The aim of the paper is to present a part of an architecture realized by Huawei, that propose the first Christmas tree endowed with artificial intelligence. Its ability is to identify facial expressions from images ac...
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In this paper we propose an evidencial measure for Multiwavelet best basis selection. The main idea is like Wavelet Packet, WP with the best basis selection where the filter applied to the signal varies adaptically wi...
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In this paper we propose an evidencial measure for Multiwavelet best basis selection. The main idea is like Wavelet Packet, WP with the best basis selection where the filter applied to the signal varies adaptically with time. Here instead of entropy, we use the plausibility state(the degree of beliefs in the merit) in the image, because we can gain other measure that is more sophisticated. Finally we approve the efficiency of using Multiwavelets with adaptive tree structure with aoolying to imageprocessing.
In a biometric verification system of a smart gun, the rightful user is recognized based on his hand-pressure pattern. The main factor which affects the verification performance of this system is the variation between...
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ISBN:
(纸本)9781424415960
In a biometric verification system of a smart gun, the rightful user is recognized based on his hand-pressure pattern. The main factor which affects the verification performance of this system is the variation between the probe image and the gallery image of a subject, in particular when the probe and the gallery images have been recorded with a few weeks in between. One of the major variations is in the pressure distribution of images. In this work, we propose a novel preprocessing technique, Local Absolute Binary patterns, prior to grip-pattern classification. With respect to a certain pixel in an image, Local Absolute Binary patterns processing quantifies how its neighboring pixels are fluctuating. It will be shown that this technique can both reduce the variation of pressure distribution, and extract information of the hand shape in the image. Therefore, a significant improvement of the verification result has been achieved.
Face recognition is an important patternrecognition problem in the study of natural and artificial learning systems. In typical optical image based face recognition systems, the systematic variability that arises fro...
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ISBN:
(纸本)9781424404681
Face recognition is an important patternrecognition problem in the study of natural and artificial learning systems. In typical optical image based face recognition systems, the systematic variability that arises from representing the three dimensional (3D) shape of a face by a two dimensional (2D) illumination intensity matrix is treated as a random variable, and it is obtained by collecting examples of faces in different poses with respect to the camera. More sophisticated 3D recognition systems employ specialist equipment (e.g. laser scanners) to measure the shape of the face, and they perform either pattern matching in three dimensions or they use projections from 3D models to match against 2D images. It is shown here that optical images obtained with a pair of stereo cameras may be used to extract depth information in the form of disparity values, and thereby significantly enhance the performance of a face recognition system.
This article presents an extensivc survey of recent studies on mobile applications for ocular diseases detection. Survey results show that smartphone applications are the current niche in healthcare, particularly in t...
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ISBN:
(纸本)9781538652671
This article presents an extensivc survey of recent studies on mobile applications for ocular diseases detection. Survey results show that smartphone applications are the current niche in healthcare, particularly in the diagnosis of ocular diseases. This environment has led to the development of the proposed framework of a corneal disease screening system using mobile phones to overcome the aforementioned limitations. Typically, such systems are integrated with the Internet of Things and imageprocessing with machinelearning techniques to process the anterior segment of photographed images. Thus, they are able to serve as automatic systems to assist optometrists in clinical diagnosis.
Rice plant disease detection and classification include employing methods such as Computer Vision (CV) and machinelearning (ML) for classifying and recognizing diseases affecting rice crops. These techniques could he...
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Color and shape retrieval are two important retrieval methods in content based image database. Recently we developed a new method which use Schwarz representation to match one-dimensional signal. It can obtain closed ...
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Color and shape retrieval are two important retrieval methods in content based image database. Recently we developed a new method which use Schwarz representation to match one-dimensional signal. It can obtain closed form match function and similarity measure without optimization. Color histogram is a natural one-dimensional signal. Contour can be converted into onedimensional signal using its tangent angle. In this paper, we introduce this method to image retrieval based on the color and shape, respectively. Experimental results show its efficiency and accuracy.
A new method of fusing image information is described. It enables the efficient integration of probabilistic information relating to background and object characteristics. This is discussed in the context of related w...
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A new method of fusing image information is described. It enables the efficient integration of probabilistic information relating to background and object characteristics. This is discussed in the context of related work on active contours in which region information is used. The region terms can be derived from the gradient of the likelihood function presented here. The limitations of using the gradient only are discussed. It is argued that both the likelihood gradient and the likelihood function itself should be used instead.
Imposters gain unauthorized access to biometric recognition systems using fake biometric data of the legitimate user termed as spoofing. Spoofing of face recognition systems is done by photographs, 3D models and video...
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ISBN:
(纸本)9781450347563
Imposters gain unauthorized access to biometric recognition systems using fake biometric data of the legitimate user termed as spoofing. Spoofing of face recognition systems is done by photographs, 3D models and videos of the user. Attack video contains noise from the acquisition process. In this work, we use noise residual content of the video in order to detect spoofed videos. We take advantage of wavelet transform for representing the noise video. Samples of the noise video, termed as visual rhythm image is created for each video. Local Binary pattern (LBP) and uniform Local Binary pattern (LBPu2) are extracted from the visual rhythm image followed by classification using Support Vector machine (SVM). Large size of video from which a number of frames are used for analysis results in huge execution timing. In this work the spoof detection algorithm is applied on various levels of subsections of the video frames resulting in reduced execution timing with reasonable detection accuracies.
Nowadays, computer-based face recognition is a mature and reliable mechanism that is significantly used in many access control scenarios along with other biometric methods. Face recognition consists of two subtasks in...
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