<図書>
Dynamic neural field theory for motion perception
責任表示 | by Martin A. Giese |
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シリーズ | The Kluwer international series in engineering and computer science ; SECS 469 |
データ種別 | 図書 |
出版情報 | Boston : Kluwer Academic Publishers , c1999 |
本文言語 | 英語 |
大きさ | xix, 257 p. : ill. ; 25 cm |
概要 | Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception. This framework uses dynamic n...ural fields as a key mathematical concept. The author demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Also, similar principles form a basis for the design of computer vision systems as well as the design of artificially behaving systems. The book discusses in detail the application of this theoretical approach to motion perception and will be of great interest to researchers in vision science, psychophysics, and biological visual systems. 続きを見る |
所蔵情報
状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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芸工図 2F 工学図書室 | 548.13/G42 | 1999 |
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072032199001288 |
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書誌詳細
一般注記 | Includes bibliographical references (p. [237]-250) and index |
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著者標目 | *Giese, Martin A. |
件 名 | LCSH:Neural networks (Computer science) LCSH:Motion perception (Vision) |
分 類 | LCC:QA76.87 DC21:006.3/2 |
書誌ID | 1000987437 |
ISBN | 0792383001 |
NCID | BA38840970 |
巻冊次 | ISBN:0792383001 |
登録日 | 2009.09.16 |
更新日 | 2009.09.16 |