| dc.contributor.author | Stone, Erik E. | eng |
| dc.contributor.corporatename | University of Missouri-Columbia. Office of Undergraduate Research | eng |
| dc.contributor.meetingname | Undergraduate Research and Creative Achievements Forum (2006 : University of Missouri--Columbia) | eng |
| dc.date | 2006 | eng |
| dc.date.issued | 2006 | eng |
| dc.description | Abstract only available | eng |
| dc.description.abstract | In this project, we explored using the Scale Invariant Feature Transform to build three dimensional point clouds for object recognition. To create the point clouds, an object is placed on a lazy susan and pictures are taken at 15 degree increments using a single web camera. The Scale Invariant Feature Transform is then used to match keypoints between images, and a position in three dimensional space is calculated. The SIFT keypoints comprising the point cloud model of the object can then be added to a database for matching. | eng |
| dc.description.sponsorship | College of Engineering Honors Undergraduate Research Option | eng |
| dc.identifier.uri | http://hdl.handle.net/10355/1514 | eng |
| dc.language | English | eng |
| dc.publisher | University of Missouri - Columbia Office of Undergraduate Research | eng |
| dc.relation.ispartofcommunity | University of Missouri-Columbia. Office of Undergraduate Research. Undergraduate Research and Creative Achievements Forum | eng |
| dc.source.uri | http://undergradresearch.missouri.edu/forums-conferences/abstracts/abstract-detail.php?abstractid= | eng |
| dc.subject | Scale Invariant Feature Transform (SIFT) | eng |
| dc.subject | web camera | eng |
| dc.subject | three dimensional space | eng |
| dc.title | Building 3D SIFT point clouds for object recoginition [abstract] | eng |
| dc.type | Presentation | eng |
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