(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
(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)

& 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

(MIRU2008) HOG Histograms of Oriented Gradients (HOG)

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

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

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

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 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

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,,

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

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

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

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

塗装深み感の要因解析

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

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 +

untitled


29 jjencode JavaScript

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

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

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

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

kut-paper-template.dvi

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

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

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

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