{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:49:49Z","timestamp":1776181789252,"version":"3.50.1"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030012458","type":"print"},{"value":"9783030012465","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-01246-5_15","type":"book-chapter","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T20:14:56Z","timestamp":1538770496000},"page":"242-258","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":131,"title":["Semi-dense 3D Reconstruction with a Stereo Event Camera"],"prefix":"10.1007","author":[{"given":"Yi","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Guillermo","family":"Gallego","sequence":"additional","affiliation":[]},{"given":"Henri","family":"Rebecq","sequence":"additional","affiliation":[]},{"given":"Laurent","family":"Kneip","sequence":"additional","affiliation":[]},{"given":"Hongdong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Davide","family":"Scaramuzza","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"issue":"2","key":"15_CR1","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/JSSC.2007.914337","volume":"43","author":"P Lichtsteiner","year":"2008","unstructured":"Lichtsteiner, P., Posch, C., Delbruck, T.: A 128\u00a0$$\\times $$\u00a0128 120 dB 15 $$\\upmu $$s latency asynchronous temporal contrast vision sensor. IEEE J. Solid-State Circuits 43(2), 566\u2013576 (2008). https:\/\/doi.org\/10.1109\/JSSC.2007.914337","journal-title":"IEEE J. Solid-State Circuits"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Mueggler, E., Huber, B., Scaramuzza, D.: Event-based, 6-DOF pose tracking for high-speed maneuvers. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2761\u20132768 (2014).https:\/\/doi.org\/10.1109\/IROS.2014.6942940","DOI":"10.1109\/IROS.2014.6942940"},{"issue":"8","key":"15_CR3","doi-asserted-by":"publisher","first-page":"1710","DOI":"10.1109\/TNNLS.2014.2352401","volume":"26","author":"X Lagorce","year":"2015","unstructured":"Lagorce, X., Meyer, C., Ieng, S.H., Filliat, D., Benosman, R.: Asynchronous event-based multikernel algorithm for high-speed visual features tracking. IEEE Trans. Neural Netw. Learn. Syst. 26(8), 1710\u20131720 (2015). https:\/\/doi.org\/10.1109\/TNNLS.2014.2352401","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Zhu, A.Z., Atanasov, N., Daniilidis, K.: Event-based feature tracking with probabilistic data association. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 4465\u20134470 (2017). https:\/\/doi.org\/10.1109\/ICRA.2017.7989517","DOI":"10.1109\/ICRA.2017.7989517"},{"issue":"10","key":"15_CR5","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1109\/TPAMI.2017.2658577","volume":"40","author":"G Gallego","year":"2018","unstructured":"Gallego, G., Lund, J.E.A., Mueggler, E., Rebecq, H., Delbruck, T., Scaramuzza, D.: Event-based, 6-DOF camera tracking from photometric depth maps. IEEE Trans. Pattern Anal. Mach. Intell. 40(10), 2402\u20132412 (2018). https:\/\/doi.org\/10.1109\/TPAMI.2017.2658577","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1109\/LRA.2016.2647639","volume":"2","author":"G Gallego","year":"2017","unstructured":"Gallego, G., Scaramuzza, D.: Accurate angular velocity estimation with an event camera. IEEE Robot. Autom. Lett. 2, 632\u2013639 (2017). https:\/\/doi.org\/10.1109\/LRA.2016.2647639","journal-title":"IEEE Robot. Autom. Lett."},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Mueggler, E., Gallego, G., Rebecq, H., Scaramuzza, D.: Continuous-time visual-inertial odometry with event cameras. IEEE Trans. Robot. (2018, to appear). https:\/\/doi.org\/10.1109\/TRO.2018.2858287","DOI":"10.1109\/TRO.2018.2858287"},{"key":"15_CR8","doi-asserted-by":"publisher","unstructured":"Gehrig, D., Rebecq, H., Gallego, G., Scaramuzza, D.: Asynchronous, photometric feature tracking using events and frames. In: European Conference on Computer Vision (ECCV) (2018, to appear). https:\/\/doi.org\/10.1007\/978-3-030-01258-8_46","DOI":"10.1007\/978-3-030-01258-8_46"},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Conradt, J., Cook, M., Berner, R., Lichtsteiner, P., Douglas, R.J., Delbruck, T.: A pencil balancing robot using a pair of AER dynamic vision sensors. In: IEEE International Symposium on Circuits and Systems (ISCAS), pp. 781\u2013784 (2009). https:\/\/doi.org\/10.1109\/ISCAS.2009.5117867","DOI":"10.1109\/ISCAS.2009.5117867"},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"223","DOI":"10.3389\/fnins.2013.00223","volume":"7","author":"T Delbruck","year":"2013","unstructured":"Delbruck, T., Lang, M.: Robotic goalie with 3\u00a0ms reaction time at 4% CPU load using event-based dynamic vision sensor. Front. Neurosci. 7, 223 (2013). https:\/\/doi.org\/10.3389\/fnins.2013.00223","journal-title":"Front. Neurosci."},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Rebecq, H., Gallego, G., Scaramuzza, D.: EMVS: event-based multi-view stereo. In: British Machine Vision Conference (BMVC), September 2016. https:\/\/doi.org\/10.5244\/C.30.63","DOI":"10.5244\/C.30.63"},{"key":"15_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1007\/978-3-319-46466-4_21","volume-title":"Computer Vision \u2013 ECCV 2016","author":"H Kim","year":"2016","unstructured":"Kim, H., Leutenegger, S., Davison, A.J.: Real-time 3D reconstruction and 6-DOF tracking with an event camera. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9910, pp. 349\u2013364. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46466-4_21"},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Rebecq, H., Gallego, G., Mueggler, E., Scaramuzza, D.: EMVS: event-based multi-view stereo\u20133D reconstruction with an event camera in real-time. Int. J. Comput. Vis. 1\u201321 (2017). https:\/\/doi.org\/10.1007\/s11263-017-1050-6","DOI":"10.1007\/s11263-017-1050-6"},{"key":"15_CR14","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1109\/LRA.2016.2645143","volume":"2","author":"H Rebecq","year":"2017","unstructured":"Rebecq, H., Horstsch\u00e4fer, T., Gallego, G., Scaramuzza, D.: EVO: a geometric approach to event-based 6-DOF parallel tracking and mapping in real-time. IEEE Robot. Autom. Lett. 2, 593\u2013600 (2017). https:\/\/doi.org\/10.1109\/LRA.2016.2645143","journal-title":"IEEE Robot. Autom. Lett."},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Rebecq, H., Horstschaefer, T., Scaramuzza, D.: Real-time visual-inertial odometry for event cameras using keyframe-based nonlinear optimization. In: British Machine Vision Conference (BMVC), September 2017","DOI":"10.5244\/C.31.16"},{"issue":"2","key":"15_CR16","doi-asserted-by":"publisher","first-page":"994","DOI":"10.1109\/LRA.2018.2793357","volume":"3","author":"A Rosinol Vidal","year":"2018","unstructured":"Rosinol Vidal, A., Rebecq, H., Horstschaefer, T., Scaramuzza, D.: Ultimate SLAM? Combining events, images, and IMU for robust visual SLAM in HDR and high speed scenarios. IEEE Robot. Autom. Lett. 3(2), 994\u20131001 (2018). https:\/\/doi.org\/10.1109\/LRA.2018.2793357","journal-title":"IEEE Robot. Autom. Lett."},{"key":"15_CR17","doi-asserted-by":"crossref","unstructured":"Censi, A., Scaramuzza, D.: Low-latency event-based visual odometry. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 703\u2013710 (2014). https:\/\/doi.org\/10.1109\/ICRA.2014.6906931","DOI":"10.1109\/ICRA.2014.6906931"},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Kueng, B., Mueggler, E., Gallego, G., Scaramuzza, D.: Low-latency visual odometry using event-based feature tracks. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, pp. 16\u201323, October 2016. https:\/\/doi.org\/10.1109\/IROS.2016.7758089","DOI":"10.1109\/IROS.2016.7758089"},{"key":"15_CR19","doi-asserted-by":"crossref","unstructured":"Weikersdorfer, D., Adrian, D.B., Cremers, D., Conradt, J.: Event-based 3D SLAM with a depth-augmented dynamic vision sensor. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 359\u2013364, June 2014. https:\/\/doi.org\/10.1109\/ICRA.2014.6906882","DOI":"10.1109\/ICRA.2014.6906882"},{"key":"15_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1007\/978-3-642-24028-7_62","volume-title":"Advances in Visual Computing","author":"J Kogler","year":"2011","unstructured":"Kogler, J., Humenberger, M., Sulzbachner, C.: Event-based stereo matching approaches for frameless address event stereo data. In: Bebis, G. (ed.) ISVC 2011. LNCS, vol. 6938, pp. 674\u2013685. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-24028-7_62"},{"issue":"2","key":"15_CR21","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1109\/TNNLS.2011.2180025","volume":"23","author":"P Rogister","year":"2012","unstructured":"Rogister, P., Benosman, R., Ieng, S.H., Lichtsteiner, P., Delbruck, T.: Asynchronous event-based binocular stereo matching. IEEE Trans. Neural Netw. Learn. Syst. 23(2), 347\u2013353 (2012). https:\/\/doi.org\/10.1109\/TNNLS.2011.2180025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"15_CR22","doi-asserted-by":"publisher","first-page":"48","DOI":"10.3389\/fnins.2014.00048","volume":"8","author":"LA Camunas-Mesa","year":"2014","unstructured":"Camunas-Mesa, L.A., Serrano-Gotarredona, T., Ieng, S.H., Benosman, R.B., Linares-Barranco, B.: On the use of orientation filters for 3D reconstruction in event-driven stereo vision. Front. Neurosci. 8, 48 (2014). https:\/\/doi.org\/10.3389\/fnins.2014.00048","journal-title":"Front. Neurosci."},{"key":"15_CR23","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511811685","volume-title":"Multiple View Geometry in Computer Vision","author":"R Hartley","year":"2003","unstructured":"Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, New York (2003). https:\/\/doi.org\/10.1017\/CBO9780511811685","edition":"2"},{"key":"15_CR24","doi-asserted-by":"crossref","unstructured":"Piatkowska, E., Belbachir, A.N., Gelautz, M.: Asynchronous stereo vision for event-driven dynamic stereo sensor using an adaptive cooperative approach. In: International Conference on Computer Vision Workshops (ICCVW), pp. 45\u201350 (2013). https:\/\/doi.org\/10.1109\/ICCVW.2013.13","DOI":"10.1109\/ICCVW.2013.13"},{"key":"15_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep40703","volume":"7","author":"M Osswald","year":"2017","unstructured":"Osswald, M., Ieng, S.H., Benosman, R., Indiveri, G.: A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems. Sci. Rep. 7, 1\u201312 (2017). https:\/\/doi.org\/10.1038\/srep40703. 40703","journal-title":"Sci. Rep."},{"issue":"4262","key":"15_CR26","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1126\/science.968482","volume":"194","author":"D Marr","year":"1976","unstructured":"Marr, D., Poggio, T.: Cooperative computation of stereo disparity. Science 194(4262), 283\u2013287 (1976). https:\/\/doi.org\/10.1126\/science.968482","journal-title":"Science"},{"issue":"1","key":"15_CR27","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/tie.2015.2477265","volume":"63","author":"S Schraml","year":"2016","unstructured":"Schraml, S., Belbachir, A.N., Bischof, H.: An event-driven stereo system for real-time 3-D 360 panoramic vision. IEEE Trans. Ind. Electron. 63(1), 418\u2013428 (2016). https:\/\/doi.org\/10.1109\/tie.2015.2477265","journal-title":"IEEE Trans. Ind. Electron."},{"key":"15_CR28","doi-asserted-by":"crossref","unstructured":"Schraml, S., Belbachir, A.N., Bischof, H.: Event-driven stereo matching for real-time 3D panoramic vision. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 466\u2013474, June 2015. https:\/\/doi.org\/10.1109\/CVPR.2015.7298644","DOI":"10.1109\/CVPR.2015.7298644"},{"key":"15_CR29","doi-asserted-by":"crossref","unstructured":"Gallego, G., Rebecq, H., Scaramuzza, D.: A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estimation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3867\u20133876 (2018). https:\/\/doi.org\/10.1109\/CVPR.2018.00407","DOI":"10.1109\/CVPR.2018.00407"},{"key":"15_CR30","doi-asserted-by":"crossref","unstructured":"Newcombe, R.A., Lovegrove, S.J., Davison, A.J.: DTAM: dense tracking and mapping in real-time. In: International Conference on Computer Vision (ICCV), pp. 2320\u20132327, November 2011. https:\/\/doi.org\/10.1109\/ICCV.2011.6126513","DOI":"10.1109\/ICCV.2011.6126513"},{"issue":"11","key":"15_CR31","doi-asserted-by":"publisher","first-page":"1723","DOI":"10.1109\/TNN.2011.2167239","volume":"22","author":"R Benosman","year":"2011","unstructured":"Benosman, R., Ieng, S.H., Rogister, P., Posch, C.: Asynchronous event-based Hebbian epipolar geometry. IEEE Trans. Neural Netw. 22(11), 1723\u20131734 (2011). https:\/\/doi.org\/10.1109\/TNN.2011.2167239","journal-title":"IEEE Trans. Neural Netw."},{"issue":"99","key":"15_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPAMI.2016.2574707","volume":"PP","author":"X Lagorce","year":"2016","unstructured":"Lagorce, X., Orchard, G., Gallupi, F., Shi, B.E., Benosman, R.: HOTS: a hierarchy of event-based time-surfaces for pattern recognition. IEEE Trans. Pattern Anal. Mach. Intell. PP(99), 1 (2016). https:\/\/doi.org\/10.1109\/TPAMI.2016.2574707","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"15_CR33","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.conb.2010.03.007","volume":"20","author":"SC Liu","year":"2010","unstructured":"Liu, S.C., Delbruck, T.: Neuromorphic sensory systems. Curr. Opin. Neurobiol. 20(3), 288\u2013295 (2010). https:\/\/doi.org\/10.1016\/j.conb.2010.03.007","journal-title":"Curr. Opin. Neurobiol."},{"issue":"3","key":"15_CR34","doi-asserted-by":"publisher","first-page":"2032","DOI":"10.1109\/lra.2018.2800793","volume":"3","author":"AZ Zhu","year":"2018","unstructured":"Zhu, A.Z., Thakur, D., Ozaslan, T., Pfrommer, B., Kumar, V., Daniilidis, K.: The multivehicle stereo event camera dataset: an event camera dataset for 3D perception. IEEE Robot. Autom. Lett. 3(3), 2032\u20132039 (2018). https:\/\/doi.org\/10.1109\/lra.2018.2800793","journal-title":"IEEE Robot. Autom. Lett."},{"key":"15_CR35","doi-asserted-by":"crossref","unstructured":"Mur-Artal, R., Tardos, J.D.: Probabilistic semi-dense mapping from highly accurate feature-based monocular SLAM. In: Robotics: Science and Systems (RSS) (2015). https:\/\/doi.org\/10.15607\/RSS.2015.XI.041","DOI":"10.15607\/RSS.2015.XI.041"},{"key":"15_CR36","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1177\/0278364917691115","volume":"36","author":"E Mueggler","year":"2017","unstructured":"Mueggler, E., Rebecq, H., Gallego, G., Delbruck, T., Scaramuzza, D.: The event-camera dataset and simulator: event-based data for pose estimation, visual odometry, and SLAM. Int. J. Robot. Res. 36, 142\u2013149 (2017). https:\/\/doi.org\/10.1177\/0278364917691115","journal-title":"Int. J. Robot. Res."},{"issue":"10","key":"15_CR37","doi-asserted-by":"publisher","first-page":"2333","DOI":"10.1109\/JSSC.2014.2342715","volume":"49","author":"C Brandli","year":"2014","unstructured":"Brandli, C., Berner, R., Yang, M., Liu, S.C., Delbruck, T.: A 240 $$\\times $$ 180 130\u00a0dB 3\u00a0us latency global shutter spatiotemporal vision sensor. IEEE J. Solid-State Circuits 49(10), 2333\u20132341 (2014). https:\/\/doi.org\/10.1109\/JSSC.2014.2342715","journal-title":"IEEE J. Solid-State Circuits"},{"key":"15_CR38","doi-asserted-by":"crossref","unstructured":"Furgale, P., Rehder, J., Siegwart, R.: Unified temporal and spatial calibration for multi-sensor systems. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS) (2013). https:\/\/doi.org\/10.1109\/IROS.2013.6696514","DOI":"10.1109\/IROS.2013.6696514"},{"issue":"2","key":"15_CR39","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1109\/tpami.2012.156","volume":"35","author":"A Hosni","year":"2013","unstructured":"Hosni, A., Rhemann, C., Bleyer, M., Rother, C., Gelautz, M.: Fast cost-volume filtering for visual correspondence and beyond. IEEE Trans. Pattern Anal. Mach. Intell. 35(2), 504\u2013511 (2013). https:\/\/doi.org\/10.1109\/tpami.2012.156","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"15_CR40","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1109\/tpami.2007.1166","volume":"30","author":"H Hirschmuller","year":"2008","unstructured":"Hirschmuller, H.: Stereo processing by semiglobal matching and mutual information. IEEE Trans. Pattern Anal. Mach. Intell. 30(2), 328\u2013341 (2008). https:\/\/doi.org\/10.1109\/tpami.2007.1166","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01246-5_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,5]],"date-time":"2022-10-05T00:13:27Z","timestamp":1664928807000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01246-5_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030012458","9783030012465"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01246-5_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 October 2018","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"}]}}