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EyeCatcher: A Digital Camera for Capturing a Variety of Natural Looking Facial Expressions in Daily Snapshots

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Pervasive Computing (Pervasive 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6030))

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Abstract

This paper proposes a novel interactive technique, the EyeCatcher, which helps photographers capture a variety of natural looking facial expressions of their subjects, by keeping the eyes of the subjects focused on the camera without the stress usually associated with being photographed. We develop a prototype system and verify the effectiveness through evaluation and discussion.

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References

  1. Kanwisher, N.: What’s in a face? Science 311

    Google Scholar 

  2. Minami, T.: Art of video telephone. IEICE Transactions 56(11), 1485–1490 (1973) (in Japanese)

    Google Scholar 

  3. Lee, B., Lee, W.: Cheese cam: unconscious interaction between humans and a digital camera. In: Extended abstracts on CHI 2009, pp. 4285–4290. ACM Press, New York (2009)

    Google Scholar 

  4. Samsung dualview tl225 (2009), http://www.samsung.com/us/consumer/photography/digital-cameras/compact/EC-TL225ZBPOUS/index.idx?pagetype=prd_detail

  5. Howdy (2005) (in Japanese), http://www.himanainu.jp/himag/?p=172

  6. Patel, S., Abowd, G.: The contextcam: Automated point of capture video annotation. In: Davies, N., Mynatt, E.D., Siio, I. (eds.) UbiComp 2004. LNCS, vol. 3205, pp. 301–318. Springer, Heidelberg (2004)

    Google Scholar 

  7. Watanabe, K., Tsukada, K., Yasumrua, M.: Willcam: a digital camera visualizing users’ interest. In: Extended Abstracts of CHI 2007, pp. 2747–2752. ACM Press, New York (2007)

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  8. Hakansson, M., Ljungblad, S., Holmquist, L.E.: Capturing the invisible: designing context-aware photography. In: Proceedings of DUX 2003, pp. 1–4. ACM Press, New York (2003)

    Chapter  Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Tsukada, K., Oki, M. (2010). EyeCatcher: A Digital Camera for Capturing a Variety of Natural Looking Facial Expressions in Daily Snapshots. In: Floréen, P., Krüger, A., Spasojevic, M. (eds) Pervasive Computing. Pervasive 2010. Lecture Notes in Computer Science, vol 6030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12654-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-12654-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12653-6

  • Online ISBN: 978-3-642-12654-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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