176 Result(s)
within
English
Artificial Intelligence
Image Processing and Computer Vision
**ao-**g **a
Chapter
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Chapter and Conference Paper
Indexicality and dynamic attention control in qualitative recognition of assembly actions
Visual recognition of physical actions requires temporal segmentation and identification of action types. Action concepts are analyzed into attention, context, and change. Temporal segmentation is defined as a...
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Chapter and Conference Paper
Histogram-based image registration for digital subtraction angiography
A generalized framework for histogram-based similarity measures is presented and applied to the image-enhancement task in digital subtraction angiography (DSA). The class of differentiable, strictly convex wei...
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Chapter and Conference Paper
A brain-like approach to multistage hierarchical image processing
Multistage integration of visual information in the brain allows people to respond quickly to most significant stimuli while preserving the ability to recognize small details in the image. Implementation of th...
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Chapter and Conference Paper
Algebraic view of grammatical inference
We consider the problem of grammatical inference (GI) for classes of structured documents like summaries, dictionaries, bibliographic data basis, encyclopaedias and so on. The inference is based on examples of...
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Chapter and Conference Paper
View-based adaptive affine tracking
We propose a model for view-based adaptive affine tracking of moving objects. We avoid the need for feature-based matching in establishing correspondences through learning landmarks. We use an effective bootst...
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Chapter and Conference Paper
Visualization and evaluation of prostate needle biopsy
Three-dimensional (3-D) computer visualization is playing an increasingly important role in mcdical imaging applications. Visualization is helpful and important because it provides more flexibility for medical...
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Chapter and Conference Paper
Bayesian Approach to Mixture Models for Discrimination
This paper develops a Bayesian mixture model approach to discrimination. The specific problem considered is the classification of mobile targets, from Inverse Synthetic Aperture Radar images. However, the algo...
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Chapter and Conference Paper
A Transformation-Based Mechanism for Face Recognition
This paper proposes a novel mechanism to seamlessly integrate face detection and face recognition. After extracting a human face x from an input image, not only x but also its various kinds of transformations ...
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Chapter and Conference Paper
Design of Walking Gaits for Tao-Pie-Pie, a Small Humanoid Robot
This paper describes the methodology that we used to design and implement balancing and walking gaits for Tao-Pie-Pie, a small 30cm tall humanoid robot. Tao-Pie-Pie is a fully autonomous robot with all power, sen...
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Chapter and Conference Paper
MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points
We investigate the automated reconstruction of piecewise smooth 3D curves, using subdivision curves as a simple but flexible curve representation. This representation allows tagging corners to model non-smooth...
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Chapter and Conference Paper
Stereo Based 3D Tracking and Scene Learning, Employing Particle Filtering within EM
We present a generative probabilistic model for 3D scenes with stereo views. With this model, we track an object in 3 dimensions while simultaneously learning its appearance and the appearance of the backgroun...
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Chapter and Conference Paper
Learning People Movement Model from Multiple Cameras for Behaviour Recognition
In surveillance systems for monitoring people behaviours, it is important to build systems that can adapt to the signatures of people’s tasks and movements in the environment. At the same time, it is important...
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Chapter and Conference Paper
An Electronic Secure Voting System Based on Automatic Paper Ballot Reading
A secret and secure ballot is the core of every democracy. We all feel proud of being able to decide the future of our countries by making appropriate use of our right to vote in an election. However, how can ...
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Chapter and Conference Paper
Automatic Classification of SPECT Images of Alzheimer’s Disease Patients and Control Subjects
In this article we study the use of SPECT perfusion imaging for the diagnosis of Alzheimer’s disease. We present a classifier based approach that does not need any explicit knowledge about the pathology. We di...
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Chapter and Conference Paper
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to object recognition models and...
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Chapter and Conference Paper
A Fast Algorithm to Find All the Maximal Frequent Sequences in a Text
One of the sequential pattern mining problems is to find the maximal frequent sequences in a database with a β support. In this paper, we propose a new algorithm to find all the maximal frequent sequences in a te...
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Chapter and Conference Paper
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the relative simplicity of small baseline t...
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Chapter and Conference Paper
The Use of Gyroscope Feedback in the Control of the Walking Gaits for a Small Humanoid Robot
This paper describes methods used in stabilizing the walking gait of Tao-Pie-Pie, a small humanoid robot given rate feedback from two RC gyroscopes. Tao-Pie-Pie is a fully autonomous small humanoid robot (30cm ta...
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Chapter and Conference Paper
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixture of Kalman filters, where each...
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Chapter and Conference Paper
A New Method for SPECT Quantification of Targeted Radiotracers Uptake in the Myocardium
We developed a new method for absolute quantification of targeted radiotracers uptake in the myocardium using hybrid SPECT/CT and an external reference point source. A segmentation algorithm based on the level...
