dc.creator | Luo, Xi | |
dc.date.accessioned | 2020-08-22T00:28:57Z | |
dc.date.available | 2013-04-18 | |
dc.date.issued | 2011-04-18 | |
dc.identifier.uri | https://etd.library.vanderbilt.edu/etd-04082011-152612 | |
dc.identifier.uri | http://hdl.handle.net/1803/12062 | |
dc.description.abstract | The human active visual perception is closely related to a “fixation-move-fixation” rhythm. In recent past, the scientists adopted this concept with the expectation that camera-equipped robot can interact with the environment better by altering the viewpoint of cameras rather than passively observing the environment.
In this thesis, a pair of pan-tilt cameras mounted on the ISAC humanoid robot was used to implement an active vision process along a one-dimensional search space. The software system including an object recognition sub-system was developed and was integrated with an arm control sub-system. The object recognition sub-system was designed based on color and shape detection and was implemented by using OpenCV libraries and MATLAB. Since two cameras were moving during the experiments, there was a linear mapping underlying the different combinations of angles of two sets of pan-tilt units for object localization. Several experiments were performed to evaluate system performance. | |
dc.format.mimetype | application/pdf | |
dc.subject | Robot | |
dc.subject | Object Recognition | |
dc.subject | Vision | |
dc.title | An Implementation of Object Recognition Using Binocular Vision | |
dc.type | thesis | |
dc.contributor.committeeMember | Mitchell Wilkes | |
dc.type.material | text | |
thesis.degree.name | MS | |
thesis.degree.level | thesis | |
thesis.degree.discipline | Electrical Engineering | |
thesis.degree.grantor | Vanderbilt University | |
local.embargo.terms | 2013-04-18 | |
local.embargo.lift | 2013-04-18 | |
dc.contributor.committeeChair | Kazuhiko Kawamura | |