Rezultaty
This report will specify the experience scenarios user requirements and platformsimulations functional requirements derived from the input received from the use case partners
Pilot plan and evaluation planReport describing the plans for testing evaluating the eTryOn platform in pilots The report defines the stakeholders to be involved in each pilot as well as the pilot operation requirements the testing and evaluation protocols the evaluation criteria the tools for collecting user feedback etc
Pilot evaluation reportReport describing the end user tests of trying virtual garments in comparison to physical garments and qualitative evaluations of such by studies of imagesphotos in juxtaposition
Ethical, legal and privacy requirements and guidelines for implementationReport on ethical legal and privacy requirements of eTryOn and provision of guidelines for ethics privacybydesign technology development
Ethical, legal and privacy requirements and guidelines for implementation (upd)Updated report on ethical legal and privacy requirements of eTryOn enabling the pilots
Architecture and integration ProtocolA set of architectural diagrams covering i the structure and specification of the software components and ii important interaction sequences envisaged for the pilots Integration protocols described through API and data format definitions
In this deliverable the basic working version will be provided in order to be used for iterative testing
Core functionalities of the mobile application and software for the self-scanning applicationsIn this deliverable the core abstract classes and functionalities with existing software and avatars for development will be delivered
Pattern recognition on fashion imagery - working modelIn this deliverable we will expand MLZs deep learning research on object detection for fashion images by including patterns Also this deliverable will include a backbone design for the WP module including existing software and abstract classes so as to enable fast integration in WP4
Fashion trend analysis and prediction modelWe will use the visual content of images detected in D31 to build a first set of fashion trend analysis and prediction models
First working version of the mobile application and software for the self-scanning applicationsIn this deliverable a basic working version used for iterative testing of the rigged animatable 3D avatars and the self scanning mobile application will be delivered
Core functionalities of the software for the avatar-garment simulations and basic garment collection for development purposesIn this deliverable the abstract classes of the simulation algorithms the existing software and the first set of garments will be provided
Initial version of the eTryOn interaction systemsSoftware implementation and further development of i the VR system that simulates the physical tryons for immersive experiences ii mobile application for the fashion consumers for use in social media iii AR application for virtually trying on clothes This deliverable will feed the pilot phase
Core version of the eTryOn interaction systemsSoftware implementation of i the VR system that simulates the physical tryons for immersive experiences ii mobile application for the fashion consumers for use in social media iii AR application for virtually trying on clothes
Initial project publicity material consisting of the project website poster leaflet and factsheet as well as the projects social media accounts ie Twitter LinkedIn and Facebook
Initial eTryOn middleware & APIsRunning software services with documentation and monitoring that fulfil the specifications required for the iterative testing
Updated guidelines for data collection storage and ownership for all eTryOn activities prior to the pilots to incorporate any new guidelines that might rise
Data management planPresent the guidelines for data collection storage and ownership for all eTryOn activities
Publikacje
Autorzy:
Orestis Sarakatsanos, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris, Dongjoe Shin, David Gavilan, Jim Downing
Opublikowane w:
2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Numer 4-8 Oct. 2021, 2021, Strona(/y) 40-45, ISBN 978-1-6654-1298-8
Wydawca:
IEEE
DOI:
10.1109/ismar-adjunct54149.2021.00018
Autorzy:
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Martina Pugliese, Manjunath Sudheer, Delphine Rabiller, Symeon Papadopoulos and Ioannis Kompatsiaris
Opublikowane w:
Third Workshop on Recommender Systems in Fashion, 15th ACM Conference on Recommender Systems, Numer 27th September-1st October 2021, 2021
Wydawca:
Third Workshop on Recommender Systems in Fashion
Autorzy:
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris
Opublikowane w:
6th ACM Conference on Recommender Systems 2022, Numer 18th-23rd September 2022, 2022
Wydawca:
Presented on 6th ACM Conference on Recommender Systems 2022
DOI:
10.48550/arxiv.2207.13458
Autorzy:
Stefanos – Iordanis Papadopoulos; Christos Koutlis; Anastasios Papazoglou – Chalikias,; Symeon Papadopoulos; Spiros Nikolopoulos
Opublikowane w:
CVPR’s “Ethical Considerations in Creative applications of Computer Vision” workshop, Numer June 17 - 2022, 2022
Wydawca:
t CVPR’s Second Workshop on Ethical Considerations in Creative applications of Computer Vision, 2022.
DOI:
10.48550/arxiv.2212.07187
Autorzy:
Anastasios Papazoglou Chalikias
Opublikowane w:
SETN '22: Proceedings of the 12th Hellenic Conference on Artificial Intelligence, Numer Article No.: 62, 2022, Strona(/y) 1–11
Wydawca:
SETN '22: Proceedings of the 12th Hellenic Conference on Artificial Intelligence
DOI:
10.1145/3549737.3549803
Autorzy:
Konstantinos Oikonomou, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris, David Gavilan, Jim Downing
Opublikowane w:
2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Numer 4-8 Oct. 2021, 2021, Strona(/y) 46-51, ISBN 978-1-6654-1298-8
Wydawca:
IEEE
DOI:
10.1109/ismar-adjunct54149.2021.00019
Autorzy:
Stefanos-Iordanis Papadopoulos; Christos Koutlis; Symeon Papadopoulos; Ioannis Kompatsiaris
Opublikowane w:
International Journal of Multimedia Information Retrieval, Numer 11(4), 2022, Strona(/y) 717-729 (2022), ISSN 2192-6611
Wydawca:
International Journal of Multimedia Information Retrieval
DOI:
10.1007/s13735-022-00262-5
Autorzy:
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris
Opublikowane w:
Journal of Visual Communication and Image Representation, 2023, ISSN 1047-3203
Wydawca:
Academic Press
DOI:
10.1016/j.jvcir.2022.103741
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