Performance evaluation of local features for object discovery
| dc.contributor.author | Bhikadiya, Jatin V., author | |
| dc.contributor.author | Draper, Bruce A., advisor | |
| dc.contributor.author | Beveridge, Ross J., advisor | |
| dc.contributor.author | Bates, Daniel J., committee member | |
| dc.date.accessioned | 2015-08-27T03:57:25Z | |
| dc.date.available | 2015-08-27T03:57:25Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Object recognition is one of the most challenging tasks in computer vision. A common approach in recognizing an object begins by detecting local features in image using a feature detector and describing detected features in terms of feature vectors using a feature descriptor. Many local feature detectors and feature descriptors have been proposed in literature. This work evaluates performance of two successful feature detectors and five feature descriptors on three datasets with unique characteristics. Based on the information content in a given dataset we find general trends on the performance of local features. Our findings will guild computer vision practitioners selecting between alternative local feature detector and local feature descriptor to design highly accurate recognition systems. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Bhikadiya_colostate_0053N_12991.pdf | |
| dc.identifier.uri | http://hdl.handle.net/10217/167024 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | feature descriptors | |
| dc.subject | object recognition | |
| dc.subject | bag of features | |
| dc.subject | performance evaluation | |
| dc.subject | feature detectors | |
| dc.title | Performance evaluation of local features for object discovery | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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