{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:07Z","timestamp":1750220827220,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,10]],"date-time":"2019-11-10T00:00:00Z","timestamp":1573344000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100012774","name":"Innovationsfonden","doi-asserted-by":"publisher","award":["6151-00006B"],"award-info":[{"award-number":["6151-00006B"]}],"id":[{"id":"10.13039\/100012774","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,11,10]]},"DOI":"10.1145\/3343055.3359699","type":"proceedings-article","created":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T19:43:22Z","timestamp":1573155802000},"page":"275-287","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Digital Assistance for Quality Assurance"],"prefix":"10.1145","author":[{"given":"Jo\u00e3o","family":"Belo","sequence":"first","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Fender","sequence":"additional","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiare","family":"Feuchtner","sequence":"additional","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaj","family":"Gr\u00f8nb\u00e6k","sequence":"additional","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,11,10]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"H. Aghajan and A. Cavallaro. 2009. Multi-Camera Networks: Principles and Applications. Elsevier Science. 2009455625 https:\/\/books.google.dk\/books?id=XA_6o2dhTGEC  H. Aghajan and A. Cavallaro. 2009. Multi-Camera Networks: Principles and Applications. Elsevier Science. 2009455625 https:\/\/books.google.dk\/books?id=XA_6o2dhTGEC"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01421808"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/502348.502354"},{"key":"e_1_3_2_2_4_1","unstructured":"Rein Van Den Boomgaard and Joost Van De Weijer. 2002. Robust Estimation of Orientation for Texture Analysis. (2002).  Rein Van Den Boomgaard and Joost Van De Weijer. 2002. Robust Estimation of Orientation for Texture Analysis. (2002)."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.1992.183317"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0010-0285(75)90003--1"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_2_8_1","volume-title":"Proceedings of the 31st International Conference on International Conference on Machine Learning -","volume":"32","author":"Donahue Jeff","year":"2014","unstructured":"Jeff Donahue , Yangqing Jia , Oriol Vinyals , Judy Hoffman , Ning Zhang , Eric Tzeng , and Trevor Darrell . 2014 . DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition . In Proceedings of the 31st International Conference on International Conference on Machine Learning - Volume 32 (ICML'14). JMLR.org, I--647--I--655. http:\/\/dl.acm.org\/citation.cfm?id=3044805.3044879 Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell. 2014. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. In Proceedings of the 31st International Conference on International Conference on Machine Learning - Volume 32 (ICML'14). JMLR.org, I--647--I--655. http:\/\/dl.acm.org\/citation.cfm?id=3044805.3044879"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Abhishek Dutta and Andrew Zisserman. 2019. The VIA Annotation Software for Images Audio and Video. (2019).  Abhishek Dutta and Andrew Zisserman. 2019. The VIA Annotation Software for Images Audio and Video. (2019).","DOI":"10.1145\/3343031.3350535"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3279778.3279794"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_13_1","unstructured":"Tong He Zhi Zhang Hang Zhang Zhongyue Zhang Junyuan Xie and Mu Li. 2018. Bag of Tricks for Image Classification with Convolutional Neural Networks. (2018).  Tong He Zhi Zhang Hang Zhang Zhongyue Zhang Junyuan Xie and Mu Li. 2018. Bag of Tricks for Image Classification with Convolutional Neural Networks. (2018)."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.245"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2011.6092386"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.126"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1518701.1518724"},{"volume-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Kornblith Simon","key":"e_1_3_2_2_18_1","unstructured":"Simon Kornblith , Jonathon Shlens , and Quoc V. Le . 2019. Do Better ImageNet Models Transfer Better? . In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Simon Kornblith, Jonathon Shlens, and Quoc V. Le. 2019. Do Better ImageNet Models Transfer Better?. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"volume-title":"Advances in Neural Information Processing Systems 25","author":"Krizhevsky Alex","key":"e_1_3_2_2_19_1","unstructured":"Alex Krizhevsky , Ilya Sutskever , and Geoffrey E Hinton . 2012. ImageNet Classification with Deep Convolutional Neural Networks . In Advances in Neural Information Processing Systems 25 , F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger (Eds.). Curran Associates, Inc. , 1097--1105. http:\/\/papers.nips.cc\/paper\/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012. ImageNet Classification with Deep Convolutional Neural Networks. In Advances in Neural Information Processing Systems 25, F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger (Eds.). Curran Associates, Inc., 1097--1105. http:\/\/papers.nips.cc\/paper\/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2012.48"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/VRAIS.1998.658416"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ETFA.2014.7005252"},{"key":"e_1_3_2_2_25_1","unstructured":"Luis Perez and Jason Wang. 2017. The Effectiveness of Data Augmentation in Image Classification using Deep Learning. (2017).  Luis Perez and Jason Wang. 2017. The Effectiveness of Data Augmentation in Image Classification using Deep Learning. (2017)."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2006.297800"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2709746"},{"key":"e_1_3_2_2_28_1","unstructured":"PyTorch. 2019. PyTorch - An open source deep learning platform that provides a seamless path from research prototyping to production deployment. (2019). https:\/\/pytorch.org\/ Accessed: 6\/25\/2019.  PyTorch. 2019. PyTorch - An open source deep learning platform that provides a seamless path from research prototyping to production deployment. (2019). https:\/\/pytorch.org\/ Accessed: 6\/25\/2019."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Roman R\"adle Hans-Christian Jetter Jonathan Fischer Inti Gabriel Clemens N. Klokmose Harald Reiterer and Christian Holz. 2018. PolarTrack: Optical Outside-In Device Tracking that Exploits Display Polarization. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (proceedings of the 2018 chi conference on human factors in computing systems ed.). ACM. https:\/\/www.microsoft.com\/en-us\/research\/publication\/polartrack-optical-outside-device-tracking-exploits-display-polarization\/  Roman R\"adle Hans-Christian Jetter Jonathan Fischer Inti Gabriel Clemens N. Klokmose Harald Reiterer and Christian Holz. 2018. PolarTrack: Optical Outside-In Device Tracking that Exploits Display Polarization. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (proceedings of the 2018 chi conference on human factors in computing systems ed.). ACM. https:\/\/www.microsoft.com\/en-us\/research\/publication\/polartrack-optical-outside-device-tracking-exploits-display-polarization\/","DOI":"10.1145\/3173574.3174071"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/280814.280861"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.5555\/322690.322694"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/302979.303113"},{"volume-title":"Advances in Neural Information Processing Systems 28","author":"Ren Shaoqing","key":"e_1_3_2_2_35_1","unstructured":"Shaoqing Ren , Kaiming He , Ross Girshick , and Jian Sun . 2015. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks . In Advances in Neural Information Processing Systems 28 , C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, and R. Garnett (Eds.). Curran Associates, Inc. , 91--99. http:\/\/papers.nips.cc\/paper\/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. In Advances in Neural Information Processing Systems 28, C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, and R. Garnett (Eds.). Curran Associates, Inc., 91--99. http:\/\/papers.nips.cc\/paper\/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2008.4637328"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1037\/0096-3445.124.2.207"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.171.3972.701"},{"volume-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations.","author":"Simonyan K.","key":"e_1_3_2_2_39_1","unstructured":"K. Simonyan and A. Zisserman . 2015 . Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations. K. Simonyan and A. Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_40_1","unstructured":"Sony. 2019. Imaging Edge Remote. (2019). https:\/\/imagingedge.sony.net\/en-us\/ie-desktop.html Accessed: 6\/22\/2019.  Sony. 2019. Imaging Edge Remote. (2019). https:\/\/imagingedge.sony.net\/en-us\/ie-desktop.html Accessed: 6\/22\/2019."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/642611.642626"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-017-0846--4"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.511"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/159544.159555"},{"volume-title":"How transferable are features in deep neural networks? In Advances in Neural Information Processing Systems 27","author":"Yosinski Jason","key":"e_1_3_2_2_47_1","unstructured":"Jason Yosinski , Jeff Clune , Yoshua Bengio , and Hod Lipson . 2014. How transferable are features in deep neural networks? In Advances in Neural Information Processing Systems 27 , Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.). Curran Associates, Inc. , 3320--3328. http:\/\/papers.nips.cc\/paper\/5347-how-transferable-are-features-in-deep-neural-networks.pdf Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. 2014. How transferable are features in deep neural networks? In Advances in Neural Information Processing Systems 27, Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.). Curran Associates, Inc., 3320--3328. http:\/\/papers.nips.cc\/paper\/5347-how-transferable-are-features-in-deep-neural-networks.pdf"},{"key":"e_1_3_2_2_48_1","volume-title":"Proceedings of the 14th International Conference on Human-computer Interaction: Design and Development Approaches -","author":"Zimmerman Guy W.","year":"2022","unstructured":"Guy W. Zimmerman , Dale Klopfer , G. Michael Poor , Julie Barnes , Laura Leventhal , and Samuel D. Jaffee . 2011. \"How Do I Line Up?\": Reducing Mental Transformations to Improve Performance . In Proceedings of the 14th International Conference on Human-computer Interaction: Design and Development Approaches - Volume Part I (HCII'11). Springer-Verlag, Berlin, Heidelberg, 432--440. http:\/\/dl.acm.org\/citation.cfm?id= 2022 384.2022435 Guy W. Zimmerman, Dale Klopfer, G. Michael Poor, Julie Barnes, Laura Leventhal, and Samuel D. Jaffee. 2011. \"How Do I Line Up?\": Reducing Mental Transformations to Improve Performance. In Proceedings of the 14th International Conference on Human-computer Interaction: Design and Development Approaches - Volume Part I (HCII'11). Springer-Verlag, Berlin, Heidelberg, 432--440. http:\/\/dl.acm.org\/citation.cfm?id=2022384.2022435"}],"event":{"name":"ISS '19: Interactive Surfaces and Spaces","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Daejeon Republic of Korea","acronym":"ISS '19"},"container-title":["Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3343055.3359699","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3343055.3359699","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:24Z","timestamp":1750202004000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3343055.3359699"}},"subtitle":["Augmenting Workspaces Using Deep Learning for Tracking Near-Symmetrical Objects"],"short-title":[],"issued":{"date-parts":[[2019,11,10]]},"references-count":47,"alternative-id":["10.1145\/3343055.3359699","10.1145\/3343055"],"URL":"https:\/\/doi.org\/10.1145\/3343055.3359699","relation":{},"subject":[],"published":{"date-parts":[[2019,11,10]]},"assertion":[{"value":"2019-11-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}