書誌事項
- タイトル別名
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- Visual Information Sensing Technology. Multiple-Camera Based Hand Pose Estimation Method using Distance Transformation.
- キョリ ヘンカン ショリ オ モチイタ タ シテン ガゾウ ニヨル シュシセイ
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抄録
We describe a method for detecting hand position, posture, and finger bendings using multiple camera images. Stable detection can be achieved using distance transformed images. We detect the maximum point in each distance transformed image as the center of gravity (COG) point of the hand region and calculate its 3D position by stereo matching. The distance value of a COG point varies according to the angle between the camera axis and normal axis of the hand plane. Hand rotation angle can be determined in maximum likelihood estimation from the distance values in all camera images. Using the detected position and posture, the best camera for hand shape detection can be selected. This camera selection makes the hand shape detection simple and stable. This system can be used as a user interface device in a virtual environment, replacing glove-type devices and overcoming most of the disadvantages of contact-type devices.
収録刊行物
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- 映像情報メディア学会誌
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映像情報メディア学会誌 51 (12), 2116-2125, 1997
一般社団法人 映像情報メディア学会
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詳細情報 詳細情報について
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- CRID
- 1390001205099343232
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- NII論文ID
- 110003686155
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- NII書誌ID
- AN10588970
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- ISSN
- 18816908
- 13426907
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- NDL書誌ID
- 4365890
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可