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Robust Hand Pose Estimation during the Interaction with an Unknown Object

Robust Hand Pose Estimation during the Interaction with an Unknown Object

by Convergence Design Lab Admin | Oct 17, 2017 | 2017, Chiho Choi, Chin-Ning Chen, Karthik Ramani, Mid-air Interaction, Publications, Sang Ho Yoon

Abstract: This paper proposes a robust solution for accurate 3D hand pose estimation in the presence of an external object interacting with hands. Our main insight is that the shape of an object causes a configuration of the hand in the form of a hand grasp. Along...
Learning Hand Articulations by Hallucinating Heat Distribution

Learning Hand Articulations by Hallucinating Heat Distribution

by Sangpil Kim | Aug 7, 2017 | 2017, Chiho Choi, Karthik Ramani, Recent Publications, Sangpil Kim, Shape Understanding

We propose a robust hand pose estimation method by learning hand articulations from depth features and auxiliary modality features. As an additional modality to depth data, we present a function of geometric properties on the surface of the hand described by heat...
New tool for virtual and augmented reality uses ‘deep learning’

New tool for virtual and augmented reality uses ‘deep learning’

by Chiho Choi | Jun 22, 2016 | Ayan Sinha, Chiho Choi, Karthik Ramani, News

WEST LAFAYETTE, Ind. – Future systems that allow people to interact with virtual environments will require computers to interpret the human hand’s nearly endless variety and complexity of changing motions and joint angles. In virtual and augmented reality, the...
DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

by Chiho Choi | Jun 21, 2016 | 2016, Ayan Sinha, Chiho Choi, Karthik Ramani, Recent Publications, Shape Understanding

We propose DeepHand to estimate the 3D pose of a hand using depth data from commercial 3D sensors. We discriminatively train convolutional neural networks to output a low dimensional activation feature given a depth map. This activation feature vector is...
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation

A Collaborative Filtering Approach to Real-Time Hand Pose Estimation

by Chiho Choi | Aug 31, 2015 | 2015, Ayan Sinha, Chiho Choi, Karthik Ramani, Recent Publications, Shape Understanding, Sujin Jang

Collaborative filtering aims to predict unknown user ratings in a recommender system by collectively assessing known user preferences. In this paper, we first draw analogies between collaborative filtering and the pose estimation problem. Specifically, we recast the...

Categories

  • DESIGN METHOD
    • Design Learn
    • Design Collaboration
    • Design Representation
  • TANGIBLE, EMBEDDED & EMBODIED INTERFACES
    • Embedded Input
    • Tangibles
    • Fabrication
  • HUMAN SHAPE INTERACTION
    • Multi-touch Interaction
    • Mid-air Interaction
    • Spatial Analytics
    • Shape Understanding

Recent Publications

  • Ubi Edge: Authoring Edge-Based Opportunistic Tangible User Interfaces in Augmented Reality
  • InstruMentAR: Auto-Generation of Augmented Reality Tutorials for Operating Digital Instruments Through Recording Embodied
  • LearnIoTVR: An End-to-End Virtual Reality Environment Providing Authentic Learning Experiences for Internet of Things

Recent Publications

  • Ubi Edge: Authoring Edge-Based Opportunistic Tangible User Interfaces in Augmented Reality
  • InstruMentAR: Auto-Generation of Augmented Reality Tutorials for Operating Digital Instruments Through Recording Embodied
  • LearnIoTVR: An End-to-End Virtual Reality Environment Providing Authentic Learning Experiences for Internet of Things

Lab News

  • Convergence Master’s Thesis Graduate and Veo Co-founder Edwin Tan officially launches the Veo fleet at Purdue University
  • Dr. Jitendra Malik discusses whether Computer Vision and Robotics are amenable to ChatGPTification in a panel moderated by Dr. Karthik Ramani
  • Purdue Table Tennis Club ping-pongs closer to a national title!

Featured Publications

  • Ubi Edge: Authoring Edge-Based Opportunistic Tangible User Interfaces in Augmented Reality
  • InstruMentAR: Auto-Generation of Augmented Reality Tutorials for Operating Digital Instruments Through Recording Embodied
  • MechARspace: An Authoring System Enabling Bidirectional Binding of Augmented Reality with Toys in Real-time
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