(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s

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Download "(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s"

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1 1 1 1, Extraction of Transmitted Light using Parallel High-frequency Illumination Kenichiro Tanaka 1 Yasuhiro Mukaigawa 1 Yasushi Yagi 1 Abstract: We propose a new sharpening method of transmitted scene called parallel high-frequency illumination. We can estimate inner structures of an object by captureing transparent images. However, lights strongly scatter inside a translucent object, hence the captured images tend to be unclear. In this paper, we show that various high frequency illumination techniques can be uniformly defined as a separation of crossed and uncrossed lights. Moreover, we show that the transmitted lights become uncrossed by constructing parallel projection system for both illumination and observation. In the experiment using acrylic board, we quantitatively evaluated image sharpening effect by extracting transmitted lights. We also confirmed that the proposed method using infra-red wavelength is effective for imaging human body. Keywords: parallel high-frequency illumination, transmitted light, scattered light, image sharpening 1. 1 The Institute of Scientific and Industrial Resaerch, Osaka University 1(a) 1(b) [1] c 2012 Information Processing Society of Japan 1

2 (a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s (1) L s L t (a) (b) c 2012 Information Processing Society of Japan 2

3 [13] 4. (a) (b) (c) 2 Kim [5] (c) [12] 4.1 Nayar [6] L d [c] L g [c] c c L max [c] L min [c] L max [c] = L d [c] L g[c] (2) L min [c] = 1 2 L g[c] (3) [6] L d [c] = L max [c] L min [c] (4) L g [c] = 2L min [c] (5) 4.2 c 2012 Information Processing Society of Japan 3

4 (a) (b) (a) (b) (c) (b) 4 (c) (d) Nayar [6] 3(a) Lamond [7] 3(b) Mukaigawa [8] 3(c) Mukaigawa [9] 3(d) (a) 4(c) c 2012 Information Processing Society of Japan 4

5 6 (a) (b) 5 4(b) 4(d) (a) 2 5(b) (a) 470nm (b) 525nm (c) 660nm (d) 850nm 7 470nm525nm 660nm850nm 4 LED 6 4mm nm 1200nm 850nm 6.2 LED CCD Point Grey Grasshopper2 Edmund Texas Instruments DMD LightCommander LED TAMRON *1 10 *1 c 2012 Information Processing Society of Japan 5

6 8 (a) LED (b) CCD 11 9 [13] nm LED 11(a) CCD 11(b) 9px 9px mm (a) (a) (b) (c) (d) (e) 13 (b) (c) (d) (e) c 2012 Information Processing Society of Japan 6

7 (a) (b) (c) 14 (d) 17 (a) (b) (a) (b) (c) (d) 19 (a) (b) (a) (b) (a) (b) CCD c 2012 Information Processing Society of Japan 7

8 7. [7] B. Lamond, P. Peers, and P. Debevec Fast Image-based Separation of Diffuse and Specular Reflections, ICT- TR , 2007 [8] Y. Mukaigawa, Y. Yagi, and R. Raskar, Analysis of Light Transport in Scattering Media, In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp IEEE, [9] Y.Mukaigawa, R.Raskar, and Y.Yagi, Analysis of Scattering Light Transport in Translucent Media, IPSJ Transactions on Computer Vision and Applications, Vol. 3, pp , Dec [10], (II), Proc. OPJ 2011, 2011 [11], II, Proc. OPJ 2011, 2011 [12],,,,,, 18, pp , 1995 [13], ISBN NTS, 2007 [1],,,,,,,, Vol. 27, No. 3, pp.50 54, 2010 [2] G.D. Gilbert and J.C. Pernicka, Improvement of underwater visibility by reduction of backscatter with a circular polarization technique, Applied Optics, Vol. 6, No. 4, pp , [3] T. Treibitz and Y.Y. Schechner, Active Polarization Descattering, IEEE transactions on pattern analysis and machine intelligence, pp , [4] S. G. Narasimhan, S. K. Nayar, B. Sun, S. J. Koppal, Structured light in scattering media, Computer Vision, ICCV Tenth IEEE International Conference on, pp Vol. 1, 2005 [5] J. Kim, D. Lanman, Y. Mukaigawa, R. Raskar, Descattering tansmission via angular filtering, ECCV 10 Proceedings of the 11th European conference on Computer vision: Part I, pp.86-99, 2010 [6] S.K. Nayar, G. Krishnan, M.D. Grossberg, and R. Raskar, Fast Separation of Direct and Global Components of a Scene using High Frequency Illumination, In ACM SIGGRAPH 2006 Papers, pp ACM, c 2012 Information Processing Society of Japan 8

(4) ω t(x) = 1 ω min Ω ( (I C (y))) min 0 < ω < C A C = 1 (5) ω (5) t transmission map tmap 1 4(a) 2. 3 2. 2 t 4(a) t tmap RGB 2 (a) RGB (A), (B), (C)

(4) ω t(x) = 1 ω min Ω ( (I C (y))) min 0 < ω < C A C = 1 (5) ω (5) t transmission map tmap 1 4(a) 2. 3 2. 2 t 4(a) t tmap RGB 2 (a) RGB (A), (B), (C) (MIRU2011) 2011 7 890 0065 1 21 40 105-6691 1 1 1 731 3194 3 4 1 338 8570 255 346 8524 1836 1 E-mail: {fukumoto,kawasaki}@ibe.kagoshima-u.ac.jp, ryo-f@hiroshima-cu.ac.jp, fukuda@cv.ics.saitama-u.ac.jp,

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