Master of Science (MS)
First Committee Member
Evangelos A. Yfantis
Number of Pages
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.
Color; Detection; Dimensional; Estimation; Hand; Part; Pose; Reconstruction; Systems; Three
University of Nevada, Las Vegas
If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to firstname.lastname@example.org and include clear identification of the work, preferably with URL.
Teruel, Maria Beatriz, "Color detection and three-dimensional reconstruction for hand pose estimation as part of an Hci system" (2006). UNLV Retrospective Theses & Dissertations. 1987.