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Chapter and Conference Paper
Freeflight: A virtual endoscopy system
We created a virtual endoscopy system, called FreeFlight, that interactively generates three-dimensional endoscopic images of human anatomy using spiral CT data. The software is based on Silicon Graphics' Open...
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Chapter and Conference Paper
Simulated Annealing Based Hand Tracking in a Discrete Space
Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper represents the feasible hand config...
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Chapter and Conference Paper
Elastic Algorithm: A New Path Planning Algorithm About Auto-navigation in 3D Virtual Scene
Elastic Algorithm proposed in this paper is a new and fast path planning algorithm to solve the problem of auto-navigation in 3D virtual scene. First, with a grid model based representation of virtual environm...
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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
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
Colorectal Polyp Segmentation Based on Geodesic Active Contours with a Shape-Prior Model
Automated polyp segmentation is important both in measuring polyp size and in improving polyp detection performance in CTC. We present a polyp segmentation method that is based on the combination of geodesic a...
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Chapter and Conference Paper
An Improved EDP Algorithm to Privacy Protection in Data Mining
In this paper, we propose an improved pruning algorithm with memory, which we call improved EDP algorithm. This method provides the better trade-off between data quality and privacy protection against classifi...
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Chapter and Conference Paper
Study on UAV Video Reconnaissance Based Adaptively Tracking Algorithm for the Ground Moving Target
In this paper, the problem of adaptive tracking for the Ground Moving Target (GMT) based on Unmanned Aerial Vehicle (UAV) reconnaissance video is addressed. More specifically, motion model and observation mode...
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Chapter and Conference Paper
Towards Adaptive Classification of Motor Imagery EEG Using Biomimetic Pattern Recognition
This paper implements Biomimetic Pattern Recognition (BPR) into the adaptive classification of motor imagery EEG data by introducing three adaptive operators. The adaptive BPR works well when facing the proble...
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Chapter and Conference Paper
Noise Face Image Hallucination via Data-Driven Local Eigentransformation
Face hallucination refers to inferring an High-Resolution (HR) face image from the input Low-Resolution (LR) one. It plays a vital role in LR face recognition by both manual and computer. The eigentransformati...
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Chapter and Conference Paper
Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance
In this paper, we propose a novel interactive image segmentation method for RGB-D images using hierarchical Graph Cut. Considering the characteristics of RGB channels and depth channel in RGB-D image, we utili...
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Chapter and Conference Paper
Condition Monitoring for Image-Based Visual Servoing Using Kalman Filter
In image-based visual servoing (IBVS), the control law is based on the error between the current and desired features on the image plane. The visual servoing system is working well only when all the designed f...
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Chapter and Conference Paper
Sleep Stages Classification Using Neural Networks with Multi-channel Neural Data
Recent studies on sleep reveal its importance not only on body functioning but also in brain and cognition health. As the development of wearable smart devices, neural data such as electroencephalogram (EEG) b...
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Chapter and Conference Paper
Traffic Sign Recognition Based on Attribute-Refinement Cascaded Convolutional Neural Networks
Traffic sign recognition is a critical module of intelligent transportation system. Observing that a subtle difference may cause misclassification when the actual class and the predictive class share the same ...
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Chapter and Conference Paper
Research on Perception Sensitivity of Elevation Angle in 3D Sound Field
The development of virtual reality and three-dimensional (3D) video inspired the concern about 3D audio, 3D audio aims at reconstructing the spatial information of original signals, the spatial perception sens...
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Chapter and Conference Paper
Salient Object Detection in Video Based on Dynamic Attention Center
Salient object detection in video has attracted enormous research efforts for its wide applicability. But there are still some issues in restraining the disturbance of background, which make it difficult to de...
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Chapter and Conference Paper
Adaptive Multi-window Matching Method for Depth Sensing SoC and Its VLSI Implementation
This paper presents the full VLSI implementation of adaptive multi-window matching method for depth sensing system on a chip (SoC) based on active infrared structured light, which estimates the 3D scene depth ...
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Chapter and Conference Paper
Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking
In this paper, we address the problem of searching action proposals in unconstrained video clips. Our approach starts from actionness estimation on frame-level bounding boxes, and then aggregates the bounding ...
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Chapter and Conference Paper
Adaptive Control of Human-Interacted Mobile Robots with Velocity Constraint
In this paper, we present an adaptive control for mobile robots moving in human environments with velocity constraints. The mobile robot is commanded to track the desired trajectory while at the same time guar...
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Chapter and Conference Paper
Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features
Named entity disambiguation (NED) is the task of linking ambiguous mentions in text to their corresponding entities in a given knowledge base, such as Wikipedia. State-of-the-art NED solutions harness neural n...