Detection of Self Intersection in Synthetic Hand Pose Generators

Das, Shome Subhra (2017) Detection of Self Intersection in Synthetic Hand Pose Generators. In: 15th IAPR International Conference on Machine Vision Applications (MVA), MAY 08-12, 2017, Nagoya Univ, Nagoya, JAPAN, pp. 354-357.

PDF Pro_Fif_IAPR_Int_Con_Mac_Vis_App_MVA2017.pdf - Published Version Restricted to Registered users only Download (3MB) | Request a copy

Abstract

Synthetic hand pose data has been frequently used in vision based hand gesture recognition. However existing synthetic hand pose generators are not able to detect intersection between various hand parts and can synthesize self intersecting poses. Using such data may lead to learning wrong models. We propose a method to eliminate self intersecting synthetic hand poses by accurately detecting intersections between various hand parts. We model each hand part as a convex hull and calculate pairwise distance between the parts, labeling any pair with a negative distance as intersecting. A hand pose with at least one pair of intersecting parts is labeled as self intersecting. We show experimentally that our method is very accurate and performs better than existing techniques. We also show that it is fast enough for offline data generation.

Item Type:	Conference Paper
Additional Information:	Copyright for this article is belongs to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	02 Apr 2018 19:57
Last Modified:	02 Apr 2018 19:57
URI:	http://eprints.iisc.ac.in/id/eprint/59496

Actions (login required)

View Item