41 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
**g-** Ge
Chapter
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Chapter and Conference Paper
Derivatives in scale space
Various derivatives (1st to 4th order) describe different signal characters in scale space: the first derivative represents signal variation which can be used for coding; the second derivative characterizes th...
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Chapter and Conference Paper
Color 3D Digital Human Modeling and Its Applications to Animation and Anthropometry
With the rapid advancement in laser technology, computer vision, and embedded computing, the application of laser scanning to the digitization of three dimensional physical realities has become increasingly wi...
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Chapter and Conference Paper
CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching
We present an interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) that is based on comparing feature distributions between a central foreground region and a surr...
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Chapter and Conference Paper
Auto-calibration of a Laser 3D Color Digitization System
A typical 3D color digitization system is composed of 3D sensors to obtain 3D information, and color sensors to obtain color information. Sensor calibration plays a key role in determining the correctness and ...
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Chapter and Conference Paper
Crowd Detection with a Multiview Sampler
We present a Bayesian approach for simultaneously estimating the number of people in a crowd and their spatial locations by sampling from a posterior distribution over crowd configurations. Although this frame...
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Chapter and Conference Paper
Resting State fMRI-Guided Fiber Clustering
Fiber clustering is a prerequisite step towards tract-based analysis of white mater integrity via diffusion tensor imaging (DTI) in various clinical neuroscience applications. Many methods reported in the lite...
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Chapter and Conference Paper
Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles
Fiber clustering is an essential step towards brain connectivity modeling and tract-based analysis of white matter integrity via diffusion tensor imaging (DTI) in many clinical neuroscience applications. A var...
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Chapter and Conference Paper
Spatio-Temporal Phrases for Activity Recognition
The local feature based approaches have become popular for activity recognition. A local feature captures the local movement and appearance of a local region in a video, and thus can be ambiguous; e.g., it can...
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Chapter and Conference Paper
Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction
Magnetic resonance imaging (MRI) has become an essential tool in the diagnosis and managing of Multiple Sclerosis (MS). Currently, the assessment of MS is based on a combination of clinical scores and subjecti...
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Chapter and Conference Paper
Graph Cuts for Supervised Binary Coding
Learning short binary codes is challenged by the inherent discrete nature of the problem. The graph cuts algorithm is a well-studied discrete label assignment solution in computer vision, but has not yet been ...
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Chapter and Conference Paper
A New Radiation Correction Method for Remote Sensing Images Based on Change Detection
As an important remote sensing image pre-processing method, radiation correction is essential to reduce deviation introduced by environment factors, especially for tasks such as image compression, image fusion...
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Chapter and Conference Paper
An Adaptive Fuzzy Clustering Algorithm Based on Multi-threshold for Infrared Image Segmentation
To obtain the satisfied performance of infrared image segmentation in complex environments, an adaptive fuzzy clustering algorithm based on multi-threshold (AFC_MT) is proposed. The methodology uses a coarse-f...
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Chapter and Conference Paper
Frame Rate Up-Conversion Using Motion Vector Angular for Occlusion Detection
In this paper, we study on handling the issue of occlusions in frame rate up-conversion (FRUC), which has been widely used to reconstruct high-quality videos presented on liquid crystal display. Depending on d...
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Chapter and Conference Paper
Negative-Supervised Cascaded Deep Learning for Traffic Sign Classification
In this paper, we propose a novel deep learning framework for object classification called negative-supervised cascaded deep learning. There are two hierarchies in our cascaded method: the first one is a convo...
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Chapter and Conference Paper
Regularized Bayesian Metric Learning for Person Re-identification
Person re-identification across disjoint cameras has attracted increasing interest in computer vision due to its wide potential applications in visual surveillance. In this paper, we propose a new regularized ...
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Chapter and Conference Paper
Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI
Resting state fMRI (rsfMRI) has been a useful imaging modality for network level understanding and diagnosis of brain diseases, such as mild traumatic brain injury (mTBI). However, there call for effective met...
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Chapter and Conference Paper
Video Question Answering Using a Forget Memory Network
Visual question answering combines the fields of computer vision and natural language processing. It has received much attention in recent years. Image question answering (Image QA) targets to automatically an...
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Chapter and Conference Paper
ScratchNet: Detecting the Scratches on Cellphone Screen
In the process of cellphone screen manufacture, equipment failures and human errors may lead to screen scratches. Traditional manual ways check scratches by human eyes, which often costs large manpower and tim...
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Chapter and Conference Paper
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images
Skin cancer is the most common cancer world-wide, among which Melanoma the most fatal cancer, accounts for more than 10,000 deaths annually in Australia and United States. The 5-year survival rate for Melanoma...
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Chapter and Conference Paper
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls
Spatial distribution patterns of functional brain networks derived from resting state fMRI data have been widely examined in the literature. However, the spatial overlap patterns among those brain networks hav...
