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Related Experiment Video

Updated: Jun 3, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Human motion retrieval from hand-drawn sketch.

Min-Wen Chao1, Chao-Hung Lin, Jackie Assa

  • 1Department of Computer Science & Information Engineering, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan. vivianqchao@gmail.com

IEEE Transactions on Visualization and Computer Graphics
|March 9, 2011
PubMed
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This study introduces a novel sketching interface for motion retrieval, simplifying query input. The new hierarchical encoding method efficiently retrieves motions, outperforming previous techniques.

Area of Science:

  • Computer Graphics
  • Human-Computer Interaction
  • Animation

Background:

  • The increasing volume of motion capture data necessitates efficient motion retrieval methods.
  • Current motion retrieval often requires laborious manual selection of query motions from large databases.

Purpose of the Study:

  • To develop a user-friendly and efficient motion retrieval system.
  • To introduce a novel sketching interface for defining motion queries.
  • To propose a specialized encoding scheme for real-time motion retrieval.

Main Methods:

  • A novel sketching interface allowing users to define motion queries by drawing.
  • A hierarchical encoding scheme utilizing orthonormal spherical harmonic (SH) basis functions.
  • Development of a compact motion representation avoiding computationally intensive temporal alignment.

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Related Experiment Videos

Last Updated: Jun 3, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

Main Results:

  • The proposed approach successfully retrieves motions, identifying logically and numerically similar ones.
  • Experimental results demonstrate superiority over previous motion retrieval methods.
  • A user study indicated the system's utility for motion query input with user familiarity.

Conclusions:

  • The novel sketching interface and SH-based encoding offer an efficient and expressive method for motion retrieval.
  • The system demonstrates potential for applications like generating 3D animation from sketches.
  • Further user familiarization can enhance the system's effectiveness as a motion query tool.