{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T05:03:35Z","timestamp":1772082215373,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":28,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540219811","type":"print"},{"value":"9783540246732","type":"electronic"}],"license":[{"start":{"date-parts":[[2004,1,1]],"date-time":"2004-01-01T00:00:00Z","timestamp":1072915200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-24673-2_38","type":"book-chapter","created":{"date-parts":[[2011,1,12]],"date-time":"2011-01-12T18:59:46Z","timestamp":1294858786000},"page":"469-480","source":"Crossref","is-referenced-by-count":28,"title":["Reliable Fiducial Detection in Natural Scenes"],"prefix":"10.1007","author":[{"given":"David","family":"Claus","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew W.","family":"Fitzgibbon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"38_CR1","doi-asserted-by":"crossref","unstructured":"Klein, G., Drummond, T.: Tightly integrated sensor fusion for robust visual tracking. In: Proc. BMVC, vol.\u00a02, pp. 787\u2013796 (2002)","DOI":"10.5244\/C.16.77"},{"key":"38_CR2","unstructured":"Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proc. CVPR (2001)"},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Neumann, U., Bajura, M.: Dynamic registration correction in augmented-reality systems. In: IEEE Virtual Reality Annual Int\u2019l Symposium, pp. 189\u2013196 (1995)","DOI":"10.1109\/VRAIS.1995.512495"},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Welch, G., Bishop, G., et al.: The HiBall tracker: High-performance wide-area tracking for virtual and augmented environments. In: Proc. ACM VRST, pp. 1\u201310 (1999)","DOI":"10.1145\/323663.323664"},{"key":"38_CR5","unstructured":"Mellor, J.P.: Enhanced reality visualization in a surgical environment. A.I. Technical Report 1544, MIT, Artificial Intelligence Laboratory (1995)"},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"State, A., et al.: Superior augmented reality registration by integrating landmark tracking and magnetic tracking. In: SIGGRAPH, pp. 429\u2013438 (1996)","DOI":"10.1145\/237170.237282"},{"key":"38_CR7","unstructured":"Cho, Y., Neumann, U.: Multi-ring color fiducial systems for scalable fiducial tracking augmented reality. In: Proc. of IEEE VRAIS (1998)"},{"key":"38_CR8","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1016\/S0262-8856(00)00105-0","volume":"19","author":"D. Scharstein","year":"2001","unstructured":"Scharstein, D., Briggs, A.: Real-time recognition of self-similar landmarks. Image and Vision Computing\u00a019, 763\u2013772 (2001)","journal-title":"Image and Vision Computing"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Rekimoto, J., Ayatsuka, Y.: Cybercode: Designing augmented reality environments with visual tags. In: Proceedings of DARE (2000)","DOI":"10.1145\/354666.354667"},{"key":"38_CR10","doi-asserted-by":"crossref","unstructured":"Kato, H., Billinghurst, M.: Marker tracking and hmd calibration for a video-based augmented reality conferencing system. In: Int\u2019l Workshop on AR, pp. 85\u201394 (1999)","DOI":"10.1109\/IWAR.1999.803809"},{"key":"38_CR11","unstructured":"Owen, C., Xiao, F., Middlin, P.: What is the best fiducial? In: The First IEEE International Augmented Reality Toolkit Workshop, pp. 98\u2013105 (2002)"},{"key":"38_CR12","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1007\/s007790200020","volume":"6","author":"D.L. Ipina de","year":"2002","unstructured":"de Ipina, D.L., et al.: Trip: a low-cost vision-based location system for ubiquitous computing. Personal and Ubiquitous Computing\u00a06, 206\u2013219 (2002)","journal-title":"Personal and Ubiquitous Computing"},{"key":"38_CR13","unstructured":"Naimark, L., Foxlin, E.: Circular data matrix fiducial system and robust image processing for a wearable vision-inertial self-tracker. In: ISMAR (2002)"},{"key":"38_CR14","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1142\/S0218195994000227","volume":"4","author":"A. Efrat","year":"1994","unstructured":"Efrat, A., Gotsman, C.: Subpixel image registration using circular fiducials. International Journal of Computational Geometry and Applications\u00a04, 403\u2013422 (1994)","journal-title":"International Journal of Computational Geometry and Applications"},{"key":"38_CR15","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1023\/A:1008123110489","volume":"39","author":"A.M. Bruckstein","year":"2000","unstructured":"Bruckstein, A.M., Holt, R.J., Huang, T.S., Netravali, A.N.: New devices for 3D pose estimation: Mantis eyes, Agam paintings, sundials, and other space fiducials. International Journal of Computer Vision\u00a039, 131\u2013139 (2000)","journal-title":"International Journal of Computer Vision"},{"key":"38_CR16","unstructured":"Wellner, P.: Adaptive thresholding for the digital desk. Technical Report EPC- 1993-110, Xerox (1993)"},{"key":"38_CR17","unstructured":"Malbezin, P., Piekarski, W., Thomas, B.: Measuring artoolkit accuracy in long distance tracking experiments. In: 1st Int\u2019l AR Toolkit Workshop (2002)"},{"key":"38_CR18","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T. Cover","year":"1967","unstructured":"Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Information Theory\u00a013, 57\u201367 (1967)","journal-title":"IEEE Trans. Information Theory"},{"key":"38_CR19","unstructured":"Ripley, B.D.: Why do nearest-neighbour algorithms do so well? SIMCAT (Similarity and Categorization), Edinburgh (1997)"},{"key":"38_CR20","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1023\/A:1007626913721","volume":"38","author":"D.R. Wilson","year":"2000","unstructured":"Wilson, D.R., Martinez, T.R.: Reduction techniques for instance-based learning algorithms. Machine Learning\u00a038, 257\u2013286 (2000)","journal-title":"Machine Learning"},{"key":"38_CR21","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1007\/BF01759061","volume":"6","author":"R.F. Sproull","year":"1991","unstructured":"Sproull, R.F.: Refinements to nearest-neighbor searching in k-dimensional trees. Algorithmica\u00a06, 579\u2013589 (1991)","journal-title":"Algorithmica"},{"key":"38_CR22","doi-asserted-by":"crossref","unstructured":"Berchtold, S., Ertl, B., Keim, D.A., Kriegel, H.P., Seidl, T.: Fast nearest neighbor search in high-dimensional spaces. In: Proc. ICDE, pp. 209\u2013218 (1998)","DOI":"10.1145\/263661.263671"},{"key":"38_CR23","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1109\/TIT.1968.1054155","volume":"14","author":"P. Hart","year":"1968","unstructured":"Hart, P.: The condensed nearest neighbor rule. IEEE Trans. Information Theory\u00a014, 515\u2013516 (1968)","journal-title":"IEEE Trans. Information Theory"},{"key":"38_CR24","volume-title":"Pattern Classification","author":"R. Duda","year":"2001","unstructured":"Duda, R., Hart, P., Stork, D.: Pattern Classification, 2nd edn. John-Wiley, Chichester (2001)","edition":"2"},{"key":"38_CR25","first-page":"57","volume":"10","author":"S. Cost","year":"1993","unstructured":"Cost, S., Salzberg, S.: A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning\u00a010, 57\u201378 (1993)","journal-title":"Machine Learning"},{"key":"38_CR26","doi-asserted-by":"crossref","unstructured":"Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of the 4th ALVEY Vision Conference, pp. 147\u2013151 (1988)","DOI":"10.5244\/C.2.23"},{"key":"38_CR27","unstructured":"Claus, D.: Video-based surveying for large outdoor environments. First Year Report, University of Oxford (2004)"},{"key":"38_CR28","unstructured":"http:\/\/www.robots.ox.ac.uk\/~dclaus\/eccv\/fiddetect.mpg"}],"container-title":["Lecture Notes in Computer Science","Computer Vision - ECCV 2004"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-24673-2_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T17:17:07Z","timestamp":1740849427000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-24673-2_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540219811","9783540246732"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-24673-2_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004]]}}}