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Titlebook: Computer Analysis of Images and Patterns; 14th International C Pedro Real,Daniel Diaz-Pernil,Walter Kropatsch Conference proceedings 2011 S

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楼主: dabble
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https://doi.org/10.1007/978-3-540-77913-1tal faces but also for rotated or tilted head poses. We discuss the unique features of our robust training database that significantly influenced the detection performance. The system has been practically implemented and tested in real-world and real-time processing with satisfactory results on determining driver’s level of vigilance.
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The Weighted Landmark-Based Algorithm for Skull Identification, which takes fully into account the different weights of the landmarks in the recognition, is proposed. Moreover, we can select an optimal recognition subset of landmarks to boost the recognition rate according to the recognition quality of landmarks. Experiments validate the proposed method.
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A Novel Face Recognition Approach under Illumination Variations Based on Local Binary Patterndistances between different LBPs. The experimental results on the Yale B and Extended Yale B prove superior performances of the proposed method and measurement compared to other existing methods and measurements.
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Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Networkas 31.6cm that is an acceptable error for sensors with 1.5m distance to each other. We also confirmed that walking path and speed gives sufficient information for authenticating the user. Through the experiments, we obtained the correct recognition rates of 98%, 95% and 86% for any pair, any three people and all ten people to identify individuals.
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0302-9743 l section on: motion analysis, image and shape models, segmentation and grouping, shape recovery, kernel methods, medical imaging, structural pattern recognition, Biometrics, image and video processing, calibration; and tracking and stereo vision.978-3-642-23677-8978-3-642-23678-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Stopping times with given laws,etric structures on the collection of all datasets could be regarded as a ”soft” construction. The classification of algorithms, or the axiomatic characterization of them, could be achieved by imposing the more ”rigid” category structures on the collection of all finite metric spaces and demanding f
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