Results 211 to 220 of about 392,904 (260)
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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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2012
A novel Genetic Programming approach for the improvement of the performance of classifier systems through the synthesis of new training instances is presented. The approach relies on the ability of the Genetic Programming engine to identify and exploit shortcomings of classifier systems, and generate instances that are misclassified by them.
Penousal Machado +2 more
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A novel Genetic Programming approach for the improvement of the performance of classifier systems through the synthesis of new training instances is presented. The approach relies on the ability of the Genetic Programming engine to identify and exploit shortcomings of classifier systems, and generate instances that are misclassified by them.
Penousal Machado +2 more
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2006
This paper proposes a novel, simple and efficient method for face segmentation which works by coupling face detection and segmentation in a single framework. We use the OBJCUT [1] formulation that allows for a smooth combination of object detection and Markov Random Field for segmentation, to produce a real-time face segmentation.
Jonathan Rihan +2 more
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This paper proposes a novel, simple and efficient method for face segmentation which works by coupling face detection and segmentation in a single framework. We use the OBJCUT [1] formulation that allows for a smooth combination of object detection and Markov Random Field for segmentation, to produce a real-time face segmentation.
Jonathan Rihan +2 more
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Multiscale Face Detection: A New Approach to Robust Face Detection
2006 IEEE International Conference on Fuzzy Systems, 2006This paper presents a novel method for detecting multiple frontal faces in still images using multi-scale processing. The main characteristic of this algorithm is its stability in detecting faces with seldom false detections and a high correct detection rate.
Mehdi Aghagolzadeh +2 more
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2000
This paper offers a novel detection method, which works well even in the case of a complicated image collection - for instance, a frontal face under a large class of linear transformations. It was also successfully applied to detect 3D objects under different views. Call the class of images, which should be detected, a multi-template.
Daniel Keren +2 more
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This paper offers a novel detection method, which works well even in the case of a complicated image collection - for instance, a frontal face under a large class of linear transformations. It was also successfully applied to detect 3D objects under different views. Call the class of images, which should be detected, a multi-template.
Daniel Keren +2 more
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To Detect or not to Detect: The Right Faces to Morph
2019 International Conference on Biometrics (ICB), 2019Recent works have studied the face morphing attack detection performance generalization over variations in morphing approaches, image re-digitization, and image source variations. However, these works assumed a constant approach for selecting the images to be morphed (pairing) across their training and testing data. A realistic variation in the pairing
Naser Damer +6 more
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Face detection for visual surveillance
12th International Conference on Image Analysis and Processing, 2003.Proceedings., 2004In this paper, a real-time face detection system for color image sequences is presented. The system applies three different face detection methods and integrates the obtained results to achieve a greater location accuracy. The first method localizes the human head through outline analysis, focusing the attention of the system on a small image area. The
FORESTI, Gian Luca +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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Face Detection by Means of Skin Detection
2008In this article we present a novel approach to detect face in color images. Many researchers concentrated on this problem and the literature about this subject is extremely wide. We thought to decompose the overall problem into two intuitive sub-problems: the research of pixels have skin color in the original image and the analysis of pixels portions ...
MASTRONARDI, Giuseppe +2 more
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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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