IJERT-EMS
IJERT-EMS

Hand Gesture Recognition using SIFT


Hand Gesture Recognition using SIFT
Authors : S. Pandita, S. P. Narote
Publication Date: 30-01-2013

Authors

Author(s):  S. Pandita, S. P. Narote

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 1 (January - 2013)

e-ISSN:   2278-0181

Abstract

Gesture refers to expressive movement of human body parts having a particular message to be communicated to a receiver. Gesture recognition pertains to understanding meaning of human body part movement,which involves the movement of hand, face, head, arms or body .Today°«s world is witnessing enormous improvements in processing speeds and visualization displays, but still input devices for the most part have lagged behind, presenting a bottleneck in applications. Gesture recognition is very important in designing an efficient HCI. This paper presents a method for recognizing hand gestures by extracting distinctive invariant features fromimages that can be used to perform efficient matching between different views ofa hand gesture. The features are invariant to image scale and rotation, and provide robust matching across a considerable range of affine distortion,change in 3D viewpoint, addition of noise, and change in illumination [1].

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     1189
Similar-Paper

7   Paper(s) Found related to your topic:    

Call for Papers - May - 2017

        

 

                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book