Construction of Skin Color Map for Resolving Hand Occlusion in AR Environments

Received 8 January 2014; received in revised form 26 March 2014; accepted 8 April 2014ABSTRACTIn tangible augmented reality (AR) environments, the user interacts with virtual objects bymanipulating their physical counterparts, but he or she often encounters awkward situations inwhich his or her hands are occluded by the augmented virtual objects, which causes great diffi-culty in figuring out hand positions, and reduces both immersion and ease of interaction. Tosolve the problem of such hand occlusion, skin color information has been usefully exploited. Inthis paper, we propose an approach to simple and effective construction of a skin color mapwhich is suitable for hand segmentation and tangible AR interaction. The basic idea used hereinis to obtain hand images used in a target AR environment by simple image subtraction and torepresent their color information by a convex polygonal map in the YCbCr color space. Weexperimentally found that the convex polygonal map is more accurate in representing skin colorthan a conventional rectangular map. After implementing a solution for resolving hand occlu-sion using the proposed skin color map construction, we showed its usefulness by applying it tovirtual design evaluation of digital handheld products in a tangible AR environment.Key Words:Augmented reality interaction, Convex polygon, Hand occlusion, Image processing,Skin color map, YCbCr color space

[1]  Hyungjun Park,et al.  Tangible augmented prototyping of digital handheld products , 2009, Comput. Ind..

[2]  Hyungjun Park,et al.  Resolving Hand Region Occlusion in Tangible Augmented Reality Envrionments , 2011 .

[3]  Hyungjun Park,et al.  AR-based Tangible Interaction Using a Finger Fixture for Digital Handheld Products , 2011 .

[4]  Woohun Lee,et al.  Augmented foam: a tangible augmented reality for product design , 2005, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05).

[5]  Tobias Höllerer,et al.  Handy AR: Markerless Inspection of Augmented Reality Objects Using Fingertip Tracking , 2007, 2007 11th IEEE International Symposium on Wearable Computers.

[6]  D. W. F. van Krevelen,et al.  A Survey of Augmented Reality Technologies, Applications and Limitations , 2010, Int. J. Virtual Real..

[7]  Chengdong Wu,et al.  Hand extraction using geometric moments based on active skin color model , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[8]  Junchul Chun,et al.  Dynamic Manipulation of a Virtual Object in Marker-less AR system Based on Both Human Hands , 2010, KSII Trans. Internet Inf. Syst..

[9]  Alex Pentland,et al.  Probabilistic visual learning for object detection , 1995, Proceedings of IEEE International Conference on Computer Vision.

[10]  Hyungjun Park,et al.  Design Evaluation of Portable Electronic Products Using AR-Based Interaction and Simulation , 2008 .