Face detection with Active Shape Models (ASMs)

Use active shape models from Cootes et al. to locate faces (or other objects) in images.

https://github.com/johnwmillr/ActiveShapeModels

バージョン 2.0.1.1 (14.6 MB)
ダウンロード: 1.6K 件
(4)
2024/5/13

現在この提出コンテンツをフォロー中です。

Run the Example_FindFace.m script for a walk-through of how to use the code. The repository contains a shape model and a gray-level model trained on images from the data set listed below, as well as a single example face. The repository includes code for manually labeling new images and training new shape and gray-level models, meaning it can be used for more than face detection if trained properly. I'd be happy for any feedback you may have. Enjoy!
Version 2.0 supports the MUCT landmark arrangement:
http://www.milbo.org/muct/

The simple landmark arrangement with I labeled is still supported. The faces I used for manual labeling are available here:
http://robotics.csie.ncku.edu.tw/Databases/FaceDetect_PoseEstimate.htm#Our_Database_

If you have a question or suggestion for the project, please open an Issue on GitHub. I will be much more likely to see your question there.
https://github.com/johnwmillr/ActiveShapeModels/issues

引用

John W. Miller (2026). Face detection with Active Shape Models (ASMs) (https://github.com/johnwmillr/ActiveShapeModels), GitHub. に取得済み.

謝辞

ヒントを得たファイル: Active Shape Model (ASM) and Active Appearance Model (AAM)

一般的な情報

MATLAB リリースの互換性

  • すべてのリリースと互換性あり

プラットフォームの互換性

  • Windows
  • macOS
  • Linux
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GitHub の既定のブランチを使用するバージョンはダウンロードできません

バージョン 公開済み リリース ノート
2.0.1.1

Added a note about opening Issues on GitHub.
2.0.1.0

Updated description. MUCT landmarks now supported.
2.0.0.0

Version 2.0 supports the MUCT landmark arrangement.
1.0.0.0

Changed title to "Face detection with Active Shape Models (ASMs)."

この GitHub アドオンでの問題を表示または報告するには、GitHub リポジトリにアクセスしてください。
この GitHub アドオンでの問題を表示または報告するには、GitHub リポジトリにアクセスしてください。