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In digital photography red eye is caused mainly under low light conditions when a flash is used for capturing the image. Many of the commercial solutions that are available in the market require some user intervention. In this paper we present a method, which detects the presence of red eyes in Images without any user intervention and corrects it. The automatic solution is based on GMM (Gaussian mixture...
In the problem of face clustering with multi-views, the similarity between faces of different persons with similar pose is usually greater than the similarity between multi-view faces of the same person. This may exert a tremendous impact on the clustering result that sent back to the user. To solve this problem, we should do pose clustering first and then within each dasiapose grouppsila, clustering...
Judging whether a Web image contains people is useful in both pornographic image recognition and image filtering when searching for images of people. We proposed an approximate but rapid method to solve this problem. For a Web image, three types of probabilities are calculated from the image itself, the imagepsilas associated texts and the title of the Web page is located, respectively. Then a final...
This paper describes a face detection system for color images in presence of varying lighting conditions as well as complex background. Based on boosting technology, our method discard majority of no-face pixel, and then use neural network detect face rapidly. Experiential results demonstrate successful face detection over wide digital photos and Webcams rapidly.
This paper describes a multi-view face detection method which combined skin color information and AdaBoost-based face detection technique together to improve the detection accuracy and detection speed. First the input image is converted into YCbCr color space, then the image is binarized according to skin threshold and a binary image was obtained in which pixels with value 1 are skin-pixels and pixels...
A computer aided diagnosis (CADx) system for oral mucosal lesions has been developed using clinical cases from India as training examples. The investigated classifiers were support vector machine (SVM) and Bayes point machine (BPM), and the task was to discriminate potentially precancerous lesions from non-precancerous lesions. The discriminating features consisted of color differences and lesionspsila...
Face detection and recognition in a video is a challenging research topic as overall processes must be done timely and efficiently. In this paper, a novel face detection and recognition system using three fast cascade face verification modules and an ensemble classifier is presented. Firstly, the head of a tester is serially verified by our proposed three verification modules: face skin verification...
In this article, properties and usability of combined operator based on t-norms and t-conorms is studied in medical data classification. It is shown how this operator can be weighted with differential evolution and aggregated with a generalized mean, and what kinds of measures for comparison can be achieved from this procedure. New operators suitable for comparison measures are suggested, that are...
This paper researches and implements a virtual and real moving objects interaction system in augmented reality (AR) environment based on artificial immune system. A custom artificial immune algorithm is applied in this paper in order to solve the collision detection problems with virtual and real objects. System mainly realized a fast collision detection algorithm to detect the process of actual moving...
The ability to recognize emotion is one of the hallmarks of emotion intelligence. This paper proposed to recognize emotion using physiological signals obtained from multiple subjects. IAPS images were used to elicit target emotions. Five physiological signals: Blood volume pulse (BVP), Electromyography (EMG), Skin Conductance (SC), Skin Temperature (SKT) and Respiration (RESP) were selected to extract...
In recent times advances in data communication technologies, in particular high speed Internet connections and 3G mobile phones, have introduced major concern about the relative ease of access to unsuitable material. This academic and commercial problem of real time detection of unsuitable images communicated by phone and Internet has grown steadily over the last number of years. This review paper...
A new approach for skin region segmentation is proposed. It uses color distance map (CDM) and an algorithm based on the property of flow of water. The CDM itself is a grayscale image, which makes the algorithm very simple. However, it is still capable of providing color information based on which some skin and non-skin seed regions can be determined reliably. Then a water-flow based procedure determines...
In this paper an improvement of the performance for detecting faces in color images is proposed. This improvement is achieved by integrating the AdaBoost learning algorithm with skin color information. Firstly, the system searches the entire image for face candidates by skin color segmentation and morphological operations, then a powerful feature selection algorithm, AdaBoost is performed to automatically...
Early detection of melanoma is a very critical issue in todaypsilas dermatologic practice. Different diagnostic methods have been proposed which define multiple criteria for the evaluation of the malignancy of a lesion. The paper is devoted to the detection of an important dermatologic structure: the atypical pigmented network. A proposal is described for the application of decision-tree classification...
Hand gesture identification is a complex problem, where more number of muscles will be involved even for a simple hand movement. Surface electromyography (sEMG) is an indicator of muscle activity and related to body movement and posture. In the recent past sEMG had been used with various statistical signal processing technique to identify different hand gestures, but since the hand actions require...
In this paper, we argue that the most difficult face recognition problems (unconstrained face recognition) will be solved by simultaneously leveraging the solutions to multiple vision problems including segmentation, alignment, pose estimation, and the estimation of other hidden variables such as gender and hair color. While in theory a single unified principle could solve all these problems simultaneously...
Particle filtering is an efficient and successful technique for tracking 2D and 3D motion through an image. We present the enhanced tracking of two hands based on a statistical model using only a skin colour feature with particle filtering for gesture recognition. Our framework employs one particle filter per hand individually with the pixel-wise classification of the likelihood of the skin in the...
In this article, we propose a new supervised learning approach for pattern classification applications involving large or imbalanced data sets. In this approach, a clustering technique is employed to reduce the original training set into a smaller set of representative training exemplars, represented by weighted cluster centers and their target outputs. Based on the proposed learning approach, two...
This paper describes our approach to face localization task. In the first part we discuss the way to find a suitable color model for automatic face segmentation and in next part, there is a practical application of the model in an algorithm which major use is in the videophone applications according to his simplicity and technical compatibility with videophone technology (YCbCr color space). This...
Although the depth information of the scene is not stored while taking a picture, some features about the depth information still exist in the captured image. In this paper, we propose a method that generates the depth map of a single image based on scene classification. At first, it classifies the scene of the image into categories according to the color feature; then it generates the depth map of...
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