2P1-G03 Hand feature extraction based on distance transformation and Hough transformation

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概要

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• In hand gesture recognition, after segmenting hand from image, it should be extracted some features, such as hand center, finger and fingertip positions. This paper introduces a robust method based on distance transformation and Hough transformation to extract hand features exactly and fast. Firstly, a number of feature points will be determined from the distance transformation image, and then Hough transformation will be calculated on them to detect hand center, fingertips and finger direction. Because the number of feature points is just sufficient and not so much, the processing time will be reduced.

• 一般社団法人日本機械学会の論文
• 2009-05-25

著者

• Dung Le

  Shibaura Institute Of Technology

• MIZUKAWA Makoto

  Shibaura Institute of Technology

関連論文

• 2P1-G04 Adaptive K-Nearest Neighbor for Pose-Invariant Object Recognition
• 2P1-G03 Hand feature extraction based on distance transformation and Hough transformation
• The Position-Adjusting System for an Autonomous Mobile Robot using Cylinders as Landmarks in the Environment of "Micro-Clipper Robot Contest"(Vision and Recognition 2,Session: MP1-D)

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