89 Result(s)
within
English
Artificial Intelligence
Computer Graphics
Image Processing and Computer Vision
Yi**ang Chen
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Chapter and Conference Paper
Face recognition using a face-only database: A new approach
In this paper, a coarse-to-fine, LDA-based face recognition system is proposed. Through careful implementation, we found that the databases adopted by two state-of-the-art face recognition systems[1,2] were in...
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Chapter and Conference Paper
Hierarchical segmentation and representation with dynamic link architecture neural network
A segmentation scheme based on tracing objects through scale space is proposed. For analyzing the image structure in scale space, a hierarchical neuraloscillator network is proposed. Its intrinsic dynamics pro...
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Chapter and Conference Paper
Multiscale image representation and edge detection
In this paper, we present an edge detection method based on the thin-plate spline with tension. Under regularization theory, the image is represented in a convolution form between the original image data and a...
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Chapter and Conference Paper
A Simple Implementation of the Stochastic Discrimination for Pattern Recognition
The method of stochastic discrimination (SD) introduced by Kleinberg ([6,7]) is a new method in pattern recognition. It works by producing weak classifiers and then combining them via the Central Limit Theorem to...
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Article
Multi-tuple interpolation using Fourier descriptors
This paper presents a new object interpolation method called multi-tuple interpolation. Its principal feature is the use of Fourier descriptors to represent a contour and to obtain its four attributes, namely, sh...
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Chapter and Conference Paper
Segmentation of Left Ventricle via Level Set Method Based on Enriched Speed Term
Level set methods have been widely employed in medical image segmentation, and the construction of speed function is vital to segmentation results. In this paper, two ideas for enriching the speed function in ...
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Chapter and Conference Paper
Convergent Bayesian Reconstruction for PET Using New MRF Quadratic Membrane-Plate Hybrid Multi-order Prior
The effectiveness of Bayesian reconstruction, or maximum a posteriori (MAP) method, has been proved in positron emission tomography. In this article, a novel convex MRF (Markov random fields) Membrane-Plate hy...
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Chapter and Conference Paper
Subdivision Depth Computation for Extra-Ordinary Catmull-Clark Subdivision Surface Patches
A second order forward differences based subdivision depth computation technique for extra-ordinary Catmull-Clark subdivision surface (CCSS) patches is presented. The new technique improves a previous techniqu...
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Chapter and Conference Paper
A Novel Liver Perfusion Analysis Based on Active Contours and Chamfer Matching
Liver Perfusion gives important information about blood supply of liver. However, in daily clinical diagnosis, radiologists have to manually mark the perfusion position in time-sequence images due to the motio...
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Chapter and Conference Paper
Content-Based Human Motion Retrieval with Automatic Transition
This paper presents a framework for efficient content-based motion retrieval. To bridge the gap between user’s vague perception and explicit motion scene description, we propose a Scene Description Language that ...
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Article
Segmenting a deforming mesh into near-rigid components
Given a deforming mesh in an animation, we propose a new method to segment this mesh into several near-rigid sub-meshes. From this deforming mesh over all frames of an animation, we can analyze the degree of d...
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Chapter and Conference Paper
Joint Bayesian PET Reconstruction Algorithm Using a Quadratic Hybrid Multi-order Prior
To overcome the ill-posed problem of image reconstruction with noisy detected data in PET reconstruction, Bayesian reconstruction or maximum a posteriori (MAP) method has its superiority over others with regar...
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Chapter and Conference Paper
Bayesian Reconstruction Using a New Nonlocal MRF Prior for Count-Limited PET Transmission Scans
Transmission scans are performed to provide attenuation correction factors (ACFs) information for positron emission tomography(PET). Long acquisition or scan times for transmission tomography, although allevia...
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Chapter and Conference Paper
Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization
Brain computed tomography (CT) image based computer-aided diagnosis (CAD) system is helpful for clinical diagnosis and treatment. However it is challenging to extract significant features for analysis because ...
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Chapter and Conference Paper
Research on Gesture Definition and Electrode Placement in Pattern Recognition of Hand Gesture Action SEMG
The goal of this study is to explore the effects of electrode place-ment on the hand gesture pattern recognition performance. We have conducted experiments with surface EMG sensors using two detecting electrod...
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Chapter and Conference Paper
An Adaptive Feature Extractor for Gesture SEMG Recognition
This paper proposes an adaptive feature extraction method for pattern recognition of hand gesture action sEMG to enhance the reusability of myoelectric control. The feature extractor is based on wavelet packet...
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Chapter and Conference Paper
Dichromatic Reflection Separation from a Single Image
A feature-based technique for separating specular and diffuse components of a single image is presented. In the proposed approach, Shafer’s dichromatic reflection model is utilized, which assumed a light refle...
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Chapter and Conference Paper
Multichannel and Multimodality Person Identification
Person’s identity is a very important high level information for video analysis and retrieval. Along the growth of multimedia data, the recording is not only multimodality and also multichannel(microphone arra...
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Chapter and Conference Paper
CAN-Bus Based Distributed Control System for Hydraulic Turbine Blade Repairing Robot
A CAN-bus (Controller Area Network) based distributed control system was designed for a mobile on-site hydraulic turbine blade repairing robot (HTBRR). The system is composed of one supervisory station, seven ...
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Chapter and Conference Paper
Improved Inertial Pose Estimation Algorithms for On-Site Hydraulic Turbine Blade Repairing Robot
For pose estimation of the mobile robots repairing the hydraulic turbine blades, due to almost full pose range, there is the problem of degenerated pose matrix and singular solution of pose angles. A better ap...
