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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
161

Hand-written Chinese character recognition by first and second order Hidden Markov Models and radical modeling

Wong, Ho-ting., 黃浩霆. January 2003 (has links)
published_or_final_version / abstract / toc / Computer Science and Information Systems / Master / Master of Philosophy
162

Pattern recognition for automated die bonding

曾昭明, Tsang, Chiu-ming. January 1982 (has links)
published_or_final_version / Electrical Engineering / Master / Master of Philosophy
163

Matching patterns of line segments by affine-invariant area features

陳浩邦, Chan, Hau-bang, Bernard. January 2002 (has links)
published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy
164

Dimensionality reduction in the recognition of patterns for electric power systems

Fok, Danny Sik-Kwan. January 1981 (has links)
No description available.
165

A method for human identification using static, activity-specific parameters

Johnson, Amos Y., Jr. 05 1900 (has links)
No description available.
166

Surface extraction from coordinate measurement data to facilitate dimensional inspection

Lloyd, Timothy Brian 05 1900 (has links)
No description available.
167

Vision-based recognition of actions using context

Moore, Darnell Janssen 05 1900 (has links)
No description available.
168

High speed target tracking using Kalman filter and partial window imaging

Hawkins, Mikhel E. 05 1900 (has links)
No description available.
169

An experimental investigation on dynamic vision guided pick-up of moving objects

Downs, James Douglas 08 1900 (has links)
No description available.
170

Selection and extraction of local geometric features for two dimensional model-based object recognition

Ditzenberger, David A. January 1992 (has links)
A topic of computer vision that has been recently studied by a substantial number of scientists is the recognition of objects in digitized gray scale images. The primary goal of model-based object recognition research is the efficient and precise matching of features extracted from sensory data with the corresponding features in an object model database. A source of difficulty during the feature extraction is the determination and representation of pertinent attributes from the sensory data of the objects in the image. In addition, features which are visible from a single vantage point are not usually adequate for the unique identification of an object and its orientation. This paper will describe a regimen that can be used to address these problems. Image preprocessing such as edge detection, image thinning, thresholding, etc., will first be addressed. This will be followed by an in depth discussion that will center upon the extraction of local geometric feature vectors and the hypothesis-verification model used for two dimensional object recognition. / Department of Computer Science

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