This paper presents inexpensive computervision techniques allowing to measure the texture characteristics of woven fabric, such as weave repeat and yarn counts, and the surface roughness. First, we discuss the automa...
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This paper presents inexpensive computervision techniques allowing to measure the texture characteristics of woven fabric, such as weave repeat and yarn counts, and the surface roughness. First, we discuss the automatic recognition of weave pattern and the accurate measurement of yarn counts by analyzing fabric sample images. We propose a surface roughness indicator FDFFT, which is the 3-D surface fractal dimension measurement calculated from the 2-D fast Fourier transform of high-resolution 3-D surface scan. The proposed weave patternrecognition method was validated by using computer-simulated woven samples and real woven fabric images. All weave patterns of the tested fabric samples were successfully recognized, and computed yarn counts were consistent with the manual counts. The rotation invariance and scale invariance of FDFFT were validated with fractal Brownian images. Moreover, to evaluate the correctness of FDFFT, we provide a method of calculating standard roughness parameters from the 3-D fabric surface. According to the test results, we demonstrated that FDFFT is a fast and reliable parameter for fabric roughness measurement based on 3-D surface data.
The rise of cellphones and other mobile devices as an interface platform for end users has spurred the demand for applications with richer feature sets with each new generation. This demand for functionality has drive...
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ISBN:
(纸本)9781601321916
The rise of cellphones and other mobile devices as an interface platform for end users has spurred the demand for applications with richer feature sets with each new generation. This demand for functionality has driven an increase in the power and complexity of the underlying hardware. The combination of ever-advancing hardware and rich software environments provides possibilities for functionality that have not existed in the past. This project explores a framework for providing true on-device computervision and image analysis functionality as a means of further enhancing the functionality of evolving mobile devices. The paper describes the development and evaluation of a prototype computervision application for the Android platform that provides native image generation and analysis functionality.
In this paper a novel and more realistic analytical model for the fixed-pattern noise present in infrared focal plane arrays is developed. The model captures, in the frequency domain, the spatial structure of the fixe...
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ISBN:
(纸本)9783642250842
In this paper a novel and more realistic analytical model for the fixed-pattern noise present in infrared focal plane arrays is developed. The model captures, in the frequency domain, the spatial structure of the fixed-pattern noise yielding a suitable input/output representation for an infrared focal plane array. The theoretical and practical applicability the model is illustrated by both synthesizing fixed-pattern noise from three different infrared cameras and improving the performance of a previously reported fixed-pattern noise compensation algorithm.
computervision is the estimation of the three dimensional shape and other properties of objects based on their two dimensional (projection) images through the use of computers and cameras. It had its beginning in the...
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ISBN:
(纸本)9783642210730
computervision is the estimation of the three dimensional shape and other properties of objects based on their two dimensional (projection) images through the use of computers and cameras. It had its beginning in the early 1960s. At the time, it was thought to be an easy problem with a solution probably possible over a summer. However, the basic problem has proved to be far more difficult. Over the span of the last 50 years, computervision has matured from a research topic in the early 1960s to a mature field of research and application. Today, computervision, image processing, and patternrecognition are addressing many societal and technological problems.
Face recognition is a challenging problem in computervision and human computer interaction. Texture is the surface property which is used to identify and recognize objects in an image. Texture based facial recognitio...
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In this paper, a proposed system for classify Islamic geometric patterns with emphasis on representation and recognition stages is introduced. Finding a unique feature for classify IGPs is a hard work that hasn 't...
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ISBN:
(纸本)9781601321916
In this paper, a proposed system for classify Islamic geometric patterns with emphasis on representation and recognition stages is introduced. Finding a unique feature for classify IGPs is a hard work that hasn 't been done since today because of the diversity of their different structure. To implement this technique, we use shape based classification. Geometric central moments have been utilized as shape image descriptor. In classification stage, two different classifiers namely K-nearest neighbor rule, feed forward neural network has been used Set of different experiments on binary images of regular, translated, rotated and scaled Islamic geometric shape has been done and variety of results has been presented. The best result was 92.84% correct recognition demonstrating geometrical central moments and Nearest Neighbor are adequate for Islamic star patternrecognition. This research is a part of an application for analysis Islamic Geometric patterns images.
patternrecognition has become an attractive research oriented field of the computervision and machine learning for the last few decades. Neural patternrecognition techniques are also being exercised for pattern rec...
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Low-cost depth cameras create new opportunities for robust and ubiquitous vision-based interfaces. While much research has focused on full-body pose estimation and the interpretation of gross body movement, this work ...
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ISBN:
(纸本)9781467300636
Low-cost depth cameras create new opportunities for robust and ubiquitous vision-based interfaces. While much research has focused on full-body pose estimation and the interpretation of gross body movement, this work investigates skeleton-free hand detection, tracking, and shape classification. Our goal is to build a rich and reliable gestural interface by developing methods that recognize a broad set of hand shapes and which maintain high accuracy rates across a wide range of users. In this paper, we describe our approach to real-time hand detection and tracking using depth data from the Microsoft Kinect. We present quantitative shape recognition results for eight hand shapes collected from 16 users and then discuss physical configuration and interface design issues that help boost reliability and overall user experience.
Shape recognition plays an important role in machine vision applications. The effective recognition algorithm should be less complicated and more accurate. In this paper, a structural descriptor for shape recognition ...
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The problem of reconstructing the feature values in samples of objects given in terms of numerical features is considered. The three approaches, not involving the use of probability models and a priori information, ar...
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ISBN:
(纸本)9783642250842
The problem of reconstructing the feature values in samples of objects given in terms of numerical features is considered. The three approaches, not involving the use of probability models and a priori information, are considered. The first approach is based on the organization of the iterative procedure for successive elaboration of missing values of attributes. In this case, the analysis of local information for each object with missing data is fulfilled. The second approach is based on solving an optimization problem. We calculate such previously unknown feature values for which there is maximum correspondence of metric relations between objects in subspaces of known partial values and found full descriptions. The third approach is based on solving a series of recognition tasks for each missing value. Comparisons of these approaches on simulated and real problems are presented.
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