In the article three methods of extracting individual typing patterns are proposed and tested. Moreover, we present satisfactory experimental results confirming that these typing patterns may be used as biometrics for...
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ISBN:
(纸本)9783540728481
In the article three methods of extracting individual typing patterns are proposed and tested. Moreover, we present satisfactory experimental results confirming that these typing patterns may be used as biometrics for human identification, especially in web-based applications (e.g. password hardening).
A moment-based approach is developed to constructing tree-structured descriptions of patterns given by region-based shapes with grayscale attributes. The proposed representation is approximately invariant with respect...
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ISBN:
(纸本)9783540728467
A moment-based approach is developed to constructing tree-structured descriptions of patterns given by region-based shapes with grayscale attributes. The proposed representation is approximately invariant with respect to the pattern rotation, translation, scale, and level of brightness. The tree-like structure of the pattern representations provides their independent encoding into prefix code words. Due to this fact, a patternrecognition procedure amounts to decoding a code word of the pattern by the nearest code word from a tree of the code words of selected templates. Efficient application of the pattern representation technique is illustrated by experimental results on signature and hand gesture recognition.
We present in this paper a method for implementing moment functions in a CMOS retina for object localization, and patternrecognition and classification applications. The method is based on the use of binary patterns ...
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Different methods have been proposed in order to deal with the huge amount of information that hyperspectral applications involve. This paper presents a comparison of some of the methods proposed for band selection. A...
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ISBN:
(纸本)9783540728467
Different methods have been proposed in order to deal with the huge amount of information that hyperspectral applications involve. This paper presents a comparison of some of the methods proposed for band selection. A relevant and recent set of methods have been selected that cover the main tendencies in this field. Moreover, a variant of an existing method is also introduced in this work. The comparison criterion used is based on pixel classification tasks.
Dry-cured iberian pig products are some of the most valuables meat products in Spain. Visually discernible features of fat and lean, such as marbling, have an effect on the acceptability of these products. Marbling pr...
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In this paper we propose a new matching method for occupancy grid-maps under the perspective of image registration. Our approach is based on extracting feature descriptors by means of a polar coordinate transformation...
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ISBN:
(纸本)9783540728481
In this paper we propose a new matching method for occupancy grid-maps under the perspective of image registration. Our approach is based on extracting feature descriptors by means of a polar coordinate transformation around highly distinctive points. The proposed method presents a modest computation complexity, although it can find matchings between features reliably and regardless their orientation. Experimental results show the robustness of the estimates even for dynamic environments. Our proposal has important applications into the field of mobile robotics.
This paper describes a new aerial images segmentation algorithm. Kernel Matching Pursuit (KMP) method is introduced to deal with the nonlinear distribution of the man-made objects' features in the aerial images. I...
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ISBN:
(纸本)9783540728481
This paper describes a new aerial images segmentation algorithm. Kernel Matching Pursuit (KMP) method is introduced to deal with the nonlinear distribution of the man-made objects' features in the aerial images. In KMP algorithm, a lot of training samples containing substantive information are used to detect the man-made objects. With KMP classifier, pixels in large aerial images will be labeled as different prediction values, which can be classified linearly. Then the modified Mumford-Shah model, which comprises the features of the KMP prediction values, is built to segment the aerial image by necessary level set evolution. The proposed method is proven to be effective by the results of experiments.
We describe a new approach to incorporate adaptivity into the partial differential equations (PDEs) of morphological dilation and erosion. By multiplication of the image gradient with a space-variant matrix, the speed...
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ISBN:
(纸本)9783540728481
We describe a new approach to incorporate adaptivity into the partial differential equations (PDEs) of morphological dilation and erosion. By multiplication of the image gradient with a space-variant matrix, the speed of the evolution is locally adapted to the data. This is used to create anisotropic morphological evolutions that enhance coherent, flow-like image structures. We show that our adaptive method can be implemented by means of a simple modification of the classical Reny-Tourin finite difference scheme. Numerical experiments confirm that the proposed dilations and erosions are capable of real anisotropic behaviour that can be used for closing interrupted lines.
A novel method for simultaneously acquiring and registering range data of a real object from different viewpoints is presented. Currently, most 3D model reconstruction techniques do not cooperate with the existing ran...
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ISBN:
(纸本)9783540728481
A novel method for simultaneously acquiring and registering range data of a real object from different viewpoints is presented. Currently, most 3D model reconstruction techniques do not cooperate with the existing range data for shape recovery of future viewpoints. In this work, a stereo vision system is developed for 3D model acquisition. To reduce the computation and increase the accuracy of stereo matching algorithms, the recovered range data from previous viewpoints are registered and then used to provide additional constraints for 3D acquisition of the next viewpoint. Experiments have shown that our approach gives better performance on both execution time and stereo matching results.
An Audio fingerprint is a small digest of an audio file computed from its main perceptual properties. Like human fingerprints, audio fingerprints allow to identify an audio file among a set of candidates without retri...
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ISBN:
(纸本)9783540728467
An Audio fingerprint is a small digest of an audio file computed from its main perceptual properties. Like human fingerprints, audio fingerprints allow to identify an audio file among a set of candidates without retrieving any other characteristics. We propose in this paper a fingerprint extraction algorithm based on a new audio segmentation method. A new scoring function based on cl-grams is used to determine if an input signal is a derivated version of a fingerprint stored in the database. A rule based on this scoring function allows to either recover the original input file or to decide that no fingerprint belonging to the database corresponds to the signal. The proposed method is robust against compression and time shifting alterations of audio files.
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