56 Result(s)
within
English
Image Processing and Computer Vision
Yi**ang Chen
Conference Paper
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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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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
A Robust Fingerprint Matching Approach: Growing and Fusing of Local Structures
This paper proposed a robust fingerprint matching approach based on the growing and fusing of local structures. First, we obtain candidate of minutiae triangles, the smallest local structure in our approach; a...
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Chapter and Conference Paper
Improved Two-Level Model Averaging Techniques in Drosophila Brain Modeling
Two-level model averaging techniques have been proposed to construct the 3D reference template for the Drosophila brain. The surface-based reference template is suitable for integration of experimental data fr...
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Chapter and Conference Paper
Integrated Expression-Invariant Face Recognition with Constrained Optical Flow
Face recognition is one of the most intensively studied topics in computer vision and pattern recognition. A constrained optical flow algorithm, which combines the advantages of the unambiguous correspondence ...
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Chapter and Conference Paper
User Behavior Mining for On-Line GUI Adaptation
On-Line Graphics User Interface (GUI) Adaptation technology, which can predict and highlight user’s next operation in menu based graphics interface, is the key problem in next generation pervasive human comput...
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Chapter and Conference Paper
Enhanced Side Information Generator with Accurate Evaluations in Block-Based Wyner-Ziv Video Coding
Wyner-Ziv coding (WZC) has received a lot of attention lately. Based on the block unit for WZ-/intra-coding and the temporal distance between two consecutive key blocks, two techniques are proposed to improve ...
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Chapter and Conference Paper
An Anthropomorphic Polyvinyl Alcohol Triple-Modality Brain Phantom Based on Colin27
We propose a method for the creation of an anatomically and mechanically realistic brain phantom from polyvinyl alcohol cryogel (PVA-C) for validation of image processing methods for segmentation, reconstructi...
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Chapter and Conference Paper
Distance Metric Learning-Based Conformal Predictor
In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...
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Chapter and Conference Paper
SLAM and Navigation in Indoor Environments
In this paper, we propose a system for wheeled robot SLAM and navigation in indoor environments. An omni-directional camera and a laser range finder are the sensors to extract the point features and the line f...
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Chapter and Conference Paper
Object-Layout-Aware Image Retrieval for Personal Album Management
This demo shows a real-time object-layout-aware image retrieval system for personal album management. The query of the system is image’s object layout and the system retrieves images based on the layout simila...
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Chapter and Conference Paper
Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches
This paper proposes a displacement template structure for improving descriptor based face recognition approaches. With this template structure, a face is represented by a template consisting of a set of piled ...
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Chapter and Conference Paper
A Theoretical Analysis of Camera Response Functions in Image Deblurring
Motion deblurring is a long standing problem in computer vision and image processing. In most previous approaches, the blurred image is modeled as the convolution of a latent intensity image with a blur kernel...
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Chapter and Conference Paper
Local Clustering Conformal Predictor for Imbalanced Data Classification
The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...
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Chapter and Conference Paper
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
Background modeling and subtraction is a fundamental research topic in computer vision. Pixel-level background model uses a Gaussian mixture model (GMM) or kernel density estimation to represent the distributi...
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Chapter and Conference Paper
Towards Unified Object Detection and Semantic Segmentation
Object detection and semantic segmentation are two strongly correlated tasks, yet typically solved separately or sequentially with substantially different techniques. Motivated by the complementary effect obse...
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Chapter and Conference Paper
A Novel Dynamic Character Grou** Approach Based on the Consistency Constraints
In optical character recognition, text strings are extracted from images so that it can be edited, formatted, indexed, searched, or translated. Characters should be grouped into text strings before recognition...
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Chapter and Conference Paper
Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI
Cardiac cine MRI with 3D isotropic resolution is challenging as it requires efficient data acquisition and motion management. It is proposed to use a 2D balanced SSFP (steady-state free precession) sequence ra...
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Chapter and Conference Paper
A Stroke Width Based Parameter-Free Document Binarization Method
This paper presents a parameter-free document binarization method based on text characteristics. For a given stroke width, the text and background regions in binarized object regions are estimated with morphol...
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Chapter and Conference Paper
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning
Cerebral small vessel disease (SVD) is a common cause of ageing-associated physical and cognitive impairment. Identifying SVD is important for both clinical and research purposes but is usually dependent on ra...
