![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
A Survey of Deep Learning Based Fully Automatic Bone Age Assessment Algorithms
Bone age assessment (BAA) is a technique for assessing the maturity of individual skeletal development, and it is the most accurate and objective method for assessing the deviation of individual development in...
-
Chapter and Conference Paper
A Web-Based Augmented Reality Approach to Instantly View and Display 4D Medical Images
In recent years, development in non-invasive and painless medical imaging such as Computed Tomography (CT) or MRI (magnetic resonance imaging), has improved the process of diseases diagnosis and clarification,...
-
Chapter and Conference Paper
Red-Green-Blue Augmented Reality Tags for Retail Stores
In this paper, we introduce a new Augmented Reality (AR) Tag to enhance detection rates, accuracy and also user experiences in marker-based AR technologies. The tag is a colour printed card, divided into three...
-
Chapter and Conference Paper
Early Diagnosis of Alzheimer’s Disease Based on Selective Kernel Network with Spatial Attention
Alzheimer’s disease (AD) is a neurodegenerative disorder which leads to memory and behaviour impairment. Early discovery and diagnosis can delay the progress of this disease. In this paper, we propose a new de...
-
Chapter and Conference Paper
Research on Country Fragility Assessment of Climate Change
Climate change has attracted people attention in recent years. IPCC’s assessment reports have informed people that climate change also has an influence on the regional instability. Droughts, sea level rise an...
-
Chapter and Conference Paper
A Representation-Based Pseudo Nearest Neighbor Classifier
K-nearest neighbor rule (KNN) is a simple and powerful classification algorithm. In this article, we develop a representation-based pseudo nearest neighbor rule (RPNN), which is based on the idea of pseudo nea...
-
Chapter and Conference Paper
An Effective Face Verification Algorithm to Fuse Complete Features in Convolutional Neural Network
Face verification for on line application is a difficult problem and many researchers have tried to solve it by convolutional neural network. Among of them, most works used the last-hidden layer as the feature...
-
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...
-
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...
-
Chapter and Conference Paper
Face Search in Encrypted Domain
Visual information of images and videos usually is encrypted for the purposes of security applications. Straightforward manipulations on the encrypted data without requiring any decryption have the advantage o...
-
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...
-
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...
-
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....
-
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...
-
Chapter and Conference Paper
Digital Watermark of Static Image Based on Wavelet Transform
Usually a static image is transformed by discrete cosine transform (DCT), texture and edge features mainly concentrated in the high frequency sub-bands LH, HL, and HH. The information on the high-frequency los...
-
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 ...
-
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...
-
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...
-
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...
-
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...