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Personalized Body Modeling

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Context Aware Human-Robot and Human-Agent Interaction

Part of the book series: Human–Computer Interaction Series ((HCIS))

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Abstract

In this chapter, we are concerned with the problem of modeling personalized body models from one or more 2D photos. One of the key tasks in this setting is the 3D shape recovery from the image, a yet-to-be-done task in computer vision which has traditionally been done using just geometric techniques. With our target objects limited to the human body, we try and make the problem easier and the solution more robust and efficient, by making use of high-quality shape data that has previously been acquired from 3D scanners. Based on a compact shape space, which has been built from a collection of range scans of real human body, we formulate the problem as an optimization one and search for the shape parameters that best matches the input silhouette. Texture coordinates are then generated by projecting the resulting shape onto the front and back images. In the presence of noise or missing views, our technique has a bias toward representing, as much as possible, the previously acquired collective knowledge on the body shape. As a result, efficiency is gained due to the fact that a model is generated by interpolating quality shapes from the body scans.

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Author information

Authors and Affiliations

  1. CNRS-University of Strasbourg, Strasbourg, France

    Hyewon Seo

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  1. Hyewon Seo
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Correspondence to Hyewon Seo .

Editor information

Editors and Affiliations

  1. Institute for Media Innovation, Nanyang Technology University, Singapore, Singapore

    Nadia Magnenat-Thalmann

  2. Institute for Media Innovation, Nanyang Technological University, Singapore, Singapore

    Junsong Yuan

  3. Institute for Media Innovation, Nanyang Technological University, Singapore, Singapore

    Daniel Thalmann

  4. Center of HCI for Coexistence, Korea Inst. of Science &Technology, Seoul, Korea, Republic of (South Korea)

    Bum-Jae You

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© 2016 Springer International Publishing Switzerland

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Seo, H. (2016). Personalized Body Modeling. In: Magnenat-Thalmann, N., Yuan, J., Thalmann, D., You, BJ. (eds) Context Aware Human-Robot and Human-Agent Interaction. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-19947-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-19947-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19946-7

  • Online ISBN: 978-3-319-19947-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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