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Augmented Reality X-Ray Vision with Gesture Interaction


Affiliations
1 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India
 

Augmented reality is a new technology which is capable of presenting possibilities that are difficult for other technologies to offer and meet. AR will really alter the way individuals view the world. Augmented reality X-Ray Vision is an emerging concept. While AR deals with virtual and real objects coexisting in the same space, AR X-Ray Vision is a subdivision of the broad spectrum of AR, which provides a "see through" vision among real world objects. In this paper, we have thoroughly analysed the existing methodologies dealing with AR X-Ray Vision and we have come up with a convenient method that enables easy implementation.

This paper deals with creating a methodology to provide an X-Ray vision using the anaglyph technique and finally integrating it with the Leap Motion Controller to enable gesture interaction to move the window around through which the point of interest can be viewed. The limitations of the suggested methodology have also been discussed. This system enables the user to perceive depth between two regions with the help of just anaglyph glasses without the use of any head mounted display devices.

Can be extended to that of medical field, where X-Ray vision is of increasing importance to view the layers of skin and bones of a patient giving the doctors and surgeons an approximate depth perception.


Keywords

Anaglyph, Augmented Reality, Depth Perception, Gesture Interaction, Leap Motion Controller, X-Ray Vision.
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  • Augmented Reality X-Ray Vision with Gesture Interaction

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Authors

P. Geethan
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India
P. Jithin
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India
T. Naveen
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India
K. V. Padminy
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India
J. Shruthi Krithika
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India
Shriram K. Vasudevan
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India

Abstract


Augmented reality is a new technology which is capable of presenting possibilities that are difficult for other technologies to offer and meet. AR will really alter the way individuals view the world. Augmented reality X-Ray Vision is an emerging concept. While AR deals with virtual and real objects coexisting in the same space, AR X-Ray Vision is a subdivision of the broad spectrum of AR, which provides a "see through" vision among real world objects. In this paper, we have thoroughly analysed the existing methodologies dealing with AR X-Ray Vision and we have come up with a convenient method that enables easy implementation.

This paper deals with creating a methodology to provide an X-Ray vision using the anaglyph technique and finally integrating it with the Leap Motion Controller to enable gesture interaction to move the window around through which the point of interest can be viewed. The limitations of the suggested methodology have also been discussed. This system enables the user to perceive depth between two regions with the help of just anaglyph glasses without the use of any head mounted display devices.

Can be extended to that of medical field, where X-Ray vision is of increasing importance to view the layers of skin and bones of a patient giving the doctors and surgeons an approximate depth perception.


Keywords


Anaglyph, Augmented Reality, Depth Perception, Gesture Interaction, Leap Motion Controller, X-Ray Vision.



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8iS7%2F74775