日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

登録内容を編集ファイル形式で保存
 
 
ダウンロード電子メール
 詳細要約
  Role of featural and configural information in familiar and unfamiliar face recognition

Schwaninger, A., Lobmaier, J., & Collishaw, S. (2002). Role of featural and configural information in familiar and unfamiliar face recognition. Proceedings of the Second International Workshop on Biologically Motivated Computer Vision (BMCV 2002), 243-250.

Item is

 

表示: 全項目 非表示: 全項目

基本情報

表示: 非表示:
アイテムのパーマリンク: https://hdl.handle.net/11858/00-001M-0000-0013-DE5A-E 版のパーマリンク: https://hdl.handle.net/11858/00-001M-0000-0013-DE5B-C
資料種別: 会議論文

ファイル

表示: ファイル

関連URL

表示:

作成者

表示:
非表示:
 作成者:
Schwaninger, A1, 著者           
Lobmaier, JS, 著者
Collishaw, SM, 著者
Bülthoff, 編集者
H.H., 編集者
Lee, S.W., 編集者
Poggio, T.A., 編集者
Wallraven, C., 編集者
所属:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

内容説明

表示:
非表示:
キーワード: -
 要旨: Using psychophysics we investigated to what extent human face recognition relies on local information in parts (featural information) and on their spatial relations (configural information). This is particularly relevant for biologically motivated computer vision since recent approaches have started considering such featural information. In Experiment 1 we showed that previously learnt faces could be recognized by human subjects when they were scrambled into constituent parts. This result clearly indicates a role of featural information. Then we determined the blur level that made the scrambled part versions impossible to recognize. This blur level was applied to whole faces in order to create configural versions that by definition do not contain featural information. We showed that configural versions of previously learnt faces could be recognized reliably. In Experiment 2 we replicated these results for familiar face recognition. Both Experiments provide evidence in favor of the view that recognition of familiar and unfamiliar faces relies on featural and configural information. Furthermore, the balance between the two does not differ for familiar and unfamiliar faces. We propose an integrative model of familiar and unfamiliar face recognition and discuss implications for biologically motivated computer vision algorithms for face recognition.

資料詳細

表示:
非表示:
言語:
 日付: 2002-11
 出版の状態: 出版
 ページ: -
 出版情報: -
 目次: -
 査読: -
 識別子（DOI, ISBNなど）: ISBN: 3-540-00174-3
URI: http://www.springerlink.com/content/tmcvk4x8nyx7xv3f/fulltext.pdf
DOI: 10.1007/3-540-36181-2_64
BibTex参照ID: 2029
 学位: -

関連イベント

表示:
非表示:
イベント名: Second International Workshop on Biologically Motivated Computer Vision (BMCV 2002)
開催地: Tübingen, Germany
開始日・終了日: -

訴訟

表示:

Project information

表示:

出版物 1

表示:
非表示:
出版物名: Proceedings of the Second International Workshop on Biologically Motivated Computer Vision (BMCV 2002)
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: Berlin, Germany : Springer
ページ: - 巻号: - 通巻号: - 開始・終了ページ: 243 - 250 識別子（ISBN, ISSN, DOIなど）: -