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https://hdl.handle.net/10356/58099
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yang, Qianwen | en_US |
dc.date.accessioned | 2014-04-07T12:14:28Z | - |
dc.date.available | 2014-04-07T12:14:28Z | - |
dc.date.copyright | 2011 | en_US |
dc.date.issued | 2011 | - |
dc.identifier.uri | http://hdl.handle.net/10356/58099 | - |
dc.description | 83 p. | en_US |
dc.description.abstract | This thesis described an image matching module, which was designed to determine location for mobile robot. GIST, it is defined as a global feature. With a mere glance at a complex picture, an observer can seize the clutter and the variety of details. GIST can be used for this module as well. In this thesis, we brought in and validated a simple background based scene recognition algorithm for mobile robotics applications. This model can distinguish key frames from a series of input images; it can also capture the high-dimensional 'GIST' code of the scene into a low-dimensional vector. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics | en_US |
dc.title | Autonomous robot localization with GIST method | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Wang Han | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Science (Computer Control and Automation) | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
EEE THESES_36.pdf Restricted Access | 8.36 MB | Adobe PDF | View/Open |
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