David Knight
Title
Background
The most recent generation of video game consoles have brought with them new user input devices that read a user's body posture and motion. One such device is the Microsoft Kinect, which is equipped with both a color camera and an infrared depth sensing system. The depth data sensed by the Kinect aids computer vision tasks such as segmentation or skeletal fitting and pose estimation. However, the spatial coarseness of the depth data makes it difficult to extract detailed information about extremities like the hands when the user is not inconveniently close to the sensor. This project aims to use the color data returned from the Kinect in conjunction with the depth data to segment skin regions out of hand images. Extracting accurate skin regions around the hands from Kinect data would be a step towards building a system that uses the Kinect to recognize hand gestures.
Methods
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Results
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Conclusions
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References
- C. Tomasi, R. Manduchi. "Bilateral Filtering for Gray and Color Images." In Proceedings of the IEEE International Conference on Computer Vision, 1998, pp. 839.
- M. J. Jones, J. M. Rehg. "Statistical Color Models with Application to Skin Detection." International Journal of Computer Vision, vol. 46, pp. 81-96, 2002.
- "Graphic Technology - Standard object colour spectra database for colour reproduction evaluation." International Standards Organization, Geneva, Switzerland, ISO/TR 16066:2003(E), 2003.
Appendix I
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Acknowledgements
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