Next-Level 3D Scanning: Precision, Efficiency, and Cost-Effective Avatars - 24.71

G. Augello et al., "Next-Level 3D Scanning: Precision, Efficiency, and Cost-Effective Avatars", Proc. of 3DBODY.TECH 2024 - 15th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 22-23 Oct. 2024, #71.

Title:

Next-Level 3D Scanning: Precision, Efficiency, and Cost-Effective Avatars

Authors:

Giulio AUGELLO, Vincenzo ARMANDI, Silvano CARRADORI, Gustavo MARFIA

Alma Mater Studiorum - University of Bologna, Bologna, Italy

Abstract:

In recent years, the fashion and e-commerce industries have experienced a growing demand for technologies that capture accurate real-world data, such as 3D models, to enhance user shopping experiences and improve sales optimization. Although numerous solutions exist, many face limitations in accessibility and application.
Our invention introduces a cutting-edge 3D scanning system capable of creating highly detailed avatars with precise measurements, significantly faster and at a fraction of the cost of the comparable current market offerings.
Leveraging an automatic body measurement extraction algorithm, the system analyzes acquired data to accurately identify key body measurements, capturing a comprehensive and detailed representation of the individual.
The designed scanning booth provides a controlled environment, ensuring high-quality results efficiently and reliably.
An integrated management platform allows users to view, edit, and apply their avatars in various contexts, ensuring a complete and interactive user experience. Concluding with a combination of speed, price-effectiveness and avatar quality our invention may stands out as a disruptive force in the 3D scanning market, offering a superior and more accessible solution for businesses and consumers alike.

Abstract:

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Presentation:

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Details:

Proceedings: 3DBODY.TECH 2024, 22-23 Oct. 2024, Lugano, Switzerland
Paper/Presentation: #71
DOI: -

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Proceedings: © Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, hometrica.ch.
Authors retain all rights to individual papers, which are licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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