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Titlebook: Image Analysis and Recognition; 10th International C Mohamed Kamel,Aurélio Campilho Conference proceedings 2013 Springer-Verlag Berlin Heid

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書(shū)目名稱Image Analysis and Recognition
副標(biāo)題10th International C
編輯Mohamed Kamel,Aurélio Campilho
視頻videohttp://file.papertrans.cn/462/461380/461380.mp4
概述Up-to-date results.Fast track conference proceedings.State-of-the-art report
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Image Analysis and Recognition; 10th International C Mohamed Kamel,Aurélio Campilho Conference proceedings 2013 Springer-Verlag Berlin Heid
描述This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Image Analysis and Recognition, ICIAR 2013, held in Póvoa do Varzim, Portugal, in June 2013, The 92 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in topical sections on biometrics: behavioral; biometrics: physiological; classification and regression; object recognition; image processing and analysis: representations and models, compression, enhancement , feature detection and segmentation; 3D image analysis; tracking; medical imaging: image segmentation, image registration, image analysis, coronary image analysis, retinal image analysis, computer aided diagnosis, brain image analysis; cell image analysis; RGB-D camera applications; methods of moments; applications.
出版日期Conference proceedings 2013
關(guān)鍵詞biomedical data; computer vision; image steganography; pattern recognition; unsupervised learning
版次1
doihttps://doi.org/10.1007/978-3-642-39094-4
isbn_softcover978-3-642-39093-7
isbn_ebook978-3-642-39094-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Visual Speaker Identification with Spatiotemporal Directional Featureson encoded as weight for the bins with the same sign value is developed to improve the discriminative ability. Moreover, decorrelation is exploited to remove the redundancy of features. Experimental results on the challenging XM2VTS database show the effectiveness of the proposed representation for this problem.
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Biometric Authentication Based on Pupillary Light Reflex Using Neural Networksat the biometric level. The involuntary responses of the body cannot be removed from the person, naturally mimicked or reproduced by artificial means. This paper presents a proposal for the use of the features of the Pupillary Light Reflex for user authentication, using artificial neural networks for classification.
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Outlier Detection in Non-intrusive ECG Biometric Systeme artifacts. In this paper, we propose an outlier removal system to eliminate noisy segments, and enhance the performance of non-intrusive ECG biometric systems. Preliminary results show that this system leads to an improvement on the recognition rates, helping to further validate the potential of ECG signals as complementary biometric modality.
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A Two-Layer Marked Point Process Framework for Multilevel Object Population Analysisthe observed data, prior knowledge, and local interactions between the neighboring and semantically related objects. The proposed method is demonstrated in three different application areas: built in area analysis in remotely sensed images, traffic monitoring on airborne Lidar data and optical inspection of printed circuit boards.
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On Adaptive Fingerprint Pore Extraction. Although we illustrate its application only on a specific database, our approach is quite general, simple and can be easily extended to others image applications involving similar feature extraction.
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