Contact Edit: Artist Tools for Intuitive Modeling of Hand-Object Interactions

Author:

Lakshmipathy Arjun Sriram1ORCID,Feng Nicole1ORCID,Lee Yu Xi1ORCID,Mahler Moshe1ORCID,Pollard Nancy1ORCID

Affiliation:

1. Carnegie Mellon University, Pittsburgh, United States of America

Abstract

Posing high-contact interactions is challenging and time-consuming, with hand-object interactions being especially difficult due to the large number of degrees of freedom (DOF) of the hand and the fact that humans are experts at judging hand poses. This paper addresses this challenge by elevating contact areas to first-class primitives. We provide end-to-end art-directable (EAD) tools to model interactions based on contact areas, directly manipulate contact areas, and compute corresponding poses automatically. To make these operations intuitive and fast, we present a novel axis-based contact model that supports real-time approximately isometry-preserving operations on triangulated surfaces, permits movement between surfaces, and is both robust and scalable to large areas. We show that use of our contact model facilitates high quality posing even for unconstrained, high-DOF custom rigs intended for traditional keyframe-based animation pipelines. We additionally evaluate our approach with comparisons to prior art, ablation studies, user studies, qualitative assessments, and extensions to full-body interaction.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Reference43 articles.

1. Cut-and-paste editing of multiresolution surfaces

2. S. Brahmbhatt , C. Ham , C. C. Kemp , and J. Hays . 2019a. ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging . In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://contactdb.cc.gatech.edu S. Brahmbhatt, C. Ham, C. C. Kemp, and J. Hays. 2019a. ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://contactdb.cc.gatech.edu

3. S. Brahmbhatt , A. Handa , J. Hays , and D. Fox . 2019b. ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact . In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). S. Brahmbhatt, A. Handa, J. Hays, and D. Fox. 2019b. ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

4. S. Brahmbhatt , C. Tang , C. D. Twigg , C. C. Kemp , and J. Hays . 2020 . ContactPose: A Dataset of Grasps with Object Contact and Hand Pose. In The European Conference on Computer Vision (ECCV). https://contactpose.cc.gatech.edu S. Brahmbhatt, C. Tang, C. D. Twigg, C. C. Kemp, and J. Hays. 2020. ContactPose: A Dataset of Grasps with Object Contact and Hand Pose. In The European Conference on Computer Vision (ECCV). https://contactpose.cc.gatech.edu

5. Contact Mode Guided Sampling-Based Planning for Quasistatic Dexterous Manipulation in 2D

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