descriptors. In: Conference on Computer Vision and Pattern Recognition (CVPR), vol. 4, p. 6 (2017)","DOI":"10.1109\/CVPR.2017.410"},{"issue":"7","key":"45_CR23","first-page":"1281","volume":"34","author":"PF Alcantarilla","year":"2011","unstructured":"Alcantarilla, P.F., Solutions, T.: Fast explicit diffusion for accelerated features in nonlinear scale spaces. IEEE Trans. Patt. Anal. Mach. Intell 34(7), 1281\u20131298 (2011)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell"},{"key":"45_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/978-3-642-15552-9_14","volume-title":"Computer Vision \u2013 ECCV 2010","author":"E Mair","year":"2010","unstructured":"Mair, E., Hager, G.D., Burschka, D., Suppa, M., Hirzinger, G.: Adaptive and generic corner detection based on the accelerated segment test. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6312, pp. 183\u2013196. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15552-9_14"},{"key":"45_CR25","doi-asserted-by":"crossref","unstructured":"Aldana-Iuit, J., Mishkin, D., Chum, O., Matas, J.: In the saddle: chasing fast and repeatable features. In: 2016 23rd International Conference on Pattern Recognition (ICPR), pp. 675\u2013680. IEEE (2016)","DOI":"10.1109\/ICPR.2016.7899712"},{"issue":"1","key":"45_CR26","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1177\/0278364916679498","volume":"36","author":"W Maddern","year":"2017","unstructured":"Maddern, W., Pascoe, G., Linegar, C., Newman, P.: 1 Year, 1000 km: the Oxford RobotCar dataset. Int. J. Robot. Res. (IJRR) 36(1), 3\u201315 (2017)","journal-title":"Int. J. Robot. Res. (IJRR)"},{"key":"45_CR27","unstructured":"Yu, F., et al.: Bdd100k: a diverse driving video database with scalable annotation tooling. arXiv preprint arXiv:1805.04687 (2018)"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-11021-5_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T01:22:33Z","timestamp":1674350553000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-11021-5_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030110208","9783030110215"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-11021-5_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}