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Computationally efficient face detection
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002This paper describes an algorithm for finding faces within an image. The basis of the algorithm is to run an observation window at all possible positions, scales and orientation within the image. A non-linear support vector machine is used to determine whether or not a face is contained within the observation window.
Romdhani, S +3 more
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Semi-Supervised Face Detection
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops, 2006This paper presents a discussion on semi-supervised learning of probabilistic mixture model classifiers for face detection. We present a theoretical analysis of semi-supervised learning and show that there is an overlooked fundamental difference between the purely supervised and the semisupervised learning paradigms.
Sebe, Niculae +3 more
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IEEE Pulse, 2020
Your phone scans your face to unlock its screen. A social media app offers suggestions of friends to tag in photos. Airline check-in systems verify who you are as you stare into a camera. These are just a few examples of how facial recognition technology (FRT) is now ubiquitous in everyday lives.
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Your phone scans your face to unlock its screen. A social media app offers suggestions of friends to tag in photos. Airline check-in systems verify who you are as you stare into a camera. These are just a few examples of how facial recognition technology (FRT) is now ubiquitous in everyday lives.
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Unconstrained Face Alignment Without Face Detection
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017This paper introduces our submission to the 2nd Facial Landmark Localisation Competition. We present a deep architecture to directly detect facial landmarks without using face detection as an initialization. The architecture consists of two stages, a Basic Landmark Prediction Stage and a Whole Landmark Regression Stage.
Xiaohu Shao +6 more
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Proceedings of the International Conference on Internet of things and Cloud Computing, 2016
Face detection is the process of determining the location of human faces in an image. Like human visual system, a face detection system should also be capable of achieving the detection task irrespective of illumination, absence of texture, orientation and camera distance.
Akanksha Das +2 more
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Face detection is the process of determining the location of human faces in an image. Like human visual system, a face detection system should also be capable of achieving the detection task irrespective of illumination, absence of texture, orientation and camera distance.
Akanksha Das +2 more
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Face detection and geometric face normalization
TENCON 2009 - 2009 IEEE Region 10 Conference, 2009Face detection is a prerequisite step for face recognition and face analysis related applications. Aim of the face detection system is to identify and locate all faces regardless of their positions, scale, orientation, lighting conditions, expressions, etc.
K. T. Talele, Sunil Kadam
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Face detection and eyeglasses detection for thermal face recognition
SPIE Proceedings, 2012Thermal face recognition becomes an active research direction in human identification because it does not rely on illumination condition. Face detection and eyeglasses detection are necessary steps prior to face recognition using thermal images. Infrared light cannot go through glasses and thus glasses will appear as dark areas in a thermal image ...
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2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016
Biometric system is widely used to recognize the authorized person based on either behavioral characteristics or physical. But this can be spoofed using various traits. Spoofing attack is nothing but attacking or harming biometric recognition system using security features to use system without permission of authorized user. These biometric systems can
Dhananjay Garud, S.S. Agrwal
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Biometric system is widely used to recognize the authorized person based on either behavioral characteristics or physical. But this can be spoofed using various traits. Spoofing attack is nothing but attacking or harming biometric recognition system using security features to use system without permission of authorized user. These biometric systems can
Dhananjay Garud, S.S. Agrwal
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2018 Nicograph International (NicoInt), 2018
The technology of human face recognition is very useful and important for man-machine communication and security. Then, many methods of face recognition have been developed and are used for a lot of systems such as digital camera, bank ATM (Automated Teller Machine), home security and so on. These days, most of human faces are precisely recognized with
Nobuhiko Mukai +2 more
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The technology of human face recognition is very useful and important for man-machine communication and security. Then, many methods of face recognition have been developed and are used for a lot of systems such as digital camera, bank ATM (Automated Teller Machine), home security and so on. These days, most of human faces are precisely recognized with
Nobuhiko Mukai +2 more
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2019
Research in face detection has seen tremendous growth over the past couple of decades. Beginning from algorithms capable of performing detection in constrained environments, the current face detection systems achieve very high accuracies on large-scale unconstrained face datasets.
Arsenii Zorin, Nikolay Abramov
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Research in face detection has seen tremendous growth over the past couple of decades. Beginning from algorithms capable of performing detection in constrained environments, the current face detection systems achieve very high accuracies on large-scale unconstrained face datasets.
Arsenii Zorin, Nikolay Abramov
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