Skin diseases are very common and the diagnosis is tricky and challenging. Latest research in the field of medicine along with the help of advanced technology has proved to be quite useful not only in diagnosis but al...
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This paper advances an integrated learning and evolutionary computation methodology for approaching the task of learning the face space. The methodology is gear-ed to provide a framework whereby enhanced and robust fa...
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ISBN:
(纸本)0769507514
This paper advances an integrated learning and evolutionary computation methodology for approaching the task of learning the face space. The methodology is gear-ed to provide a framework whereby enhanced and robust face coding and classification schemes can be derived and evaluated using both machine and human benchmark studies. In particular we rake an interdisciplinary approach, drawing from the accumulated and vast knowledge of both the computer vision and psychology communities, and describe how evolutionary computation and statistical learning can engage in mutually beneficial relationships in order to define an exemplar (Absolute)-Based Coding (ABC) multidimensional face space representation for successfully coping with changing population (face) types, and to level-age past experience for incremental face space definition.
Recently, deep convolutional neural networks have been successfully applied in different fields of computer vision and patternrecognition. Offline handwritten signature is one of the most important biometrics applied...
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This paper deals with the relationship between spectral analysis in min-max algebra and ultrametric morphological operators. Indeed, morphological semigroups in ultrametric spaces are essentially based on that algebra...
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ISBN:
(纸本)9783030766566;9783030766573
This paper deals with the relationship between spectral analysis in min-max algebra and ultrametric morphological operators. Indeed, morphological semigroups in ultrametric spaces are essentially based on that algebra. Theory of eigenfunctionals in min-max analysis is revisited, including classical applications (preference analysis, percolation and hierarchical segmentation). Ultrametric distance is the fix point functional in min-max analysis and from this result, we prove that the ultrametric distance is the key ingredient to easily define the eigenfunctions of ultrametric morphological openings and closings.
Object detection and localization is a challenging task. Among several approaches, more recently hierarchical methods of feature-based object recognition have been developed and demonstrated high-end performance measu...
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ISBN:
(纸本)9789898425980
Object detection and localization is a challenging task. Among several approaches, more recently hierarchical methods of feature-based object recognition have been developed and demonstrated high-end performance measures. Inspired by the knowledge about the architecture and function of the primate visual system, the computational HMAX model has been proposed. At the same time robust visual object recognition was proposed using feature distributions, e.g. histograms of oriented gradients (HOGs). Since both models build upon an edge representation of the input image, the question arises, whether one kind of approach might be superior to the other. Introducing a new biologically inspired attention steered processing framework, we demonstrate that the combination of both approaches gains the best results.
The proceedings contain 49 papers. The special focus in this conference is on machinelearning and Information processing. The topics include: Virtual conversation with real-time prediction of body moments/gestures on...
ISBN:
(纸本)9789811518836
The proceedings contain 49 papers. The special focus in this conference is on machinelearning and Information processing. The topics include: Virtual conversation with real-time prediction of body moments/gestures on video streaming data;automatic diagnosis of attention deficit/hyperactivity disorder;classification of types of automobile fractures using convolutional neural networks;a subjectivity detection-based approach to sentiment analysis;imageprocessing and machinelearning techniques to detect and classify paddy leaf diseases: A review;a comparative study of classifiers for extractive text summarization;capabilities of chatbots and its performance enhancements in machinelearning;a deep learning-based approach for predicting the outcome of H-1B visa application;data leakage detection and prevention: Review and research directions;stress detection in speech signal using machinelearning and AI;a blockchain based model to eliminate drug counterfeiting;a comparative analysis of predictive modeling techniques: A case study of device failure;Python and OpenCV in automation of live surveillance;Privacy preservation in ROI of medical images using LSB manipulation;novel approach for measuring nutrition values using smartphone;detection of hate speech in hinglish language;enhancing multi-level cache performance using dynamic R-F characteristics;denoising documents using imageprocessing for digital restoration;humming-Based song recognition;a new data structure for representation of relational databases for application in the normalization process;e-Classroom Using IOT to revolutionize the classical way of knowledge sharing;real drowsiness detection using viola–jones algorithm in tensorflow;smart sound system controller for restricted zones;predictive analysis of co-seismic rock fall hazard in hualien county Taiwan.
strand proposed a distance-based sequential thinning algorithm for producing surface skeletons of binary objects sampled on the face-centered cubic (FCC) grid. In this paper, we present two modified versions of his al...
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ISBN:
(纸本)9783030766566;9783030766573
strand proposed a distance-based sequential thinning algorithm for producing surface skeletons of binary objects sampled on the face-centered cubic (FCC) grid. In this paper, we present two modified versions of his algorithm, which are faster and - according to our experiments - less sensitive to the visiting order of border points in the sequential thinning phase.
In digital image forensics, camera model identification seeks for the source camera model information from the given images under investigation. To achieve this goal, one of the popular approaches is extracting from t...
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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.
GVF Snake model is used widely in computer vision and image segmentation. However, there are problems in convergence processing to boundaries of human body image because of noise. This paper presents a new segmentatio...
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ISBN:
(纸本)9781424410651
GVF Snake model is used widely in computer vision and image segmentation. However, there are problems in convergence processing to boundaries of human body image because of noise. This paper presents a new segmentation algorithm to human body image. First, rough edge is got by multi-scale algorithm of wavelet analysis, and then thinning method based on mathematical morphology is adopted to get edge map as foundation of GVF Snake model. This method solves the problem that the edge based oil wavelets analysis not consecutive. And it improves GVF Snake model's anti-noise ability. Experiments indicate that the new algorithm can improve snake model's ability to segment the complicated image.
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