Results 171 to 180 of about 429,065 (209)
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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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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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International Journal of Computer Vision, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
François Fleuret, Donald Geman
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
François Fleuret, Donald Geman
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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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To face or not to face: Towards reducing false positive of face detection
2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016We tackle the problem of reducing the false positive rate of face detectors by applying a classifier after the detection step. We first define and study this post classification problem. To this end, we first consider the multiple-stage cascade structure which is the most common face detection architecture.
Siqi Yang 0001 +2 more
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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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Detecting Arbitrarily Rotated Faces for Face Analysis
2019 IEEE International Conference on Image Processing (ICIP), 2019Current face detection concentrates on detecting tiny faces and severely occluded faces. Face analysis methods, however, require a good localization and would benefit greatly from some rotation information. We propose to predict a face direction vector (FDV), which provides the face size and orientation and can be learned by a common object detection ...
Frerk Saxen +4 more
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The extension of statistical face detection to face tracking
First Canadian Conference on Computer and Robot Vision, 2004. Proceedings., 2004A real time probablistic face tracking system using monocular vision is presented based on face target acquisition and subsequent particle filtering techniques. First, the face target acquisition and initialization stage used a skin color classification and statistical face model matching apprroach to find the face target.
Haisheng Wu, John S. Zelek
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Efficient face candidates selector for face detection
Pattern Recognition, 2003Abstract In this paper an efficient face candidates selector is proposed for face detection tasks in still gray level images. The proposed method acts as a selective attentional mechanism. Eye-analogue segments at a given scale are discovered by finding regions which are roughly as large as real eyes and are darker than their neighborhoods.
Jianxin Wu 0001, Zhi-Hua Zhou
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