53 Result(s)
within
Computer Science
Artificial Intelligence
Computer Graphics
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing and Computer Vision
**hu Li
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Chapter and Conference Paper
A 2.5D Colon Wall Flattening Model for CT-Based Virtual Colonoscopy
Conformal map** for Computed Tomography Colonography(CTC) provides a two-dimensional (2D) representations for the original three-dimensional (3D) colon wall. Based on the flattening results of the colon, eff...
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Chapter and Conference Paper
Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction
Manifold learning performs dimensionality reduction by identifying low-dimensional structures (manifolds) embedded in a high-dim- ensional space. Many algorithms involve an eigenvector or singular value decomp...
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Chapter and Conference Paper
Local Label Descriptor for Example Based Semantic Image Labeling
In this paper we introduce the concept of local label descriptor, which is a concatenation of label histograms for each cell in a patch. Local label descriptors alleviate the label patch misalignment issue in com...
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Chapter and Conference Paper
Human Age Estimation with Surface-Based Features from MRI Images
Over the past years, many efforts have been made in the estimation of the physiological age based on the human MRI brain images. In this paper, we propose a novel regression model with surface-based features t...
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Chapter and Conference Paper
A Novel 3D Joint MGRF Framework for Precise Lung Segmentation
A new framework implemented on NVIDIA Graphics Processing Units (GPU) using CUDA for the precise segmentation of lung tissues from Computed Tomography (CT) is proposed. The CT images, Gaussian Scale Space (GSS...
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Chapter and Conference Paper
Partition Cortical Surfaces into Supervertices: Method and Application
Many problems in computer vision and biomedical image analysis benefit from representing an image as a set of superpixels or supervoxels. Inspired by this, we propose to partition a cortical surface into a col...
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Chapter and Conference Paper
Virtual Humans: Evolving with Common Sense
While the quality and robustness of animation techniques for virtual human have improved greatly over the past couple of decades, techniques for improving their intelligence have not kept pace. Ideally, agents...
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Chapter and Conference Paper
A Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matching
We propose a novel regularization model for stereo matching that uses large neighborhood windows. The model is based on the observation that in a local neighborhood there exists a linear relationship between p...
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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
(MP)2T: Multiple People Multiple Parts Tracker
We present a method for multi-target tracking that exploits the persistence in detection of object parts. While the implicit representation and detection of body parts have recently been leveraged for improved...
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Chapter and Conference Paper
Depth Recovery Using an Adaptive Color-Guided Auto-Regressive Model
This paper proposes an adaptive color-guided auto-regressive (AR) model for high quality depth recovery from low quality measurements captured by depth cameras. We formulate the depth recovery task into a mini...
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Chapter and Conference Paper
Level Set Segmentation Based on Local Gaussian Distribution Fitting
In this paper, we present a novel level set method for image segmentation. The proposed method models the local image intensities by Gaussian distributions with different means and variances. Based on the maximum...
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Chapter and Conference Paper
Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the variation in the appearance o...
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Chapter and Conference Paper
Human Action Recognition under Log-Euclidean Riemannian Metric
This paper presents a new action recognition approach based on local spatio-temporal features. The main contributions of our approach are twofold. First, a new local spatio-temporal feature is proposed to repr...
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Chapter and Conference Paper
Color Correction and Compression for Multi-view Video Using H.264 Features
Multi-view video is a new video application requiring efficient coding algorithm to compress the huge data, while the color variations among different viewpoints deteriorate the visual quality of multi-view vi...
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Chapter and Conference Paper
Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering
Tracking the left ventricular (LV) endocardial boundary and motion from cardiac magnetic resonance (MR) images is difficult because of low contrast and photometric similarities between the heart wall and papil...
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Chapter and Conference Paper
Accurate Overlap Area Detection Using a Histogram and Multiple Closest Points
In this paper, we propose a novel ICP variant that uses a histogram in conjunction with multiple closest points to detect the overlap area between range images being registered. Tentative correspondences shari...
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Chapter and Conference Paper
Robust 3D Face Recognition Based on Rejection and Adaptive Region Selection
We present an efficient 3D face recognition algorithm and demonstrate its performance on the FRGC v2.0 data set. The pose of a 3D face is automatically corrected based on the nose tip and principle component a...
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Chapter and Conference Paper
An Improved Template Matching Method for Object Detection
This paper presents an improved template matching method that combines both spatial and orientation information in a simple and effective way. The spatial information is obtained through a generalized distance...
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Chapter and Conference Paper
A Novel System for Robust Text Location and Recognition of Book Covers
Text location and recognition is a vital and fundamental problem of processing images. In this paper we propose a novel system for text location and recognition focused on book covers. Our work consists of two...
