1,720,957 research outputs found
Face and Eye Detection Using Kinect Based On HK-CLASSIFICATION
No full textThis paper presents real-time face and eye detection, which can be applied to many applications, such as a human computer interaction, facial expression recognition and a fatigue warning system. The depth images provided by Kinect are used for our proposed method, including two algorithms: (1) AND operation between gradient of depth images of x and y axis to find the face region, (2) HK-classification [2] to find the nose-tip and the eye-corners. To show an accuracy of the correct detection areas, we compare the overall performance of our proposed method with Haar-like features extraction [l].
Kinect, released by Microsoft, is extremely popular for 2D and 3D image applications, such as a gesture recognition, facial recognition and motion analysis. The resolution of a depth image is 640 x 480 pixels and the frame rate is 30 frames per second, so that it is suitable for real-time system. Moreover, an additional depth image does not depend
on light conditions so is has an advantage over using a normal color image alone.
Our algorithm focuses on an application with single face detection. The depth image sometimes gets holes and spikes, so we apply median filter to increase the quality of the depth image. For the face detection, AND operation of gradient images is able to find the pair-eye surface as the contour and identify it as the face area, shown in Fig1.b.For the eye detection, HK-classification is able to find the nose-tip and the eye-comers by thresholding H and K value in [3]. The coordinate of nose-tip is used to separate two areas, including the left and the right eye, and extract coordinate of these eyes. The areas of the left and the right eye are shown in Figure 1.c.
We implement our algorithms and Haar-like feature extraction using Visual C++ in Visual Studio 2012 and Open Source Computer Vision Library (Open CV). The empirical results show that our method can accurately detect output areas compared to Haar-like features extraction, as shown in Figure 2.
In this paper we have proposed the method for face and eye detection using Kinect's, depth image. This method is suitable for practical applications, since it does not depend on light conditions. In the future, we will further investigate on applications for eye-blink and head- pose detection
Diabetic Retinopathy Classification: Performance Evaluation of Pre-trained Lightweight CNN using Imbalance Dataset
Full text linkDiabetic Retinopathy (DR) is an eye complication that arises from long-term diabetes and damages the retinal blood vessels. Various clinical studies claim that Diabetic retinopathy infects about eighty percent of patients who suffer from diabetes type 1 for the last 15 years and a hundred percent of patients with this disease for 20 years. The human evaluation method is challenging but useful because it can detect diseases by the presence of lesions associated with Diabetic Retinopathy in most cases, but it is also time-consuming, erroneous, and requires a sophisticated medical setup. An efficient and automatic Diabetic Retinopathy identification method is still a challenging task. The feature extraction part is a very significant part and plays a vital role in the automatic Diabetic Retinopathy identification system. CNN has demonstrated its efficiency in medical image classification tasks as compared to other neural networks and traditional image processing methods. In this study, two lightweight CNN models: MobileNet and MobileNetV2 are used via transfer learning for binary (2-class) and multiclass (5-class) Diabetic Retinopathy classification using the DDR dataset, which is highly imbalanced. The efficiency of the models is measured using accuracy, precision, recall, and F1-score values. The ROC curve is generated for both models in binary and multiclass classification. The MobileNet model performed slightly better than MobilenetV2 in Diabetic Retinopathy classification for binary and multiclass classification. MobileNet shows 80% and 71% accuracy whereas MobileNetV2 shows 79% and 69% in binary and multiclass classification, respectively
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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