Abstract/Details

Color detection and three-dimensional reconstruction for hand pose estimation as part of an HCI system


2006 2006

Other formats: Order a copy

Abstract (summary)

The main focus of this thesis is to give a detailed description of techniques and methodology implemented for feature extraction and three-dimensional reconstruction. The algorithms were developed as part of a project whose main object is the graphical three-dimensional modeling of the gestures of a human hand. The project itself comprises several steps, namely, camera calibration, hand feature extraction, three-dimensional reconstruction, and computer graphics modeling of the hand. Experimental results of the feature extraction and three-dimensional reconstruction will also be presented.

Indexing (details)


Subject
Computer science
Classification
0984: Computer science
Identifier / keyword
Applied sciences
Title
Color detection and three-dimensional reconstruction for hand pose estimation as part of an HCI system
Author
Teruel, Maria Beatriz
Number of pages
83
Publication year
2006
Degree date
2006
School code
0506
Source
MAI 45/01M, Masters Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780542799297
Advisor
Yfantis, Evangelos A.
University/institution
University of Nevada, Las Vegas
University location
United States -- Nevada
Degree
M.S.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
1436800
ProQuest document ID
304958963
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304958963
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.