Non-invasive 3D object size measurement system

dc.contributor.advisorAgaian, Sos
dc.contributor.authorMaute, Chris
dc.contributor.committeeMemberAkopian, David
dc.contributor.committeeMemberGrigoryan, Artyom
dc.descriptionThis item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.
dc.description.abstractA point cloud is a 3D representation of the shape of an object. Methods of scanning objects in order to create a point cloud are numerous. We use an effective and inexpensive method called ``structured light'' which utilizes one camera and one projector. The structured light scheme we use is Gray code combined with phase scanning. This scheme utilizes a technique called phase measuring profilometry to reconstruct a high resolution point cloud. Once the point cloud is created, geometric calculations can be performed on the scanned object. We attempt to use point clouds to determine the volume of objects using point clouds that represent only one face of the objects. We achieve this by representing the object as a series of 2D slices and fitting the points of each slice to an circle in order to estimate the area of each slice. We demonstrate the effectiveness of this algorithm by scanning various food items and comparing them to their true volumes. We suggest ways to improve the current algorithm along different approaches to the problem.
dc.description.departmentElectrical and Computer Engineering
dc.format.extent126 pages
dc.subject3D vision
dc.subjectcomputer vision
dc.subjectstructured light
dc.subjectvolume estimation
dc.subject.classificationElectrical engineering
dc.subject.classificationComputer science
dc.titleNon-invasive 3D object size measurement system
dcterms.accessRightspq_closed and Computer Engineering of Texas at San Antonio of Science


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