62 Result(s)
within
English
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing and Computer Vision
**u Tao
Conference Paper
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Chapter and Conference Paper
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack of EM images into the individu...
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Chapter and Conference Paper
The CASIA Audio Emotion Recognition Method for Audio/Visual Emotion Challenge 2011
This paper introduces the CASIA audio emotion recognition method for the audio sub-challenge of Audio/Visual Emotion Challenge 2011 (AVEC2011). Two popular pattern recognition techniques, SVM and AdaBoost, are...
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Chapter and Conference Paper
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well formed clusters in just a couple of ite...
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Chapter and Conference Paper
Using Formal Concept Analysis to Visualize Relationships of Syndromes in Traditional Chinese Medicine
Computer-aided syndrome differentiation is one of most active issues in how to digitize the Traditional Chinese Medicine. The main purpose of this paper is to show the use of Formal Concept Analysis (FCA) to v...
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Chapter and Conference Paper
Feature Extraction for fMRI-Based Human Brain Activity Recognition
Mitchell et al. [9] demonstrated that support vector machines (SVM) are effective to classify the cognitive state of a human subject based on fRMI images observed over a single time interval. However, the dire...
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Chapter and Conference Paper
A Novel Visual Organization Based on Topological Perception
What are the primitives of visual perception? The early feature-analysis theory insists on it being a local-to-global process which has acted as the foundation of most computer vision applications for the past...
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Chapter and Conference Paper
Crease Detection on Noisy Meshes via Probabilistic Scale Selection
Motivated by multi-scale edge detection in images, a novel multi-scale approach is presented to detect creases on 3D meshes. In this paper, we propose a probabilistic method to select local scales in the discr...
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Chapter and Conference Paper
Clinical Usage Considerations in the Development and Evaluation of a Computer Aided Diagnosis System for Acute Intracranial Hemorrhage on Brain CT
Acute intracranial hemorrhage (AIH) is a major cause of neurological disturbance or complication of head injury. Its presence dictates different management strategy. In modern medicine, detection of AIH relies...
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Chapter and Conference Paper
Visual Focus of Attention Recognition in the Ambient Kitchen
This paper presents a model for visual focus of attention recognition in the Ambient Kitchen, a pervasive computing prototy** environment. The kitchen is equipped with several blended displays on one wall an...
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Chapter and Conference Paper
Discriminative Nonorthogonal Binary Subspace Tracking
Visual tracking is one of the central problems in computer vision. A crucial problem of tracking is how to represent the object. Traditional appearance-based trackers are using increasingly more complex featur...
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Chapter and Conference Paper
Error-Tolerant Image Compositing
Gradient-domain compositing is an essential tool in computer vision and its applications, e.g., seamless cloning, panorama stitching, shadow removal, scene completion and reshuffling. While easy to implement, ...
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Chapter and Conference Paper
A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences
Dense and markerless elastic 3D motion estimation based on stereo sequences is a challenge in computer vision. Solutions based on scene flow and 3D registration are mostly restricted to simple non-rigid motion...
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Chapter and Conference Paper
Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images
Early detection of Ground Glass Nodule (GGN) in lung Computed Tomography (CT) images is important for lung cancer prognosis. Due to its indistinct boundaries, manual detection and segmentation of GGN is labor-...
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Chapter and Conference Paper
Context-Aware Online Commercial Intention Detection
With more and more commercial activities moving onto the Internet, people tend to purchase what they need through Internet or conduct some online research before the actual transactions happen. For many Web us...
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Chapter and Conference Paper
Research on Design Method and Application of FPGA-Based Motion Control
A novel approach for development of FPGA-based motion control system in MATLAB/Simulink environments was proposed. The specialized software tools System Generator in Matlab/Simulink environments, related desig...
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Chapter and Conference Paper
Occlusion Handling in Augmented Reality System for Human-Assisted Assembly Task
Augmented reality (AR) based human-machine interaction (HMI) provided a seamless interface between user and application environment, but occlusion handing remained as a tough problem in AR applications. Recent...
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Chapter and Conference Paper
Kinematics Constrained Toolpath Planning for Five-Axis Machines
This paper presents a new general toolpath planning method which considers two important types of constraints: the kinematics constraint and the geometric feature constraints. The contact kinematics theory for...
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Chapter and Conference Paper
A Multi-layered Interaction Architecture for Elderly Companion Robot
This paper presents a multi-layered interaction architecture for elderly companion robot which has the functions of conversation, emotional reaction, musical enrichments and monitoring. It has a three-layer co...
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Chapter and Conference Paper
Ground Control Station Development for Autonomous UAV
Unmanned Aerial Vehicle (UAV) has typically been used in civil and military field all over the world. Based on the UAV mission of autonomous flight, the ground control station (GCS) including hardware and soft...
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Chapter and Conference Paper
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown viewpoint and pose. This pap...
