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In particular, environment lighting estimation is essential to render visually coherent virtual objects that need to be overlaid on physical scenes in mobile AR. In this work, we explore the key research questions in lighting understanding for an emerging application domain, mobile AR on multi-camera handheld devices, particularly try-on applications where end users leverage handheld mobile devices, such as smartphones, to overlay products of interest on their faces. Mobile AR try-on apps promote online shopping and often require photorealism to provide user experiences on par with physical try-on.<\/jats:p>","DOI":"10.1145\/3701701.3701710","type":"journal-article","created":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T22:26:35Z","timestamp":1729635995000},"page":"25-29","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Camera Lighting Estimation for Mobile Augmented Reality"],"prefix":"10.1145","volume":"28","author":[{"given":"Yiqin","family":"Zhao","sequence":"first","affiliation":[{"name":"Worcester Polytechnic Institute, Worcester, MA, USA"}]},{"given":"Sean","family":"Fanello","sequence":"additional","affiliation":[{"name":"Google, USA"}]},{"given":"Tian","family":"Guo","sequence":"additional","affiliation":[{"name":"Worcester Polytechnic Institute, Worcester, MA, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,10,22]]},"reference":[{"volume-title":"Conference on Computer Vision and Pattern Recognition","author":"Garon M.","key":"e_1_2_1_1_1","unstructured":"M. Garon, K. Sunkavalli, S. Hadap, N. Carr and J. F. Lalonde. 2019. Fast spatially-varying indoor lighting estimation. Conference on Computer Vision and Pattern Recognition, Long Beach, CA."},{"volume-title":"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services (Virtual Event).","author":"Zhao Y.","key":"e_1_2_1_2_1","unstructured":"Y. Zhao and T. Guo. 2021. Xihe: A 3D visionbased lighting estimation framework for mobile augmented reality. Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services (Virtual Event)."},{"key":"e_1_2_1_3_1","volume-title":"ACM SIGGRAPH 2006 Courses","author":"Debevec P.","year":"2006","unstructured":"P. Debevec, Image-based lighting, ACM SIGGRAPH 2006 Courses, 2006."},{"volume-title":"Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, Genoa.","author":"Paysan P.","key":"e_1_2_1_4_1","unstructured":"P. Paysan, R. Knothe, B. Amberg, S. Romdhani and T. Vetter. 2009. A 3D face model for pose and illumination invariant face recognition. Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, Genoa."},{"volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (Virtual Event).","author":"Somanath G.","key":"e_1_2_1_5_1","unstructured":"G. Somanath and D. Kurz. 2021. HDR environment map estimation for real-time augmented reality. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (Virtual Event)."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130891"},{"volume-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.","author":"Zhao Y.","key":"e_1_2_1_7_1","unstructured":"Y. Zhao, C. Ma, H. Huang and T. Guo. 2022. LITAR: Visually coherent lighting for mobile augmented reality. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies."},{"key":"e_1_2_1_8_1","doi-asserted-by":"crossref","unstructured":"W.-S. Lai Y. Shih L.-C. Chu X. Wu S.-F. Tsai M. Krainin D. Sun and C.-K. Liang. 2022. Face deblurring using dual camera fusion on mobile phones. ACM Transactions on Graphics.","DOI":"10.1145\/3528223.3530131"},{"key":"e_1_2_1_9_1","unstructured":"I. Grishchenko A. Ablavatski Y. Kartynnik K. Raveendran and M. Grundmann. 2020. Attention mesh: High-fidelity face mesh prediction in real-time. arXiv preprint arXiv:2006.10962."}],"container-title":["GetMobile: Mobile Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701701.3701710","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701701.3701710","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:44Z","timestamp":1750295924000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701701.3701710"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,22]]},"references-count":9,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,10,22]]}},"alternative-id":["10.1145\/3701701.3701710"],"URL":"https:\/\/doi.org\/10.1145\/3701701.3701710","relation":{},"ISSN":["2375-0529","2375-0537"],"issn-type":[{"type":"print","value":"2375-0529"},{"type":"electronic","value":"2375-0537"}],"subject":[],"published":{"date-parts":[[2024,10,22]]},"assertion":[{"value":"2024-10-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}