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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.
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Showing 201 to 210 of 2838 (0.041 seconds)Spelling suggestions: "subject:"[een] COMPUTER VISION"" "subject:"[enn] COMPUTER VISION""
| 201 |
A region merging methodology for color and texture image segmentationTan, Zhigang, 譚志剛 January 2009 (has links)
published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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| 202 |
An embedded augmented reality systemGroufsky, Michael Edward January 2011 (has links)
This report describes an embedded system designed to support the development of embedded augmented reality applications.
It includes an integrated camera and built-in graphics acceleration hardware.
An example augmented reality application serves as a demonstration of how these features are accessed, as well as providing an indication of the performance of the device.
The embedded augmented reality development platform consists of the Gumstix Overo computer-on-module paired with the custom-built Overocam camera board.
This device offers an ARM Cortex-A8 CPU running at 600 MHZ and 256 MB of RAM, along with the ability to capture VGA video at 30 frames per second.
The device runs an operating system based on version 2.6.33 of the Linux kernel.
The main feature of the device is the OMAP3530 multimedia applications processor from Texas Instruments.
In addition to the ARM CPU, it provides an on-board 2D/3D graphics accelerator and a digital signal processor.
It also includes a built-in camera peripheral interface, reducing the complexity of the camera board design.
A working example of an augmented reality application is included as a demonstration of the device's capabilities.
The application was designed to represent a basic augmented reality task: tracking a single marker and rendering a simple virtual object.
It runs at around 8 frames per second when a marker is visible and 13 frames per second otherwise.
The result of the project is a self-contained computing platform for vision-based augmented reality.
It may either be used as-is or customised with additional hardware peripherals, depending on the requirements of the developer.
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| 203 |
Vision based autonomous road followingGibbs, Francis William John January 1996 (has links)
No description available.
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| 204 |
Linear methods for camera motion recoveryLawn, Jonathan Marcus January 1995 (has links)
No description available.
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| 205 |
Artificial intelligence techniques and concepts for integrating a robot vision system with a solid modellerTabandeh, Amir S. January 1988 (has links)
No description available.
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| 206 |
Automated interpretation of complex line figuresCanham, Richard O. January 2001 (has links)
No description available.
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| 207 |
On the object detecting artificial retinaWilson, James George January 2001 (has links)
No description available.
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| 208 |
Applications of machine vision to cloud studies using stereoscopic satellite imagesShin, Dong Seok January 1995 (has links)
No description available.
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| 209 |
The extraction and quantification of bilateral symmetry in two dimensional data setsWalsh, David Sidney January 1998 (has links)
No description available.
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| 210 |
Visual collision avoidanceMatthews, Neil David January 1999 (has links)
No description available.
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