Augmented Reality Based Fashion Store
Pages 437 - 442
Abstract
By connecting the divide between in-store and online purchases, augmented reality (AR) holds immense promise for enhancing the customer journey in the fashion retail industry. Leading enterprises are adopting AR to address customer challenges and enrich the shopping encounter, even though the current utilization rate remains low at 1%. AR in fashion retail empowers companies to transform their product catalogs into captivating 3D experiences, offering customers an engaging, interactive, and educational way to explore products. Furthermore, AR not only resolves sizing issues and reduces return rates, but it also has the potential to eventually boost consumer satisfaction and loyalty. Moreover, AR facilitates virtual clothing trials, making it a perfect match for fashion enthusiasts. Various retailers are testing the waters with AR to attract a larger customer base, while Walmart leverages this technology to expedite item delivery and movement. In summary, augmented reality (AR) stands as an innovative and forward-thinking technology with the power to reshape the apparel retail sector, granting consumers a personalized, enjoyable, and seamless buying experience.
References
[1]
Logaldo, Mara. "Augmented bodies: functional and rhetorical uses of augmented reality in fashion." Pólemos 10.1 (2016): 125-141.
[2]
Man, Li, Wang Xiao-yu, and Meng Hui-ling. "Face automatic detection based on elliptic skin model and improved AdaBoost algorithm." International Journal of Signal Processing, Image Processing and Pattern Recognition 8.2 (2015): 227-234.
[3]
Navaz, A. S. Syed & Nathan, Asha & Venkateswararao, Kuna, “Face Recognition and Detection with New Image Enhancement Techniques. Journal of Advanced Research in Dynamical and Control Systems. Vol 10,” 2018. [Online].
[4]
Kathi, Mohan Goud, and Jakeer Hussain Shaik. "An Optimised Allotment and Tracking Using Django and Opencv." Ingénierie des Systèmes d'Information 26.2 (2021).
[5]
Jayamini, Chamodi, "The use of augmented reality to deliver enhanced user experiences in fashion industry." Lecture Notes in Computer Science 12936 (2021).
[6]
Wang, Chao-Hung, Yi-Chen Chiang, and Mao-Jiun Wang. "Evaluation of an augmented reality embedded on-line shopping system." Procedia Manufacturing 3 (2015): 5624-5630.
[7]
Watson, Anna, Bethan Alexander, and Leyla Salavati. "The impact of experiential augmented reality applications on fashion purchase intention." International Journal of Retail & Distribution Management (2018).
[8]
SHIN, Myoung-Ho, Young-Min Lee, and Jin-Hwan KIM. "Impact factors analysis on AR shopping service's immersion." Journal of Distribution Science 17.12 (2019): 13-21.
[9]
Lin, Guo-Shiang, and Tung-Sheng Tsai. "A face tracking method using feature point tracking." 2012 International Conference on Information Security and Intelligent Control. IEEE, 2012.
[10]
Alqahtani, Faleh, Vinod Chandran, and Jasmine Banks. "3d face tracking using stereo camera." 2018 1st International Conference on Computer Applications & Information Security (ICCAIS). IEEE, 2018.
[11]
Wang, Peng, and Qiang Ji. "Robust face tracking via collaboration of generic and specific models." IEEE transactions on image processing 17.7 (2008): 1189-1199.
[12]
La Cascia, Marco, Stan Sclaroff, and Vassilis Athitsos. "Fast, reliable head tracking under varying illumination: An approach based on registration of texture-mapped 3D models." IEEE Transactions on pattern analysis and machine intelligence 22.4 (2000): 322-336.
[13]
Duffner, Stefan, and Jean-Marc Odobez. "Track creation and deletion framework for long-term online multiface tracking." IEEE Transactions on image processing 22.1 (2012): 272-285.
[14]
Dornaika, Fadi, and Franck Davoine. "On appearance based face and facial action tracking." IEEE transactions on circuits and systems for video technology 16.9 (2006): 1107-1124.
[15]
Vadakkepat, Prahlad, "Multimodal approach to human-face detection and tracking." IEEE transactions on industrial electronics 55.3 (2008): 1385-1393.
[16]
Qi, Yuankai, "Siamese local and global networks for robust face tracking." IEEE Transactions on Image Processing 29 (2020): 9152-9164.
[17]
Abuzneid, Mohannad A., and Ausif Mahmood. "Enhanced human face recognition using LBPH descriptor, multi-KNN, and back- propagation neural network." IEEE access 6 (2018): 20641-20651.
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August 2023
783 pages
ISBN:9798400700224
DOI:10.1145/3607947
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Publication History
Published: 28 September 2023
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IC3 2023
IC3 2023: 2023 Fifteenth International Conference on Contemporary Computing
August 3 - 5, 2023
Noida, India
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