9,805 Result(s)
within
Chapter
**-** Wang
Image Processing and Computer Vision
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Chapter and Conference Paper
The Feature Locating for Fingerprint Recognition
The feature locating in fingerprint image is to determine a reference coordinate in which the positions of minutiae may be fixed up, depending on the textures of the core of the print. The coordinates must be ...
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Chapter and Conference Paper
Model Based Fast Recognition of the Structure of Industrial Workpieces
The paper taking an example of recognizing a triangular structure from the images of a kind of industrial workpieces, introduces some procedures for edge detection, line extraction, model matching and object r...
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Chapter
Dishabituation Hierarchies for Visual Pattern Discrimination in Toads: A Dialog between Modeling and Experimentation
Toads exhibit stimulus- and locus-specific habituation. Instead of mutual dishabituation for different worm-like stimuli, toads exhibit a dishabituation hierarchy. In modeling the dishabituation hierarchy, we ...
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Chapter and Conference Paper
Three-dimensional sequential/parallel universal array grammars and object pattern analysis
We introduce a sequential/parallel parsing algorithm for analyzing 3-dimensional objects represented by 3-d array grammars. The mechanism serves as a compromise between purely sequential methods which take too...
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Chapter and Conference Paper
Neural model for pattern recognition
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Chapter and Conference Paper
Intelligent pattern recognition and applications
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Chapter and Conference Paper
A parallel implementation of a structure-from-motion algorithm
This paper describes the implementation of a 3D vision algorithm, Droid, on the Oxford parallel vision architecture, PARADOX, and the results of experiments to gauge the algorithm's effectiveness in providing ...
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Chapter and Conference Paper
A Matching and Tracking Strategy for Independently Moving Objects
We present a robust and inherently parallel strategy for tracking “corner” features on independently moving (and possibly non-rigid) objects. The system operates over long, monocular image sequences and compri...
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Chapter and Conference Paper
Non-greedy adaptive vector quantizers
Kohonen's Learning Vector Quantization (LVQ) technique easily gets trapped in local minima of the distortion surface, resulting suboptimal vector quantizers. The reason is that the behavior of competitive lear...
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Chapter and Conference Paper
Automatic generation of C++ code for neural network simulation
Coding neural network simulators by hand is often a tedious and error-prone task. In this paper, we seek to remedy this situation by presenting a code generator that produces efficient C++ simulation code for ...
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Chapter and Conference Paper
High-performance tracking system
In this paper, we describe how reliable SSD feature selection, feature tracking and feature monitoring can be realized and interleaved into a high-performance system with no special-purpose hardware. We consid...
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Chapter and Conference Paper
A synthesized computer recognition system for human hands
A computer recognition system for human hands is presented in this paper. The system is based on infrared images. A multi-grid normalization technique is developed to normalize the position of the hand and fin...
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Chapter and Conference Paper
Independent hand gesture recognition in HandTalker
HandTalker is a system we designed for enhanced user interface which allows user to communicate with computers or through computer network with others by hand gesture. One of the application cases of HandTalke...
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Chapter
Parallelizing Vision Computations on CM-5: Algorithms and Experiences
This chapter summarizes our work in using Connection Machine CM-5 for vision. We define a realistic model of CM-5 in which explicit cost is associated with data routing and cooperative operations. Using this m...
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Chapter and Conference Paper
Recognition of 3D objects from 2D images — Some issues
This paper presents a simple methods for visualizing, understanding, interpreting, and recognizing 3D objects from 2D images. It extended the linear combination methods, uses parallel pattern matching and can ...
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Chapter and Conference Paper
Active vision based stereo vision
In this paper, a new stereo method is introduced which, unlike to the traditional ones, does not involve image points correspondence. By controlling a pan-tilt-translation camera platform to move along an axis...
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Chapter and Conference Paper
Signal decomposition with multiscale learning algorithms
In this paper, neural networks based on orthonormal wavelets are constructed to decompose signals into full scale space. Two algorithms, the global multiscale learning (GML) and the pyramid multiscale learning (P...
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Chapter and Conference Paper
Cluster Monte Carlo algorithms and their applications
We introduce the Markov chain Monte Carlo method and review the background of the cluster algorithms in statistical physics. One of the first such successful algorithm was developed by Swendsen and Wang eight ...
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Chapter and Conference Paper
GI tract unraveling in volumetric CT
Gastrointestinal (GI) tract examination with computed tomography (CT) is currently performed by slice-based visual inspection despite the volumetric nature of the problem. The entire abdomen may now be continu...
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Chapter and Conference Paper
A unified framework for image-derived invariants
We propose a general framework for computing invariant features from images. The proposed approach is based on a simple concept of basis expansion. It is widely applicable to many popular basis representations...
