The compound eyes of an insect can focus on prey accurately and quickly. From biological perspective, compound eyes are excellent at detecting motion. Based on the computer vision aspect, limited studies regarding this issue exist. Studies have verified that a trinocular visual system incorporating a third CCD camera into a conventional binocular is very helpful in resolving translational motion. Extended from this concept, this study presents a novel spherical compound-like eye of a superposition type for pan-tilt rotational motion. We conclude that as the number of ommatidium an insect has increased, capability for detecting prey increases, even for ambiguous patterns in each ommatidium. In this study, the compound eyes of insects are investigated using computer vision principles.
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References
J. Tanida, T. Kumagai, K. Yamada, S. Miyatake, K. Ishida, T. Morimoto, N. Kondou, D. Miyazaki, and Y. Ichioka, “Thin observation module by bound optics (TOMBO): concept and experimental verification,”Appl. Optics, vol. 40, no. 11, pp. 1806–1813, 2001
R. Ng, Marc Levoy, M. Bredif, G. Duval, M. Horowitz, and P. Hanrahan, “Light field photography with a hand-held plenoptic camera,” Stanford University Computer Science, Tech Report CSTR 2005–02, 2005
E. H. Adelson and J. Y. A. Wang, “Single lens stereo with a plenoptic camera,”IEEE Trans. PA M I, vol. 14, pp. 99–106, 1992
T. Netter and N. Franceschini, “A robotic aircraft that follows terrain using a neuro-morphic eye,” inIEEE Proceedings of Conference on Intelligent Robots and Systems, pp. 129–134, 2002
K. Hoshino, F. Mura, H. Morii, K. Suematsu, and I. Shimoyama, “A small-sized panoramic scanning visual sensor inspired by the fly's compound eye,” inIEEE Proceedings of Conference on Robotics and Automation, pp. 1641–1646, 1998
R. Volkel, M. Eisner, and K. J. Weible, “Miniaturized imaging system,”J. MicroelectronicEngineering, Elsevier Science, Amsterdam, Netherlands, vol. 67–68, pp. 461–472, 2003
R. Hornsey, P. Thomas, W. Wong, S. Pepic, K. Yip, and R. Krishnasamy, “Electronic compound eye image sensor: construction and calibration,” inSensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V, M. M Blouke, N. Sampat, R. Motta, eds., Proceedings of SPIE 5301, pp. 13–24, 2004
J. Neumann, C. Fermuller, Y. Aloimonos, and V. Brajovic, “Compound eye sensor for 3D ego motion estimation,” inIEEE Proceedings of Conference on Intelligent Robots and Systems, vol. 4, pp. 3712–3717, 2004
J. Kim, K. H. Jeong, and L. P. Lee, “Artificial ommatidia by self-aligned microlenses and waveguides,”Opt. Express, 30, pp. 5–7, 2005
C. L. Tisse, “Low-cost miniature wide-angle imaging for self-motion estimation,”Opt. Express, vol. 13, no. 16, pp. 6061–6072, 2005
J. W. Kimball, “The compound eye,” Kimball's Biology Pages,http://users.rcn.com/jkimball.ma.ultranet/BiologyPages/C/CompoundEye.html
M. Elwell and L. Wen, “The power of compound eyes,”Opt. & Photonics News, pp. 58–59, 1991
G. A. Horridge, “A theory of insect vision: velocity parallax,”Proceedings of the Royal Society of London B, vol. 229, pp.13–27, 1986
E. C. Sobel, “The locust's use of motion parallax to estimate distance,”J. Comp. Physiol. A, vol. 167, pp. 579–588, 1990
M. V. Srinivasan, S. W. Zhang, M. Lehrer, and T. S. Collett, “Honeybee navigation EN ROUTE to the goal: visual flight control and odometry,”J. Exp. Biol., vol. 199, pp. 237–244, 1996
T. Collett, “Animal behaviour: Survey flights in honeybees,”Nature, vol. 403, pp. 488–489, February 2000
G. L. Lin and C. C. Cheng, “Single-row superposition-type spherical compound-like eye for pan-tilt motion recovery,” in2007 IEEE SSCI: 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, pp. 24–29, 2007
W. S. Romoser,The Science of Entomology, Macmillan, New York, 1973
M. F. Land and D.- E. Nilsson,Animal Eyes, Oxford University Press, New York, 2002
Y. Aloimonos, New Camera Technology: Eyes from Eyes. Available:http://www.cfar.umd.edu/˜larson/dialogue/newCameraTech.html
K. Prazdny, “Determining the instantaneous direction of motion from optical flow generated by a curvilinear moving observer,”Computer Graphics Image Processing, vol. 17, pp. 238–248, 1981
W. Burger and B. Bhanu, “Estimating 3-D egomotion from perspective image sequences,”IEEE Trans. PAMI, vol. 12, pp. 1040–1058, 1990
G. L. Lin and C. C. Cheng, “Single-Row superposition-type compound-like eye for motion recovery,” inIEEE International Conference on Systems, Man and Cybernetics, pp. 1986–1991, 2006
E. Simoncelli, E. Adelson, and D. Heeger, “Probability distributions of optical flow,” inProceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Mauii, Hawaii, 1991, pp. 310–315
J. L. Barron, D. J. Fleet, and S. S. Beauchemin, “Performance of optical flow techniques,”International Journal of Computer Vision, vol. 13, no. 1, pp. 43–77, September 1994
N. Gupta and L. Kanal, “3-D motion estimation from motion field,”Artif. Intel., vol. 78, pp. 45–86, November 1995
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Lin, GL., Cheng, CC. (2009). Pan-Tilt Motion Estimation Using Superposition-Type Spherical Compound-Like Eye. In: Ao, SI., Rieger, B., Chen, SS. (eds) Advances in Computational Algorithms and Data Analysis. Lecture Notes in Electrical Engineering, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8919-0_40
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