The growing populairity of tablet PCs and intelligent pen based interfaces have increased the importance of freehand sketch recognition algorithms as enabling technology. A recognition framework based on multiscale st...
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The growing populairity of tablet PCs and intelligent pen based interfaces have increased the importance of freehand sketch recognition algorithms as enabling technology. A recognition framework based on multiscale statistical models of temporal patterns significantly increases correct recognition rates, with no added computati nal penalties.
This work presents a number of cases in computervision where the introduction of the Kronecker product allows more elegant and compact derivations. We hold that a clear notation can enlighten properties and catalyze ...
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This work presents a number of cases in computervision where the introduction of the Kronecker product allows more elegant and compact derivations. We hold that a clear notation can enlighten properties and catalyze reasoning. In particular we introduce the trifocal matrix that allows to express the trilinear constraints among three views by using the familiar matrix algebra. (C) 2007 Elsevier B.V. All rights reserved.
A major challenge in developing advanced thermal processess based on electromagnetic heating is to determine the location of cold spots in foods. A rapid and reliable method was developed in this study with the aim to...
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A major challenge in developing advanced thermal processess based on electromagnetic heating is to determine the location of cold spots in foods. A rapid and reliable method was developed in this study with the aim to effectively locate the cold spot in model food sterilized in microwave systems. The developed method involved application of chemical marker M-2 yield to a model food, mashed potatoes, using computervision system and an image processing software IMAQ vision Builder to capture and analyze color patterns after thermal processes. A systematic study was conducted to establish relationships among M-2 yields, color values from captured images of cut food samples, and thermal lethality (F-0). Several factors including consistency of imaging background and positions of lights over the diffuser box were considered to standardize the method. To facilitate the comparative study of heating characteristic for different combinations of power levels and F0, a mapping scale using unheated and saturated mashed potato samples was developed by fixing the lowest and upper most gray-scale values. Color values equivalent to gray-level values were positively correlated to F-0 and M-2 yield. The specified cold spot location determined by computervision method was validated in a 915 MHz single-mode microwave sterilization system. The results showed that the computervision method can potentially be used as an effective tool in microwave sterilization process development for regulatory acceptance and industrial applications. (c) 2007patternrecognition Society. Published by Elsevier Ltd. All rights reserved.
This paper proposed a model for 2.1D sketch based on primalsketch [6,7] and a corresponding algorithm based on SWC(Swendsen-Wang Cut)[1,2]. Given a primal sketch graph, all boundaries' color and curvature informat...
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ISBN:
(纸本)9780819469526
This paper proposed a model for 2.1D sketch based on primalsketch [6,7] and a corresponding algorithm based on SWC(Swendsen-Wang Cut)[1,2]. Given a primal sketch graph, all boundaries' color and curvature information can be gotten from the dictionary of image primitives of the primal sketch. Suppose all curves in the sketch graph can be combined into closed contours and then contour can be combined into regions. Calculating boundaries similarity energy of two regions by comparing the comparability using the color and curvature information of boundaries, then the energy is regarded as the proposal of SWC. All regions are regarded as nodes of graph space, then the 2.1D sketch problem can be looked as graph partition problem. In each step, all curves will be reorganized into contours and then contours generate regions. Some experiment results based on above model and algorithm are given in the paper.
Support Vector Data Description (SVDD) is a one-class classification method developed in recent years. It has been used in many fields because of its good performance and high executive efficiency when there are only ...
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ISBN:
(纸本)9780819469526
Support Vector Data Description (SVDD) is a one-class classification method developed in recent years. It has been used in many fields because of its good performance and high executive efficiency when there are only one-class training samples. It has been proven that SVDD has less support vector numbers, less optimization time and faster testing speed than those of two-class classifier such as SVM. At present, researches and acquirable literatures about SVDD multi-class classification are little, which restricts the SVDD application. One SVDD multi-class classification algorithm is proposed in the paper. Based on minimum distance classification rule, the misclassification in multi-class classification is well solved and by applying the threshold strategy the rejection in multi-class classification is greatly alleviated. Finally, by classifying range profiles of three targets, the effect of kernel function parameter and SNR on the proposed algorithm is investigated and the effectiveness of the algorithm is testified by quantities of experiments.
Being put forward by the researchers in computervision, self calibration commonly deals with camera with linear model. Since the distortion is practically existed especially for ordinary camera, the result of calibra...
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ISBN:
(纸本)9780819469526
Being put forward by the researchers in computervision, self calibration commonly deals with camera with linear model. Since the distortion is practically existed especially for ordinary camera, the result of calibration can't meet the demand of vision measurement with high accuracy regardless of the distortion. Being obedience to systematism mainly, the distortion is the target function of distortion coefficient, principal point, principal distance ratio and skew factor etc. So there exists a group of parameters including of distortion coefficient, principal point, principal distance ratio and skew factor and fundamental matrix which make homologous point meets epipolar restriction theoretically. Accordingly, the paper advances the way titled self calibration of camera with non-linear imaging model which is on basis of the Kruppa equation. In calculating the fundamental matrix, we can obtain interior elements except principal distance by taking into account distortion correction about image coordinate. Then the principal distance can be obtained by using Kruppa equation. This way only need some homologous points between two images, not need any known information about objects. Lots of experiments have proven its correctness and reliability.
This paper presents a cursive Arabic text recognition system. The system decomposes the document image into text line images and extracts a set of simple statistical features from a narrow window which is sliding a lo...
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This paper presents a cursive Arabic text recognition system. The system decomposes the document image into text line images and extracts a set of simple statistical features from a narrow window which is sliding a long that text line. It then injects the resulting feature vectors to the Hidden Markov Model Toolkit (HTK). HTK is a portable toolkit for speech recognition system. The proposed system is applied to a data corpus which includes Arabic text of more than 600 A4-size sheets typewritten in multiple computer-generated fonts. (c) 2007 Elsevier B.V. All rights reserved.
Fuzzy C-Means (FCM) algorithm is a fuzzy patternrecognition method. Clustering precision of the algorithm is affectedby its equal partition trend for data set of large discrepancy of each class samples number, and th...
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ISBN:
(纸本)9780819469526
Fuzzy C-Means (FCM) algorithm is a fuzzy patternrecognition method. Clustering precision of the algorithm is affected
by its equal partition trend for data set of large discrepancy of each class samples number, and the optimal clustering
result of the algorithm mightn't be a right partition in this case. In order to overcome this disadvantage, a Gaussian
function Weighted Fuzzy C-Means (WFCM) algorithm is proposed, which the weighted function is produced by a
Gaussian function calculating dot density of each sample. To certain extent, the WFCM algorithm has not only overcome
the limitation of equal partition trend in fuzzy Cmeans algorithm, but also been favorable convergence and stability. The
calculation of the weighted function and the choice of sample dot density range restriction value for the algorithm are
both objective. When partially supervised information obtained from a few labeled samples is introduced to the WFCM
algorithm, the classification performance of the WFCM algorithm is further enhanced and the convergent speed of
objective function is further accelerated.
One of the key technologies of Outdoor AR is the real-time 3D registration of objects in the real world. The paper puts forward a new hardware registration method which not only borrows the ideas of identification poi...
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ISBN:
(纸本)9780819469526
One of the key technologies of Outdoor AR is the real-time 3D registration of objects in the real world. The paper puts forward a new hardware registration method which not only borrows the ideas of identification point registration, but improves it to realize tracking registration in video-based outdoor AR, which uses see-through head mounted display (STHMD) loaded on outdoor AR system for showing the result of registration, and employs one color CCD camera capturing video to obtain the world coordinate of scene border. Furthermore, the paper utilizes 3D electronic compass and GPS attached on user's body to calculate transition matrix from the world coordinate system to the camera coordinate system. Then, the transition matrix from the virtual coordinate system to the image plane can be calculated out and 3D virtual object generated by computer model is added into the STHMD as a whole. Synthetically, video-based registration offers a superior approach to 3D registration of dynamic object. Finally, the paper provides the implementation process and designs a test. By the case study, the new method significantly simplifies the registration system and algorithm, and coordination errors are eliminated. The algorithm requires little computation and can be easily realized in real time without delay. Compared with the several existing registration methods, it is significantly improved.
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