Efficient 3D Voxel Reconstruction using Precomputing method for Gesture Recognition(Gestures)

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概要

• 論文の詳細を見る

• We present an efficient and fast processing method for 3D voxel reconstruction by improving the precomputing method using one PC. Our proposed precomputing method used to enhance the Shape from Silhouette (SFS), which only needs to precompute one layer instead of all layers for 3D voxel reconstruction. And also, this method requires less memory storage due to only one layer precomputing, therefore makes it suitable for gesture recognition application in real-time. This paper also describes the comparison results of our proposed method and other methods in terms of processing time and memory usages.

• 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

• Baek Woonhyuk

  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

• Baek Woonhyuk

  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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