Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 9325 for “"recognition"”.
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Face Recognition and Expression Recognition using Morphable Models
… VARIATIONS, IS USED TO PERFORM FACE IDENTITY RECOGNITION. TO ACCOUNT FOR EXPRESSION-RELATED INTRA-FACE VARIATIONS, INTRA-FACE-MODEL (INTRA-FACE) IS CREATED USING EXPRESSIVE FACES FOR EVERY SUBJECT IN THE DATABASE. WITH THE USE OF THE INTER-FACE AND INTRA-FACE MODEL, WE SHOW THAT A SUCCESS RATE …
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Dynamic gesture recognition using transformation invariant hand shape recognition
… is presented for accurate real time gesture recognition. Our approach to develop a hand-shape classifier, trained using computer animation, along with its application in dynamic gesture recognition is described. The system developed operates in real time and provides accurate gesture …
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Image recognition using the Eigenpicture Technique (with specific applications in face recognition and optical character recognition)
In the first part of this dissertation, we present a detailed description of the eigenface technique first proposed by Sirovich and Kirby and subsequently developed by several groups, most notably the Media Lab at MIT. Other significant contributions have been made by Rockefeller University, whose …
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Recognition of aerospace acoustic sources using advanced pattern recognition techniques
An acoustic pattern recognition system has been developed to identify aerospace acoustic sources. The system is capable of classifying five different types of air and ground sources: jets, propeller planes, helicopters, trains, and wind turbines. The system consists of one microphone for data …
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Recognition without recollection
… perceptually impoverished conditions, and b) recognition of the words as having been previously presented. In Experiment 1, distributing a two-second study duration between two one-second or four-second presentations as opposed to concentrating it into a single two-second presentation was …
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Optical Graph Recognition
… In this thesis we introduce Optical Graph Recognition. Optical Graph Recognition (OGR) reverses Graph Drawing and transforms a digital image of a graph into an abstract representation. Our approach consists of four phases: Preprocessing where we determine which pixels of an image are part …
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Handgrip pattern recognition
… fired by the authorized user. Handgrip pattern recognition holds great promise in the development of the smart gun. Two algorithms, static analysis algorithm and dynamic analysis algorithm, were developed to find the patterns of a person about how to grasp a handgun. The static analysis …
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Road sign recognition
A method for recognizing road signs in street scene images is proposed. We first developed a fast region growing segmentation method, combined with a 1NN smoothing filter, to work on color and produce robust segmentation results even when the image is noisy. An effective color distance measurement …
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Computer Sketch Recognition
… demonstrate that the accuracy of existing sketch recognition techniques can be improved by optimizing the classification criteria. Current techniques classify a 20,000 sketch crowd-sourced dataset with 56% accuracy. I classify the same dataset with 52% accuracy, but identify factors that have the …
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Ship target recognition
… the low resolution non-cooperative ship target recognition problem. Three very different neural architectures are investigated and compared, namely; the Feedforward Network with Back-propagation, Kohonen's Supervised Learning Vector Quantization Network, and Simpson's Fuzzy Min-Max neural …
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Statistical object recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
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Automated text recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
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Polyhedra:representation and recognition
… useful in geometric modelling and machine recognition. We prove that the representation uniquely represents genus 0 polyhedra. We show by,example that our representation is not a strict dual of the vertex connectivity graph, and hence is not necessarily ambiguous. However, we have not been …
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Automatic Dialect and Accent Recognition and its Application to Speech Recognition
… can be employed to improve Automatic Speech Recognition (ASR). In this thesis, we describe a variety of approaches that make use of multiple streams of information in the acoustic signal to build a system that recognizes the regional dialect and accent of a speaker. In particular, we examine …
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Speech Recognition under Stress
… Illinois University- Carbondale. TITLE: SPEECH RECOGNITION UNDER STRESS MAJOR PROFESSOR: Dr. Nazeih M. Botros In this dissertation, three techniques, Dynamic Time Warping (DTW), Hidden Markov Models (HMM), and Hidden Control Neural Network (HCNN) are utilized to realize talker-independent …
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Water: Experience, Recognition, Conversance
… photographic work entitled, Water: Experience, Recognition, Conversance, is the culmination of the artist’s life-long interest in the natural environment. The title also infers a chronological description of how interest in the subject evolved as well as how this document and the exhibition has …
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Emotion Recognition and Aging
… Specifically, research suggests that emotion recognition is just one of the many cognitive abilities that decreases as part of the healthy aging process. This paper summarizes the cognitive decline that accompanies aging, details evidence for the frontal lobe theory of cognitive decline, …
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Chinese license plate recognition
In recent years, the license plate recognition becomes more and more important in the intelligent transportation. The thesis promoted two different methods to deal with the Chinese license plate. The one is based on traditional image recognition. The other one is based on deep learning.
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Dynamic fuzzy pattern recognition
Dynamic pattern recognition is concerned with the recognition of clusters of dynamic objects, i.e. recognition of typical states in the dynamic behaviour of a system under consideration. The goal of this thesis is to investigate this new field of dynamic pattern recognition and to develop new …
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