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Chapter and Conference Paper
Illumination Invariant Color Model for Object Recognition in Robot Soccer
In this paper, a new illumination invariant color model HSy with large discriminating power is proposed for object recognition in autonomous robot soccer. Object recognition for soccer robot is used as a bench...
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Chapter and Conference Paper
Iris Plaque Detection Method Based on Level Set
According to Iridology, the shape and position of iris plaques can reflect the health condition of human organs. In this paper, we propose a method to detect iris plaques automatically with computer vision tec...
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Chapter and Conference Paper
Synthesis and Characterization of Eco-friendly Composite: Poly(Ethylene Glycol)-Grafted Expanded Graphite/Polyaniline
In this paper, synthesis and characterization of poly(ethylene glycol)- grafted expanded graphite/polyaniline (PEG-grafted EG/PANi) as a novel ecofriendly composite material was reported. EG as substrate prepa...
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Chapter and Conference Paper
Model of Fuzzy Comprehension Evaluation of Traffic Operations Safety on Urban Ice and Snow Road
In order to evaluate traffic operation safety of urban ice and snow road objectively, ice and snow pavement friction coefficient, visibility, following distance and snow-accumulated depth are chosen as evaluat...
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Chapter and Conference Paper
Characteristics of Risky Merging Driving Behavior on Urban Expressway
According to statistical data, risky merging driving behavior has taken adverse impact on traffic safety, and it widely exists in the ramp connecting section of urban expressway. Risky merging driving behavior...
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Chapter and Conference Paper
Automatic Fiberboard Density Testing Based on Application of Computed Tomography
Fiberboard has long been a significant practical material. Computed tomography (CT) shows great potential for nondestructive testing of the property and internal structure of fiberboard. In the paper, utilize ...
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Chapter and Conference Paper
Contact-Less Palm Vein Recognition Based on Wavelet Decomposition and Partial Least Square
To solve the problem of low recognition performance caused by contact-less imaging and poor palm vein image quality, a novel recognition method is proposed. Firstly, the ROI based on the thenar (a part of palm...
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Chapter and Conference Paper
Venous Congestion Detection Method Based on HSI Color Space
The venous congestion is a very important kind of feature in iridology. How to detect and analyze the venous congestion is crucial to the automatic iris diagnosis system. Based on the HSI color space, this pap...
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Chapter and Conference Paper
Live Face Detection by Combining the Fourier Statistics and LBP
With the development of E-Commerce, biometric based on-line authentication is more competitive and is paid more attentions. It brings about one of hot issues of liveness detection recently. In this paper, we p...
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Chapter and Conference Paper
A Pose Robust Face Recognition Approach by Combining PCA-ASIFT and SSIM
Affine Scale Invariant Feature Transform (ASIFT) is robust to scales, rotation, scaling and affine transformation. It could be used for face recognition with pose variation. However, ASIFT requires large data....
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Chapter and Conference Paper
A Facial Pose Estimation Algorithm Using Deep Learning
Pose estimation is one of key issues in face recognition in complex background and human-computer interaction. In this paper, we propose a novel algorithm to estimating facial pose using deep learning. We desi...
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Chapter and Conference Paper
Event Analogy Based Privacy Preservation in Visual Surveillance
Privacy preservation as a thorny problem in surveillance has been arisen because of its relevance to human right, however it has not been completely solved yet today. In this paper, we investigate this existin...
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Chapter and Conference Paper
A Face Liveness Detection Scheme to Combining Static and Dynamic Features
Face liveness detection is an interesting research topic in face-based online authentication. The current face liveness detection algorithms utilize either static or dynamic features, but not both. In fact, t...