Results 151 to 160 of about 429,065 (209)
Face Detection Ensemble with Methods Using Depth Information to Filter False Positives. [PDF]
Sensors (Basel), 2019 Nanni L, Brahnam S, Lumini A.
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Intelligent Lecturer Tracking and Capturing System Based on Face Detection and Wireless Sensing Technology. [PDF]
Sensors (Basel), 2019 Tan TH, Kuo TY, Liu H.
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A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. [PDF]
Front Neurorobot, 2019 Zhang C, Hu X, Xie Y, Gong M, Yu B.
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Adapting Local Features for Face Detection in Thermal Image. [PDF]
Sensors (Basel), 2017 Ma C +5 more
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Computer Vision and Image Understanding, 2001
Summary: We present a comprehensive and critical survey of face detection algorithms. Face detection is a necessary first-step in face recognition systems, with the purpose of localizing and extracting the face region from the background. It also has several applications in areas such as content-based image retrieval, video coding, video conferencing ...
Erik Hjelmås, Boon Kee Low
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Summary: We present a comprehensive and critical survey of face detection algorithms. Face detection is a necessary first-step in face recognition systems, with the purpose of localizing and extracting the face region from the background. It also has several applications in areas such as content-based image retrieval, video coding, video conferencing ...
Erik Hjelmås, Boon Kee Low
exaly +3 more sources
Face detection in color images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002Human face detection plays an important role in applications such as video surveillance, human computer interface, face recognition, and face image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds.
Mohamed Abdel-Mottaleb
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Detecting Faces With Face Masks
2021 44th International Conference on Telecommunications and Signal Processing (TSP), 2021This paper deals with the evaluation of several methods for face detection when the face is covered by a mask. The methods evaluated are Haar cascade and Histogram of Oriented Gradients as feature-based approaches, Multitask Cascade Convolutional Neural Network, Max Margin Object Detection and TinyFace as convolutional neural network based approaches ...
Jiri Prinosil, Ondrej Maly
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