4.7 Article

A gesture-free geometric approach for mid-air expression of design intent in 3D virtual pottery

期刊

COMPUTER-AIDED DESIGN
卷 69, 期 -, 页码 11-24

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.cad.2015.06.006

关键词

Hand-based shape modeling; Mid-air interactions; Virtual pottery; Gestures; Natural user interfaces; Mesh deformation

资金

  1. National Science Foundation-AIR [1312167]
  2. National Science Foundation from CMMI-EDI [1235232]
  3. National Science Foundation from CPS:Synergy [1329979]
  4. Donald W. Feddersen Chair Professorship at the School of Mechanical Engineering
  5. Directorate For Engineering
  6. Div Of Industrial Innovation & Partnersh [1312167] Funding Source: National Science Foundation
  7. Div Of Civil, Mechanical, & Manufact Inn
  8. Directorate For Engineering [1235232] Funding Source: National Science Foundation

向作者/读者索取更多资源

The advent of depth cameras has enabled mid-air interactions for shape modeling with bare hands. Typically, these interactions employ a finite set of pre-defined hand gestures to allow users to specify modeling operations in virtual space. However, human interactions in real world shaping processes (such as pottery or sculpting) are complex, iterative, and continuous. In this paper, we show that the expression of user intent in shaping processes can be derived from the geometry of contact between the hand and the manipulated object. Specifically, we describe the design and evaluation of a geometric interaction technique for bare-hand mid-air virtual pottery. We model the shaping of a pot as a gradual and progressive convergence of the pot's profile to the shape of the user's hand represented as a point-cloud (PCL). Thus, a user does not need to learn, know, or remember any gestures to interact with our system. Our choice of pottery simplifies the geometric representation, allowing us to systematically study how users use their hands and fingers to express the intent of deformation during a shaping process. Our evaluations demonstrate that it is possible to enable users to express their intent for shape deformation without the need for a fixed set of gestures for clutching and deforming a shape. (C) 2015 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Computer Science, Software Engineering

Delaunay Lofts: A biologically inspired approach for modeling space filling modular structures

Sai Ganesh Subramanian, Mathew Eng, Vinayak R. Krishnamurthy, Ergun Akleman

COMPUTERS & GRAPHICS-UK (2019)

Article Engineering, Mechanical

Investigating a Mixed-Initiative Workflow for Digital Mind-Mapping

Ting-Ju Chen, Vinayak R. Krishnamurthy

JOURNAL OF MECHANICAL DESIGN (2020)

Article Computer Science, Software Engineering

Generalized abeille tiles: Topologically interlocked space-filling shapes generated based on fabric symmetries

Ergun Akleman, Vinayak R. Krishnamurthy, Chia-An Fu, Sai Ganesh Subramanian, Matthew Ebert, Matthew Eng, Courtney Starrett, Haard Panchal

COMPUTERS & GRAPHICS-UK (2020)

Article Engineering, Mechanical

Generalizability of Convolutional Encoder-Decoder Networks for Aerodynamic Flow-Field Prediction Across Geometric and Physical-Fluidic Variations

Kaustubh Tangsali, Vinayak R. Krishnamurthy, Zohaib Hasnain

Summary: The generalizability of a convolutional encoder-decoder based model in predicting aerodynamic flow field across various flow regimes and geometric variation was assessed. The study found that the generalization ability was affected by flow features, geometric variation, dataset size, and parameter categorization. It was also shown that user-informed choice of training data could reduce computational costs incurred in generating training data.

JOURNAL OF MECHANICAL DESIGN (2021)

Review Dentistry, Oral Surgery & Medicine

3D printing parameters, supporting structures, slicing, and post-processing procedures of vat-polymerization additive manufacturing technologies: A narrative review

Wenceslao Piedra-Cascon, Vinayak R. Krishnamurthy, Wael Att, Marta Revilla-Leon

Summary: The study reviewed the elements of vat-polymerization workflow, including 3D printing parameters, support structures, slicing, and post-processing procedures, and how they affect the characteristics of manufactured dental devices. Continuous improvement is needed in selecting optimal printing and supporting parameters, slicing, and post-processing procedures for dental applications. Results demonstrate that the technology, printer, and material selection influence the accuracy and properties of AM dental devices.

JOURNAL OF DENTISTRY (2021)

Article Computer Science, Software Engineering

Latent Embedded Graphs for Image and Shape Interpolation

Shantanu Vyas, Ting-Ju Chen, Ronak R. Mohanty, Peng Jiang, Vinayak R. Krishnamurthy

Summary: In this paper, we introduce latent embedded graphs as a simple approach for shape and image interpolation using generative neural network models. The method captures the topological structure within the spatial distribution of the data in the latent space, allowing for approximate geodesic computations. Through systematic study and empirical demonstration on various datasets, the approach is proven to outperform linear interpolation in preserving geometric and topological variations.

COMPUTER-AIDED DESIGN (2021)

Review Materials Science, Multidisciplinary

Design of architectured materials based on topological and geometrical interlocking

Yuri Estrin, Vinayak R. Krishnamurthy, Ergun Akleman

Summary: This article introduces a design principle that segments a structure into a set of topologically or geometrically interlocked elements, discussing historical background, different types of interlocking structures, generation methods, and potential applications. The proposed structures offer beneficial features such as tolerance to local failures, enhanced bending compliance, high sound and energy absorption, ease of assembly and disassembly, and nearly full recyclability.

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2021)

Article Computer Science, Software Engineering

LayerLock: Layer-Wise Collision-Free Multi-Robot Additive Manufacturing Using Topologically Interlocked Space-Filling Shapes

Vinayak Krishnamurthy, Laxmi Poudel, Matthew Ebert, Daniel H. Weber, Rencheng Wu, Wenchao Zhou, Ergun Akleman, Zhenghui Sha

Summary: We propose LayerLock, an approach for synchronous multi-robot additive manufacturing. Our approach is based on Delaunay Lofts, which are generated by stacking layers of Voronoi partitions of moving Voronoi sites. The key insights of our approach include easy division of cells for collision-free simultaneous material deposition and the natural topological interlocking of Voronoi cells along the layers. We developed the LayerLock algorithm and evaluated it for various geometric parameters, demonstrating its practicality on a two-robot cooperative 3D printing platform.

COMPUTER-AIDED DESIGN (2022)

Article Engineering, Biomedical

A learning-based, region of interest-tracking algorithm for catheter detection in echocardiography

Taeouk Kim, Mohammadali Hedayat, Veronica V. Vaitkus, Marek Belohlavek, Vinayak Krishnamurthy, Iman Borazjani

Summary: This study successfully detected acoustically active catheters in echocardiography images using a convolutional neural network and color intensity difference detection technique. By combining tracking methods, an automatic, robust, and fast detection method for catheters in echo images was achieved.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2022)

Article Computer Science, Software Engineering

Geometrically Interlocking Space-Filling Tiling Based on Fabric Weaves

Vinayak R. Krishnamurthy, Ergun Akleman, Sai Ganesh Subramanian, Matthew Ebert, Jiaqi Cui, Chia-An Fu, Courtney Starrett

Summary: This article introduces a framework for the geometric design and fabrication of geometrically interlocking space-filling shapes called woven tiles. The framework is based on Voronoi partitioning of space and design of curve segments closed under symmetry operations. The mechanical behavior of the woven tiles is evaluated and compared through finite element analysis.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2022)

Letter Dentistry, Oral Surgery & Medicine

Response to the letter to the editor Comments on 'Artificial intelligence applications in restorative dentistry: A systematic review'

Marta Revilla-Leon, Miguel Gomez-Polo, Shantanu Vyas, Abdul B. Barmak, Mutlu ozcan, Wael Att, Vinayak R. Krishnamurthy

JOURNAL OF PROSTHETIC DENTISTRY (2022)

Proceedings Paper Computer Science, Interdisciplinary Applications

KINESTHETICALLY AUGMENTED MID-AIR SKETCHING OF MULTI-PLANAR 3D CURVE-SOUPS

Ronak R. Mohanty, Umema H. Bohari, Vinayak, Eric Ragan

PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 1B (2018)

Proceedings Paper Computer Science, Artificial Intelligence

To Draw or Not to Draw: Recognizing Stroke-Hover Intent in Non-instrumented Gesture-free Mid-Air Sketching

Umema Bohari, Ting-Ju Chen, Vinayak

IUI 2018: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (2018)

Proceedings Paper Computer Science, Cybernetics

Co-3Deator: A Team-First Collaborative 3D Design Ideation Tool

Cecil Piya, Vinayak, Senthil Chandrasegaran, Niklas Elmqvist, Karthik Ramani

PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17) (2017)

Proceedings Paper Computer Science, Cybernetics

Window-Shaping: 3D Design Ideation by Creating on, Borrowing from, and Looking at the Physical World

Ke Huo, Vinayak, Karthik Ramani

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON TANGIBLE, EMBEDDED, AND EMBODIED INTERACTION (TEI'17) (2017)

Review Computer Science, Software Engineering

Fabric mechanical parameters for 3D cloth simulation in apparel CAD: A systematic review

Xiaoqun Dai, Yan Hong

Summary: The primary objective of this research is to enhance the understanding of fabric mechanical behaviors, measurement techniques, and parameters essential for cloth simulation. The findings and information presented herein can be effectively utilized to enhance the precision and fidelity of apparel CAD systems, thereby facilitating advancements in virtual garment design and production.

COMPUTER-AIDED DESIGN (2024)

Article Computer Science, Software Engineering

A compact yet flexible design space for large-scale nonperiodic 3D woven composites based on a weighted game for generating candidate tow architectures

Zhen-Pei Wang, Brian N. Cox, Shemuel Joash Kuehsamy, Mark Hyunpong Jhon, Olivier Sudre, N. Sridhar, Gareth J. Conduit

Summary: Three-dimensional non-periodic woven composite preforms have great design flexibility, but the design space is too large. This paper proposes a Background Vector Method (BVM) for generating candidate designs that can adapt to local architecture and global design goals while ensuring fabricability. Examples are provided to illustrate the design scope and speed of the BVM, as well as pathways for incorporating it into optimization algorithms.

COMPUTER-AIDED DESIGN (2024)

Article Computer Science, Software Engineering

Taming Connectedness in Machine-Learning-Based Topology Optimization with Connectivity Graphs

Mohammad Mahdi Behzadi, Jiangce Chen, Horea T. Ilies

Summary: This paper proposes an approach to enhance the topological accuracy of machine learning-based topology optimization methods. The approach utilizes a predicted dual connectivity graph to improve the connectivity of the predicted designs. Experimental results show that the proposed method significantly improves the connectivity of the final predicted structures.

COMPUTER-AIDED DESIGN (2024)

Article Computer Science, Software Engineering

Texture-Driven Adaptive Mesh Refinement with Application to 3D Relief

Jiaze Li, Shengfa Wang, Eric Paquette

Summary: In this study, a texture-driven adaptive mesh refinement method is proposed to generate high-quality 3D reliefs. By conducting feature-preserving adaptive sampling of the texture contours and using constraint-driven and feature-adaptive mesh subdivision, the method is able to accurately follow the texture contours and maintain good polygon quality.

COMPUTER-AIDED DESIGN (2024)

Article Computer Science, Software Engineering

The Generation of 3D Surface Meshes for NURBS-Enhanced FEM

Xi Zou, Sui Bun Lo, Ruben Sevilla, Oubay Hassan, Kenneth Morgan

Summary: This work presents a new method for generating triangular surface meshes in three dimensions for the NURBS-enhanced finite element method. The method allows for triangular elements that span across multiple NURBS surfaces, while maintaining the exact representation of the CAD geometry. This eliminates the need for de-featuring complex watertight CAD models and ensures compliance with user-specified spacing function requirements.

COMPUTER-AIDED DESIGN (2024)

Article Computer Science, Software Engineering

Reconstruction and Preservation of Feature Curves in 3D Point Cloud Processing

Ulderico Fugacci, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti

Summary: This paper proposes a method for suitably resampling a 3D point cloud while preserving the feature curves to which some points belong. The method enriches the cloud by approximating curvilinear profiles and allows for point removal or insertion without affecting the approximated profiles. The effectiveness of the method is evaluated through experiments and comparisons.

COMPUTER-AIDED DESIGN (2024)

Article Computer Science, Software Engineering

A Shape Derivative Approach to Domain Simplification

J. Hinz, O. Chanon, A. Arrigoni, A. Buffa

Summary: The objective of this study is to address the difficulty of simplifying a geometric model while maintaining the accuracy of the solution. A goal-oriented adaptive strategy is proposed to reintroduce geometric features in regions with significant impact on the quantity of interest. This approach enables faster and more efficient simulations.

COMPUTER-AIDED DESIGN (2024)

Article Computer Science, Software Engineering

Gradient design and fabrication methodology for interleaved self-locking kirigami panels

Hao Qiu, Yixiong Feng, Yicong Gao, Zhaoxi Hong, Jianrong Tan

Summary: Sandwich panels with excellent mechanical properties are widely used, and kirigami-inspired structural designs are receiving increasing attention. In this study, novel graded self-locking kirigami panels based on a tucked-interleaved pattern are developed and analyzed. The experimental and simulation results demonstrate that the proposed kirigami panels have outstanding load-to-weight ratios and can generate graded stiffness and superior specific energy absorption.

COMPUTER-AIDED DESIGN (2024)

Article Computer Science, Software Engineering

Simultaneous Boundary and Interior Parameterization of Planar Domains Via Deep Learning

Zheng Zhan, Wenping Wang, Falai Chen

Summary: This article proposes a learning based method using a deep neural network to simultaneously parameterize the boundary and interior of a computational domain. The method achieves robust parameterization by optimizing a loss function and fitting a tensor-product B-spline function. Experimental results demonstrate that the proposed approach yields parameterization results with lower distortion and higher bijectivity ratio.

COMPUTER-AIDED DESIGN (2024)