├── LICENSE ├── README.md ├── data └── REAMDE.md └── src ├── opencv_core249.dll ├── opencv_ffmpeg249_64.dll ├── opencv_highgui249.dll ├── opencv_imgproc249.dll ├── opencv_video249.dll └── test.exe /LICENSE: -------------------------------------------------------------------------------- 1 | GNU LESSER GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | 9 | This version of the GNU Lesser General Public License incorporates 10 | the terms and conditions of version 3 of the GNU General Public 11 | License, supplemented by the additional permissions listed below. 12 | 13 | 0. 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If the Library as you 157 | received it does not specify a version number of the GNU Lesser 158 | General Public License, you may choose any version of the GNU Lesser 159 | General Public License ever published by the Free Software Foundation. 160 | 161 | If the Library as you received it specifies that a proxy can decide 162 | whether future versions of the GNU Lesser General Public License shall 163 | apply, that proxy's public statement of acceptance of any version is 164 | permanent authorization for you to choose that version for the 165 | Library. 166 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Face Detector for IR Images 2 | Created by: Jongmin Yoon, Daijin Kim from POSTECH, South Korea 3 | 4 | # Abstract 5 | 6 | We propose a novel multi-view face detector that operates accurately and fast in challenging environments. It consists of four consecutive functional components: background rejector, pose classifier, pose-specific face detectors, and face validator. The background rejector removes non-face patches quickly, the pose classifier estimates poses of the surviving patches, one or more selected pose-specific face detectors according to their estimated pose labels determine that a given patch is a face by using winner take all (WTA) strategy, and the face validator checks whether the face-like patch is really a face. For achieving strong discrimination power with low computing overhead, we devise several types of order relation features (ORF) that encode the order relation among feature elements as a unique code. The devised ORFs are placed in functional components appropriately to ensure fast operation of the multi-view face detector. For accurate classification, we propose a doubly domain-partitioning (DDP) classifier that consists of a coarse domain-partitioning weak classifier followed by a fine bin-partitioning weighted linear discriminant analysis (wLDA) classifier. For fast classification, we devise a feature sharing method that shares identical features between the background rejector and the pose classifier, and among all classes in the pose classifier. We evaluated the proposed multi-view face detector using the FDDB, AFW, and PASCAL face datasets. The experimental results show that the proposed multi-view face detector outperforms other stateof- the-art methods in terms of detection accuracy and execution time. 7 | 8 | # Testing 9 | Testing with webcam: 10 | test.exe webcam 11 | 12 | Testing with videos: 13 | test.exe 14 | 15 | testing with images: 16 | test.exe images 17 | 18 | # Related Papers 19 | Yoon, Jongmin, and Daijin Kim. "An accurate and real-time multi-view face detector using ORFs and doubly domain-partitioning classifier." Journal of Real-Time Image Processing: 1-16. 20 | -------------------------------------------------------------------------------- /data/REAMDE.md: -------------------------------------------------------------------------------- 1 | Get fd_v3.dat file from following link and place it in this directory. 2 | 3 | https://postechackr-my.sharepoint.com/:u:/g/personal/taewook101_postech_ac_kr/Eam93fLrsg5GrjePs6GZGZsBV7JtadMuXwy36zse9t_8EQ?e=9TyKB9 4 | -------------------------------------------------------------------------------- /src/opencv_core249.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/POSTECH-IMLAB/IR_FaceDetector/bfc2b26869cd2008d7864288ced500c0ac96cf46/src/opencv_core249.dll -------------------------------------------------------------------------------- /src/opencv_ffmpeg249_64.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/POSTECH-IMLAB/IR_FaceDetector/bfc2b26869cd2008d7864288ced500c0ac96cf46/src/opencv_ffmpeg249_64.dll -------------------------------------------------------------------------------- /src/opencv_highgui249.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/POSTECH-IMLAB/IR_FaceDetector/bfc2b26869cd2008d7864288ced500c0ac96cf46/src/opencv_highgui249.dll -------------------------------------------------------------------------------- /src/opencv_imgproc249.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/POSTECH-IMLAB/IR_FaceDetector/bfc2b26869cd2008d7864288ced500c0ac96cf46/src/opencv_imgproc249.dll -------------------------------------------------------------------------------- /src/opencv_video249.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/POSTECH-IMLAB/IR_FaceDetector/bfc2b26869cd2008d7864288ced500c0ac96cf46/src/opencv_video249.dll -------------------------------------------------------------------------------- /src/test.exe: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/POSTECH-IMLAB/IR_FaceDetector/bfc2b26869cd2008d7864288ced500c0ac96cf46/src/test.exe --------------------------------------------------------------------------------