178 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
Pattern Recognition
Zhuo** **e
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Chapter and Conference Paper
A Improved Facial Expression Recognition Method
We proposed a novel facial expression recognition algorithm based on Independent Component Analysis (ICA) and Linear Discriminant Analysis (LDA). ICA produced a set of independent basis images of expression im...
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Chapter and Conference Paper
Parsing Images into Region and Curve Processes
Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image segmentation work assume, some other pat...
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Chapter and Conference Paper
A Palmprint Acquisition Device with Time-Sharing Light Source Used in Personal Verification
This paper proposes a hardware-based line feature enhancement approach that uses a palmprint acquisition device fitted with a time-sharing light source. When capturing images, two lamps of the light source can...
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Chapter and Conference Paper
Shape Matching and Recognition – Using Generative Models and Informative Features
We present an algorithm for shape matching and recognition based on a generative model for how one shape can be generated by the other. This generative model allows for a class of transformations, such as affi...
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Chapter and Conference Paper
Comparison of Complexity and Regularity of ERP Recordings Between Single and Dual Tasks Using Sample Entropy Algorithm
The purpose of this study is to investigate the application of sample entropy (SampEn) measures to electrophysiological studies of single and dual tasking performance. The complexity of short-duration (~s) epo...
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Chapter and Conference Paper
Modifying Spectral Envelope to Synthetically Adjust Voice Quality and Articulation Parameters for Emotional Speech Synthesis
Both of the prosody and spectral features are important for emotional speech synthesis. Besides prosody effects, voice quality and articulation parameters are the factors that should be considered to modify in...
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Chapter and Conference Paper
Robust and Fast Assessment of Iris Image Quality
Iris recognition is one of the most reliable methods for personal identification. However, not all the iris images obtained from the device are of high quality and suitable for recognition. In this paper, a no...
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Article
Image Parsing: Unifying Segmentation, Detection, and Recognition
In this paper we present a Bayesian framework for parsing images into their constituent visual patterns. The parsing algorithm optimizes the posterior probability and outputs a scene representation as a “parsi...
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Chapter and Conference Paper
A Novel Boundary Extension Approach for Empirical Mode Decomposition
The Empirical Mode Decomposition (EMD) proposed by Huang et al. in 1998 shows remarkably effective in analyzing nonlinear signals. However, the boundary extension is one of the theoretical problems unsolved in...
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Chapter and Conference Paper
A Learning Based Approach for 3D Segmentation and Colon Detagging
Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segmentation, and we show its application on c...
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Chapter and Conference Paper
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules such as the mean curvature prop...
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Chapter and Conference Paper
Partial Predicate Argument Structure Matching for Entailment Determination
The Computational Linguistics at Concordia laboratory system for textual entailment determination is based on shallow, partial predicate-argument structure matching combined with a WordNet-based lexical simila...
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Chapter
Image Parsing: Unifying Segmentation, Detection, and Recognition
In this chapter we present a Bayesian framework for parsing images into their constituent visual patterns. The parsing algorithm optimizes the posterior probability and outputs a scene representation as a “par...
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Article
Parsing Images into Regions, Curves, and Curve Groups
In this paper, we present an algorithm for parsing natural images into middle level vision representations—regions, curves, and curve groups (parallel curves and trees). This algorithm is targeted for an integ...
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Chapter and Conference Paper
Requirement Specification Based on Action Model Learning
To solve a problem with intelligent planning, an expert has to try his best to write a planning domain. It is hard and time-wasting. Considering software requirement as a problem to be solved by intelligent pl...
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Chapter and Conference Paper
Joint Sulci Detection Using Graphical Models and Boosted Priors
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major sulci and their Markovian re...
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Chapter and Conference Paper
Nonlinear Iris Deformation Correction Based on Gaussian Model
Current iris recognition systems can achieve high level of success under restricted conditions, while they still face challenges of utilizing images with heavy deformation caused by illumination variations. De...
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Chapter and Conference Paper
A Page Content Independent Book Dewar** Method to Handle 2D Images Captured by a Digital Camera
In this paper, we propose a coordinate transform model to rectify both the perspective and surface curving distortions of a book image, which is captured by a 2D digital camera. The rectification process inclu...
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Chapter and Conference Paper
Towards Whole Brain Segmentation by a Hybrid Model
Segmenting cortical and sub-cortical structures from 3D brain images is of significant practical importance. However, various anatomical structures have similar intensity patterns in MRI, and the automatic seg...
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Chapter and Conference Paper
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm
We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the image. This representation allows each ...
