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infoTexture: Incremental Interfaces on Mesh Prototyping

Published:06 May 2017Publication History

ABSTRACT

In recent years, the rapid prototyping of 3D objects has been a popular research, which mainly focusing on the fabrication process of prototypical structures and shapes. However, relatively little research has examined the surface texture of 3D models. To meet the increasing requirements of HCI researchers who are prototyping 3D forms with information on the surfaces to build multivariate interfaces, we present infoTexture, a novel rapid prototyping system that produces 3D objects both in a mesh structure and covered by a surface texture simultaneously. Based on mesh structure of 3D models, infoTexture supports a highly customizable software platform, which is applicable for seamlessly splitting freeform surface into planar pieces with a regular grid and serves as a guide for easy assembly. The key idea is to establish user interfaces on the surfaces of 3D model, which can be achieved by the programming shape of texture, the mapping pattern of texture and the interactive way with the texture.

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  1. infoTexture: Incremental Interfaces on Mesh Prototyping

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    • Published in

      cover image ACM Conferences
      CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
      May 2017
      3954 pages
      ISBN:9781450346566
      DOI:10.1145/3027063

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 May 2017

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      Acceptance Rates

      CHI EA '17 Paper Acceptance Rate1,000of5,000submissions,20%Overall Acceptance Rate6,164of23,696submissions,26%

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      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
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