(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
![Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] 2 3.](/docs-images/75/72066128/images/2-1.jpg "1 1 2 L L t L s L = L t + L s (1) L s L t 3.2 3.2.1 2(a) 2 3.")
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
![2.3 Mukaigawa [8] 3(c) 4.2.4 Mukaigawa [9] 3(d) 4.](/docs-images/75/72066128/images/4-3.jpg "3 5. 5.1 4(a) 4(c) c 2012")
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
![8 (a) LED (b) CCD 11 9 [13] 12 10 850nm LED](/docs-images/75/72066128/images/6-1.jpg "11(a) CCD 11(b) 9px 9px 6.")
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
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The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website
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17 Analysis of Factors for Paint Depth Feeling Takashi Wada, Mikiko Kawasumi, Taka-aki Suzuki ( ) ( ) ( ) The appearance and quality of objects are controlled by paint coatings on the surfaces of the objects.
4. C i k = 2 k-means C 1 i, C 2 i 5. C i x i p [ f(θ i ; x) = (2π) p 2 Vi 1 2 exp (x µ ] i) t V 1 i (x µ i ) 2 BIC BIC = 2 log L( ˆθ i ; x i C i ) + q
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情報処理学会研究報告 方向の組み合わせを変えながら反射光の強度を計測する この方法は単純であるが入射方向と反射方向の組み合わせ を同時に 1 つしか計測できないため すべての方向を計 測するには膨大な計測回数が必要となる問題がある その ため 計測を効率的に行う方法がこれまでに提案されてい る [3
1,a) 1,b) 1,c) 1,d) 1. CG 1 1 630 0192 8916 5 a) kushida.takahiro.kh3@is.naist.jp b) funatomi@is.naist.jp c) hkubo@is.naist.jp d) mukaigawa@is.naist.jp 散乱なし 散乱あり 1 2. c 2017 Information Processing Society
Vol.2018-CG-172 No.17 Vol.2018-DCC-20 No.17 Vol.2018-CVIM-214 No /11/8 情報処理学会研究報告 IPSJ SIG Technical Report プロジェクタ カメラシステムの同期遅延と 走査速度の制御にもとづく光伝
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21 Edge Feature for Monochrome Image Retrieval 1100311 2010 3 1 3 3 2 2 7 200 Sobel Canny i Abstract Edge Feature for Monochrome Image Retrieval Naoto Suzue Content based image retrieval (CBIR) has been
1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z +
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3 3D 1,a) 1 1 Kinect (X, Y) 3D 3D 1. 2010 Microsoft Kinect for Windows SDK( (Kinect) SDK ) 3D [1], [2] [3] [4] [5] [10] 30fps [10] 3 Kinect 3 Kinect Kinect for Windows SDK 3 Microsoft 3 Kinect for Windows
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580 26 5 SP-G 2011 AI An Automatic Question Generation Method for a Local Councilor Search System Yasutomo KIMURA Hideyuki SHIBUKI Keiichi TAKAMARU Hokuto Ototake Tetsuro KOBAYASHI Tatsunori MORI Otaru
Key Words: probabilisic scenario earthquake, active fault data, Great Hanshin earthquake, low frequency-high impact earthquake motion, seismic hazard map 3) Cornell, C. A.: Engineering Seismic
Q [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4]
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1,a) 2,3,b) Q ϵ- 3 4 Q greedy 3 ϵ- 4 ϵ- Comparation of Methods for Choosing Actions in Werewolf Game Agents Tianhe Wang 1,a) Tomoyuki Kaneko 2,3,b) Abstract: Werewolf, also known as Mafia, is a kind of
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1 2 1 1 1000 2 3 2 Statistical Analysis of Human Skin Based on Reflection and Scattering Characteristics Youko Baba, 1 Tomohiro Mashita, 2 Yasuhiro Mukaigawa 1 and Yasushi Yagi 1 The characteristic of
29 jjencode JavaScript
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20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow
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SNS 1,a) 2 3 3 2012 3 30, 2012 10 10 SNS SNS Development of Firefighting Knowledge Succession Support SNS in Tokyo Fire Department Koutarou Ohno 1,a) Yuki Ogawa 2 Hirohiko Suwa 3 Toshizumi Ohta 3 Received:
Abstract This paper concerns with a method of dynamic image cognition. Our image cognition method has two distinguished features. One is that the imag
2004 RGB A STUDY OF RGB COLOR INFORMATION AND ITS APPLICATION 03R3237 Abstract This paper concerns with a method of dynamic image cognition. Our image cognition method has two distinguished features. One
1 1 CodeDrummer CodeMusician CodeDrummer Fig. 1 Overview of proposal system c
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26 Discrimination of abnormal breath sound by using the features of breath sound 1150313 ,,,,,,,,,,,,, i Abstract Discrimination of abnormal breath sound by using the features of breath sound SATO Ryo
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H.264 CABAC 1 1 1 1 1 2, CABAC(Context-based Adaptive Binary Arithmetic Coding) H.264, CABAC, A Parallelization Technology of H.264 CABAC For Real Time Encoder of Moving Picture YUSUKE YATABE 1 HIRONORI
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2 Fig D human model. 1 Fig. 1 The flow of proposed method )9)10) 2.2 3)4)7) 5)11)12)13)14) TOF 1 3 TOF 3 2 c 2011 Information
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14 Application of Automatic Text Summarization for Question Answering System 1030260 2003 2 12 Prassie Posum Prassie Prassie i Abstract Application of Automatic Text Summarization for Question Answering
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HP cafe HP of A A B of C C Map on N th Floor coupon A cafe coupon B Poster A Poster A Poster B Poster B Case 1 Show HP of each company on a user scree
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21 Key Exchange method for portable terminal with direct input by user
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Transactions of the Operations Research Society of Japan Vol. 58, 215, pp. 148 165 c ( 215 1 2 ; 215 9 3 ) 1) 2) :,,,,, 1. [9] 3 12 Darroch,Newell, and Morris [1] Mcneil [3] Miller [4] Newell [5, 6], [1]
Vol. 23 No. 4 Oct. 2006 37 2 Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3
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36 Kitchen of the Future: Kitchen of the Future Kitchen of the Future A kitchen is a place of food production, education, and communication. As it is more active place than other parts of a house, there
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1 1, 2 1, 2 1 A Proposal of Ambulance Scheduling System Based on Electronic Triage Tag Teruhiro Mizumoto, 1 Weihua Sun, 1, 2 Keiichi Yasumoto 1, 2 and Minoru Ito 1 For effective life-saving in MCI (Mass
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,a),b),,,,,,,, (DNN),,,, (CNN),,.,,,,,,,,,,,,,,,,,, [], [6], [7], [], [3]., [8], [0], [7],,,, Tohoku University a) omokawa@vision.is.tohoku.ac.jp b) okatani@vision.is.tohoku.ac.jp, [3],, (DNN), DNN, [3],
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A Study on Throw Simulation for Baseball Pitching Machine with Rollers and Its Optimization Shinobu SAKAI*5, Yuichiro KITAGAWA, Ryo KANAI and Juhachi
A Study on Throw Simulation for Baseball Pitching Machine with Rollers and Its Optimization Shinobu SAKAI*5, Yuichiro KITAGAWA, Ryo KANAI and Juhachi ODA Department of Human and Mechanical Systems Engineering,
2 Poisson Image Editing DC DC 2 Poisson Image Editing Agarwala 3 4 Agarwala Poisson Image Editing Poisson Image Editing f(u) u 2 u = (x
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Vol. 52 No. 2 901 909 (Feb. 2011) Gradient-Domain Image Editing is a useful technique to do various-type image editing, for example, Poisson Image Editing which can do seamless image composition. This
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1 2 3 Incremental Linefeed Insertion into Lecture Transcription for Automatic Captioning Masaki Murata, 1 Tomohiro Ohno 2 and Shigeki Matsubara 3 The development of a captioning system that supports the
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57 Multi-channel MAC Protocol with Multi-busytone in Ad-hoc Networks Masatoshi Fukushima*, Ushio Yamamoto* and Yoshikuni Onozato* Abstract Multi-channel MAC protocols for wireless ad hoc networks have
「霧」や「もや」などをクリアにする高速画像処理技術
Fas Single-Image Defogging 谭志明 白向晖 王炳融 東明浩 あらまし CPU GPU720 48050 fps Absrac Bad weaher condiions such as fog, haze, and dus ofen reduce he performance of oudoor cameras. In order o improve he visibiliy
28 TCG SURF Card recognition using SURF in TCG play video
28 TCG SURF Card recognition using SURF in TCG play video 1170374 2017 3 2 TCG SURF TCG TCG OCG SURF Bof 20 20 30 10 1 SURF Bag of features i Abstract Card recognition using SURF in TCG play video Haruka
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Fig. 1 The scheme of glottal area as a function of time Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels). Fig, 4 Parametric representation