Fast Dimension Reduction of 3D Voxel for Hand Gesture Recognition(Biometrics2)

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概要

• 論文の詳細を見る

• The basis of our method is a fast dimension reduction of 3D voxel process to obtain a meaningful hand gesture posture in 2D. A fast precomputing and meshless parameterization method are used for 3D voxel dimensional reduction. This method makes it possible to perform efficient and real-time hand gesture recognition. A look-up table is generated during precomputing process which reduces the processing time and memory space for 3D voxel reconstruction. Then, the meshless parameterization of one to one mapping is applied for dimension reduction, and it preserved the 3D features without loss of any generality.

• 社団法人電子情報通信学会の論文
• 2006-11-17

著者

• Jung Keechul

  Hci Lab School Of Media College Of Information Technology Soongsil University

• Yang Jongyeol

  Hci Lab School Of Media College Of Information Technology Soongsil University

• Lee Yunli

  HCI Lab, School of Media, College of Information Technology, Soongsil University

• Kyoung Dongwuk

  HCI Lab, School of Media, College of Information Technology, Soongsil University

• Han Eunjung

  HCI Lab, School of Media, College of Information Technology, Soongsil University

• Lee Yunli

  Hci Lab School Of Media College Of Information Technology Soongsil University

• Han Eunjung

  Hci Lab School Of Media College Of Information Technology Soongsil University

• Kyoung Dongwuk

  Hci Lab School Of Media College Of Information Technology Soongsil University

関連論文

• Fast Dimension Reduction of 3D Voxel for Hand Gesture Recognition(Biometrics2)
• Efficient 3D Voxel Reconstruction using Precomputing method for Gesture Recognition(Gestures)
• Topological Property-based Clustering of Self-Organizing Feature Maps(Pattem Recognition)

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