(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

Similar documents
IPSJ-CVIM

(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) t 4(a) t tmap RGB 2 (a) RGB (A), (B), (C)

Vol1-CVIM-172 No.7 21/5/ Shan 1) 2 2)3) Yuan 4) Ancuti 5) Agrawal 6) 2.4 Ben-Ezra 7)8) Raskar 9) Image domain Blur image l PSF b / = F(

& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro

17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System

IPSJ SIG Technical Report 1,a) 1,b) 1,c) 1,d) 2,e) 2,f) 2,g) 1. [1] [2] 2 [3] Osaka Prefecture University 1 1, Gakuencho, Naka, Sakai,

(MIRU2008) HOG Histograms of Oriented Gradients (HOG)

,,.,.,,.,.,.,.,,.,..,,,, i

IPSJ SIG Technical Report Vol.2010-CVIM-170 No /1/ Visual Recognition of Wire Harnesses for Automated Wiring Masaki Yoneda, 1 Ta

1 Web [2] Web [3] [4] [5], [6] [7] [8] S.W. [9] 3. MeetingShelf Web MeetingShelf MeetingShelf (1) (2) (3) (4) (5) Web MeetingShelf

1 Table 1: Identification by color of voxel Voxel Mode of expression Nothing Other 1 Orange 2 Blue 3 Yellow 4 SSL Humanoid SSL-Vision 3 3 [, 21] 8 325

28 Horizontal angle correction using straight line detection in an equirectangular image

14 2 5

1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2

IPSJ SIG Technical Report Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for

IPSJ SIG Technical Report Vol.2012-CG-149 No.13 Vol.2012-CVIM-184 No /12/4 3 1,a) ( ) DB 3D DB 2D,,,, PnP(Perspective n-point), Ransa

DPA,, ShareLog 3) 4) 2.2 Strino Strino STRain-based user Interface with tacticle of elastic Natural ObjectsStrino 1 Strino ) PC Log-Log (2007 6)

IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-

光学

IPSJ-CVIM

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS ) GPS Global Positioning System

DEIM Forum 2012 E Web Extracting Modification of Objec

The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website

3 2 2 (1) (2) (3) (4) 4 4 AdaBoost 2. [11] Onishi&Yoda [8] Iwashita&Stoica [5] 4 [3] 3. 3 (1) (2) (3)

1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,

IPSJ SIG Technical Report Vol.2018-CVIM-210 No /1/18 1,a) [29] [14] [2] [25], [30] [3] [21] [22] a) ikeya.nobuhir

IPSJ SIG Technical Report iphone iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Proc

Microsoft Word - toyoshima-deim2011.doc

Gaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b) - [5], [6] [7] Stahl [8], [9] Fang [1], [11] Itti [12] Itti [13] [7] Fang [1],

[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing

Silhouette on Image Object Silhouette on Images Object 1 Fig. 1 Visual cone Fig. 2 2 Volume intersection method Fig. 3 3 Background subtraction Fig. 4

Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L

VRSJ-SIG-MR_okada_79dce8c8.pdf

Vol. 44 No. SIG 9(CVIM 7) ) 2) 1) 1 2) 3 7) 1) 2) 3 3) 4) 5) (a) (d) (g) (b) (e) (h) No Convergence? End (f) (c) Yes * ** * ** 1

2). 3) 4) 1.2 NICTNICT DCRA Dihedral Corner Reflector micro-arraysdcra DCRA DCRA DCRA 3D DCRA PC USB PC PC ON / OFF Velleman K8055 K8055 K8055

1(a) (b),(c) - [5], [6] Itti [12] [13] gaze eyeball head 2: [time] [7] Stahl [8], [9] Fang [1], [11] 3 -

日本感性工学会論文誌

( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst

IPSJ SIG Technical Report Vol.2012-CG-148 No /8/29 3DCG 1,a) On rigid body animation taking into account the 3D computer graphics came

IPSJ SIG Technical Report 1, Instrument Separation in Reverberant Environments Using Crystal Microphone Arrays Nobutaka ITO, 1, 2 Yu KITANO, 1

Lytro [11] The Franken Camera [12] 2.2 Creative Coding Community Creative Coding Community [13]-[19] Sketch Fork 2.3 [20]-[23] 3. ourcam 3.1 ou

Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m

THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.

xx/xx Vol. Jxx A No. xx 1 Fig. 1 PAL(Panoramic Annular Lens) PAL(Panoramic Annular Lens) PAL (2) PAL PAL 2 PAL 3 2 PAL 1 PAL 3 PAL PAL 2. 1 PAL

A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member

IPSJ SIG Technical Report Vol.2015-CVIM-196 No /3/6 1,a) 1,b) 1,c) U,,,, The Camera Position Alignment on a Gimbal Head for Fixed Viewpoint Swi

塗装深み感の要因解析

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

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

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

大学における原価計算教育の現状と課題

.,,, [12].,, [13].,,.,, meal[10]., [11], SNS.,., [14].,,.,,.,,,.,,., Cami-log, , [15], A/D (Powerlab ; ), F- (F-150M, ), ( PC ).,, Chart5(ADIns

IPSJ SIG Technical Report Vol.2014-CG-155 No /6/28 1,a) 1,2,3 1 3,4 CG An Interpolation Method of Different Flow Fields using Polar Inter

Sobel Canny i

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 +

IPSJ SIG Technical Report Vol.2011-MUS-91 No /7/ , 3 1 Design and Implementation on a System for Learning Songs by Presenting Musical St

IPSJ SIG Technical Report Vol.2014-GN-90 No.16 Vol.2014-CDS-9 No.16 Vol.2014-DCC-6 No /1/24 1,a) 2,b) 2,c) 1,d) QUMARION QUMARION Kinect Kinect

untitled


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]

2.2 2(a) 2(b) 1 Torrance-Sparrow 2.3 2(c) (a) 2 (b) (c) RGB 0.07mm0.2mm c 2009 Information Processing Society of Japan

29 jjencode JavaScript

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

IPSJ SIG Technical Report Vol.2014-HCI-158 No /5/22 1,a) 2 2 3,b) Development of visualization technique expressing rainfall changing conditions

1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan

Abstract This paper concerns with a method of dynamic image cognition. Our image cognition method has two distinguished features. One is that the imag

1 1 CodeDrummer CodeMusician CodeDrummer Fig. 1 Overview of proposal system c

kut-paper-template.dvi

2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC

季報2010C_P _3-3.indd

IPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe

Vol.53 No (Mar. 2012) 1, 1,a) 1, 2 1 1, , Musical Interaction System Based on Stage Metaphor Seiko Myojin 1, 1,a

知能と情報, Vol.30, No.5, pp

IPSJ SIG Technical Report Vol.2012-MUS-96 No /8/10 MIDI Modeling Performance Indeterminacies for Polyphonic Midi Score Following and

B HNS 7)8) HNS ( ( ) 7)8) (SOA) HNS HNS 4) HNS ( ) ( ) 1 TV power, channel, volume power true( ON) false( OFF) boolean channel volume int

013858,繊維学会誌ファイバー1月/報文-02-古金谷

IPSJ SIG Technical Report An Evaluation Method for the Degree of Strain of an Action Scene Mao Kuroda, 1 Takeshi Takai 1 and Takashi Matsuyama 1

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

kut-paper-template.dvi

本文6(599) (Page 601)

IPSJ SIG Technical Report Vol.2017-MUS-116 No /8/24 MachineDancing: 1,a) 1,b) 3 MachineDancing MachineDancing MachineDancing 1 MachineDan

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

Vol.11-HCI-15 No. 11//1 Xangle 5 Xangle 7. 5 Ubi-WA Finger-Mount 9 Digitrack 11 1 Fig. 1 Pointing operations with our method Xangle Xa

IPSJ SIG Technical Report Vol.2017-ARC-225 No.12 Vol.2017-SLDM-179 No.12 Vol.2017-EMB-44 No /3/9 1 1 RTOS DefensiveZone DefensiveZone MPU RTOS

21 Key Exchange method for portable terminal with direct input by user

149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :

Vol. 23 No. 4 Oct 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

12) NP 2 MCI MCI 1 START Simple Triage And Rapid Treatment 3) START MCI c 2010 Information Processing Society of Japan

IPSJ SIG Technical Report Vol.2013-CVIM-187 No /5/30 1,a) 1,b), 1,,,,,,, (DNN),,,, 2 (CNN),, 1.,,,,,,,,,,,,,,,,,, [1], [6], [7], [12], [13]., [

IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple

A Study on Throw Simulation for Baseball Pitching Machine with Rollers and Its Optimization Shinobu SAKAI*5, Yuichiro KITAGAWA, Ryo KANAI and Juhachi

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

2_05.dvi

1 7.35% 74.0% linefeed point c 200 Information Processing Society of Japan

IPSJ SIG Technical Report GPS LAN GPS LAN GPS LAN Location Identification by sphere image and hybrid sensing Takayuki Katahira, 1 Yoshio Iwai 1

58 10

「霧」や「もや」などをクリアにする高速画像処理技術

28 TCG SURF Card recognition using SURF in TCG play video

60 90% ICT ICT [7] [8] [9] 2. SNS [5] URL 1 A., B., C., D. Fig. 1 An interaction using Channel-Oriented Interface. SNS SNS SNS SNS [6] 3. Processing S

Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).

Transcription:

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

(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] 2 3.1 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 3.2.2 2(b) c 2012 Information Processing Society of Japan 2

[13] 4. (a) (b) (c) 2 Kim [5] 3.2.3 2(c) 3.2.4 [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] + 1 2 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

(a) (b) (a) (b) (c) (b) 4 (c) (d) 3 4.2.1 Nayar [6] 3(a) 4.2.2 Lamond [7] 3(b) 4.2.3 Mukaigawa [8] 3(c) 4.2.4 Mukaigawa [9] 3(d) 4.3 5. 5.1 4(a) 4(c) c 2012 Information Processing Society of Japan 4

6 (a) (b) 5 4(b) 4(d) 5.2 2 1 5(a) 2 5(b) 6. 6.1 (a) 470nm (b) 525nm (c) 660nm (d) 850nm 7 470nm525nm 660nm850nm 4 LED 6 4mm 7 8 9 700nm 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 11(a) CCD 11(b) 9px 9px 6.3 6 4mm 12 13 (a) (a) (b) (c) (d) (e) 13 (b) (c) (d) (e) 14 15 c 2012 Information Processing Society of Japan 6

(a) (b) (c) 14 (d) 17 (a) (b) 18 15 (a) (b) (c) (d) 19 (a) (b) 16 6.4 16 (a) (b) 17 18 (a) (b) 19 6.5 CCD c 2012 Information Processing Society of Japan 7

7. [7] B. Lamond, P. Peers, and P. Debevec Fast Image-based Separation of Diffuse and Specular Reflections, ICT- TR-02.2007, 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. 153 160. IEEE, 2010. [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.122-133, Dec. 2011. [10], (II), Proc. OPJ 2011, 2011 [11], II, Proc. OPJ 2011, 2011 [12],,,,,, 18, pp. 191-198, 1995 [13], ISBN 978-4-86043-133-4 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. 741 746, 1967. [3] T. Treibitz and Y.Y. Schechner, Active Polarization Descattering, IEEE transactions on pattern analysis and machine intelligence, pp. 385 399, 2008. [4] S. G. Narasimhan, S. K. Nayar, B. Sun, S. J. Koppal, Structured light in scattering media, Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, pp. 420-427 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. 935 944. ACM, 2006. c 2012 Information Processing Society of Japan 8