Parametric: Empowering In-Situ Parametric Modeling in Augment Reality for Personal Fabrication

Abstract Parametric modeling software is a powerful design tool for controlling dimensions, accessing high-quality model libraries, and iterating on design concepts. However, its steep learning curve, complex user interfaces, and lack of spatial understanding can hinder novice users from creating reusable and precise solid models. To overcome these barriers, we introduce pARametric, an augmented reality (AR) system that provides an effortless parametric modeling experience in situ. This system features an immersive sketching platform for freehand sketching, a transformer-based parametric sketch construction algorithm, and an AR interface that offers intuitive hand-to-virtual geometry interaction for 3D modeling operations. In pARametric, a novice designer without experience in 3D modeling can create parametric models for personal fabrication. Our system uses environmental information as design references to make decisions about structure, dimension, and shape. The system allows users to express their design intents by sketching in freehand rather than mastering the sophisticated operations of existing modeling software. We also incorporate widely used 3D modeling features such as extrusion, revolution, sweep, and mirror to create a wide variety of models. In a user study with 8 participants, we discovered that novice designers see great potential in pARametric to enhance their capabilities and willingness to engage in parametric modeling for design. We further discuss how our system can be integrated into traditional parametric modeling workflows to benefit a wider range of designers for visualization and collaboration on sophisticated design tasks.

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Publication Details

Published
2024-08-25
DOI
https://doi.org/10.1115/detc2024-146420
Primary Topic
Augmented Reality Applications
Type
article
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article

Parametric: Empowering In-Situ Parametric Modeling in Augment Reality for Personal Fabrication

Karthik Ramani, Min Liu, Runlin Duan, Jingyu Shi et al.
Augmented Reality Applications
article

Parametric: Empowering In-Situ Parametric Modeling in Augment Reality for Personal Fabrication

Karthik Ramani, Min Liu, Runlin Duan, Jingyu Shi, Xiyun Hu
article en

Abstract

Abstract Parametric modeling software is a powerful design tool for controlling dimensions, accessing high-quality model libraries, and iterating on design concepts. However, its steep learning curve, complex user interfaces, and lack of spatial understanding can hinder novice users from creating reusable and precise solid models. To overcome these barriers, we introduce pARametric, an augmented reality (AR) system that provides an effortless parametric modeling experience in situ. This system features an immersive sketching platform for freehand sketching, a transformer-based parametric sketch construction algorithm, and an AR interface that offers intuitive hand-to-virtual geometry interaction for 3D modeling operations. In pARametric, a novice designer without experience in 3D modeling can create parametric models for personal fabrication. Our system uses environmental information as design references to make decisions about structure, dimension, and shape. The system allows users to express their design intents by sketching in freehand rather than mastering the sophisticated operations of existing modeling software. We also incorporate widely used 3D modeling features such as extrusion, revolution, sweep, and mirror to create a wide variety of models. In a user study with 8 participants, we discovered that novice designers see great potential in pARametric to enhance their capabilities and willingness to engage in parametric modeling for design. We further discuss how our system can be integrated into traditional parametric modeling workflows to benefit a wider range of designers for visualization and collaboration on sophisticated design tasks.

Purdue University West Lafayette (US)
Openalex Percentile: Top 80%
Augmented Reality Applications
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Parametric: Empowering In-Situ Parametric Modeling in Augment Reality for Personal Fabrication — Karthik Ramani, Min Liu, et al. · (2024) | TGRS Research Map | TGRS