Title:
3D Reconstruction Of the Human Torso From Four Orthogonal Model Views Captured Using a Stationary RGB-D Camera

dc.contributor.author Attia, Shehab
dc.contributor.committeeMember Gleason, Rudolph L.
dc.contributor.committeeMember Dixon, Brandon
dc.contributor.department Biomedical Engineering (Joint GT/Emory Department)
dc.date.accessioned 2019-05-30T16:23:59Z
dc.date.available 2019-05-30T16:23:59Z
dc.date.created 2019-05
dc.date.issued 2019-05
dc.date.submitted May 2019
dc.date.updated 2019-05-30T16:23:59Z
dc.description.abstract Digital 3D models of the human body can be used to measure anthropometric features to diagnose diseases. Circumference measurements of body parts can only be obtained from 360-degree spin 3D models. These type of models are created using a combination of scanning hardware and stitching software. Current stitching techniques use an Iterative Closest Point algorithm on manually or automatically generated registration landmarks, provided that there is a rotation angle difference of 60 degrees or less between adjacent frames for sufficiently matching features. This paper proposes a method to stitch four orthogonal (90-degree) views captured using one Kinect camera by iteratively translating and rotating adjacent frames to minimize the Root Mean Square Error between the contours of the torso in 2D planes. Future work will involve mending holes in the stitched models and solving the shear transformation to improve results on non-rigid bodies.
dc.description.degree Undergraduate
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/61396
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject 3D Reconstruction
dc.subject Kinect
dc.subject RGB-D
dc.subject Stitching
dc.subject Contouring
dc.subject Point Clouds
dc.subject 3D
dc.title 3D Reconstruction Of the Human Torso From Four Orthogonal Model Views Captured Using a Stationary RGB-D Camera
dc.type Text
dc.type.genre Undergraduate Thesis
dspace.entity.type Publication
local.contributor.corporatename Wallace H. Coulter Department of Biomedical Engineering
local.contributor.corporatename Undergraduate Research Opportunities Program
local.contributor.corporatename College of Engineering
local.relation.ispartofseries Undergraduate Research Option Theses
relation.isOrgUnitOfPublication da59be3c-3d0a-41da-91b9-ebe2ecc83b66
relation.isOrgUnitOfPublication 0db885f5-939b-4de1-807b-f2ec73714200
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isSeriesOfPublication e1a827bd-cf25-4b83-ba24-70848b7036ac
thesis.degree.level Undergraduate
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ATTIA-UNDERGRADUATERESEARCHOPTIONTHESIS-2019.pdf
Size:
265.61 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
3.86 KB
Format:
Plain Text
Description: