Ω + θr θi H α N β = + φ φ r x φ i 2 diffuse component specular component (a) 1 (b) BRDF (R) (G) (B) BRDF f BRDF (x, θ i, φ i, θ r, φ r ). (1) 1(b) N φ
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1 1 Measurement and Modeling of Reflection and Scattering Yasuhiro Mukaigawa 1 When an object is illuminated, part of the light reflects on the surface and some scatter underneath the surface. The appearance of the object observed by a camera or human eyes depends on a material and micro-structure of the surface. To analyze a change of the surface intensity due to lighting and viewing directions, a variety of models and measuring methods have been proposed in the past. This paper focuses on optical phenomena of the reflection and scattering and outlines their methods of the measurement and models Osaka University CG CG CG C CG C CG CG C CG CG C (BRDF: Bi-directional Reflectance Distribution Function) x BRDF 1(a) (θ i, φ i ) (θ r, φ r) 1 c 2010 Information Processing Society of Japan
2 Ω + θr θi H α N β = + φ φ r x φ i 2 diffuse component specular component (a) 1 (b) BRDF (R) (G) (B) BRDF f BRDF (x, θ i, φ i, θ r, φ r ). (1) 1(b) N φ = φ r φ i f isotropic BRDF (x, θ i, θ r, φ). (2) BRDF -1: f BRDF (x,, ) = f BRDF (x,, ). (3) -2: Ω + f BRDF (x,, )(N )d 1. (4) Ω + BRDF BRDF (4) cos θ r (= N ) BRDF ambert i = ρ d max(0, N ). (5) ρ d ambert Oren-Nayar 1) c 2010 Information Processing Society of Japan
3 Phong 2) β i = ρ s cos n β. (6) ρ s n CG Torrance-Sparrow 3) Torrance-Sparrow Torrance-Sparrow Blinn 4) Blinn i = ρ s DGF N. (7) D G F D D H N α D 1 α Phong Phong D 1 = cos n 1 α. (8) D 2 Torrance-Sparrow D 2 = e (αn 2) 2. (9) D 3 Trowbridge-Reitz ( ) (n 3 ) 2 2 D 3 =. (10) cos 2 α((n 3 ) 2 1) + 1 G ( G = min 1, 2(N H)(N ), ( H) ) 2(N H)(N ). (11) ( H) F 1 ( ) F = 1 (g c) 2 2 (g + c). (c(g + c) 1)2 1 +, (12) 2 (c(g c) + 1) 2 c = H, g = η 2 + c 2 1. (13) η Cook-Torrance 5) Torrance-Sparrow D D 4 = 1 (n 4 ) 2 cos 4 α e ( ) tan 2 α (n 4 ) 2. (14) Cook-Torrance 1 3 c 2010 Information Processing Society of Japan
4 Ward 6) BRDF Torrance-Sparrow D afortune 7) BRDF BRDF BTF (Bi-directional Texture Function) (a) (c) Ellipsoidal mirror Object (b) Plate mirror (d) 3. CG 2.1 BRDF BRDF 3.1 BRDF BRDF (a) BRDF Projector Beam splitter Camera (e) BRDF (RCG-2) 18) 3 BRDF 8) BRDF BRDF BRDF 3(b) BRDF 9) 4 c 2010 Information Processing Society of Japan
5 BRDF 10) BRDF 11) BRDF (c) BRDF ) ED 13) BRDF BRDF 14) 15) 16) 17) 3(d) 3(e) BRDF 18) BRDF 3.2 BRDF BRDF CG 5-1 RGB BRDF BRDF c 2010 Information Processing Society of Japan
6 (x,ω) absorption (x,ω)+d(x,ω) out-scattering in-scattering ds 4 19) 4 x ω (x, ω) x ds d(x, ω) x (x, ω) + d(x, ω) σ a(x) d(x, ω) = σ a (x)(x, ω)ds. (15) [m 1 ] σ s(x) d(x, ω) = σ s (x)(x, ω)ds. (16) [m 1 ] σ t = σ a + σ s d(x, ω) = σ t (x)(x, ω)ds, (17) 5 x ω (x, ω ) ω x ω p(x, ω, ω) ( ) d(x, ω) = σ s (x) p(x, ω, ω)(x, ω )dω ds. (18) Ω Ω x p ω ω θ p(θ) = 1 4π 1 g 2. (19) (1 + g 2 2g cos θ) 2 3 g 5 g x ω (x, ω) d(x, ω) ( d(x, ω) = σ t(x)(x, ω)ds + σ s(x) 4.2 ) p(x, ω, ω)(x, ω )dω ds. (20) Ω 6(a) x 6(b) x i x o 6 c 2010 Information Processing Society of Japan
7 x x i x o xi xo (a) (b) 6 d1 xm θ d2 p(θ) 8 (a) 7 (b) BSSRDF: Bidirectional Scattering Surface Reflectance Distribution FunctionBSS- RDF x i x o f BSSRDF (x i,, x o, ). (21) 7 f single BSSRDF f multiple BSSRDF 1 f BSSRDF (x i,, x o, ) = f single BSSRDF (x i,, x o, ) + f multiple BSSRDF (x i,, x o, ). (22) x i x m x o x i x m d 1 e σ td 1 x m θ σ s p(θ) x m x o d 2 e σ td 2 f single BSSRDF (x i,, x o, ) = σ s p(θ)e σ t(d 1 +d 2 ). (23) ) 20) 21) 7 c 2010 Information Processing Society of Japan
8 z v r z r 10 9 Jensen 22) BSSRDF f multiple BSSRDF (x i,, x o, ) = 1 π F t(η, )R d (x i, x o )F t (η, ) (24) η F t R d (x i, x o) x i x o 2 r = x o x i R d (r) = α ( {z r σ tr + 1 ) e σ tr d r ( +z v σ tr + 1 ) } e σ tr d v 4π d r d v d 2 r d r = r 2 + zr, 2 d v = r 2 + zv, 2 z r = 1 σ t, z v = z r (1 + 4 A) (26) 3 d 2 v (25) A = 1 + F dr, F dr = η (27) 1 F dr η 2 η σ tr = 3σ a σ t, σ t = σ s + σ a, σ s = σ s (1 g), α = σ s σ t σ s, σ a, η, g 9 (28) 23) GPU 24) 25) C Narasimhan 26) Narasimhan 27) 8 c 2010 Information Processing Society of Japan
9 (a) (b) (c) 12 PO-Ray (a) 22) (b) 28) (c) 29) 30) 31) 5.3 BSSRDF 3.2 BRDF BSSRDF BSSRDF Peers 32) BSSRDF BSSRDF 6. CG/C 6.1 PO-Ray (a) (b) CG 13 PO-Ray PO-Ray (Persistence of ision Ray-Tracer) CG PO-Ray CG Windows, Mac OS X, inux SunOS UNIX MS-DOS PO-Ray CG C 12 9 c 2010 Information Processing Society of Japan
10 3.1.4 BRDF 13(a) BRDF 1 1 BRDF PO-Ray 13(b) (a) Phong void do_phong() BRDF 6.2 PBRT SIGGRAPH pbrt Matt Pharr and Greg Humphreys, PHYSICAY BASED RENDERING FROM THEORY TO IMPEMENTATION, Elsevier (ISBN ) CG CG pbrt BRDF BRDF pbrt PO-Ray C SIGGRAPH2010 pbrt BRDF 6.3 CG Magic 2007 CG Magic, 1 pbrt CG SIGGRAPH CG/C C C CG C 7. C 1) M. Oren and S. K. Nayar, Generalization of ambert s Reflectance Model, Proc. SIGGRAPH 94, pp , ) B. T. Phong, Illumination for computer generated pictures, Proc. SIG- GRAPH 75. pp , ) K. E. Torrance and E. M. Sparrow, Theory for Off-Specular Reflection From Roughened Surfaces, JOSA, ol. 57, Issue 9, pp , ) J. F. Blinn, Models of light reflection for computer synthesized pictures, Proc. SIGGRAPH 77, pp , ) R.. Cook and K. E. Torrance, A reflectance model for computer graphics, Proc. SIGGRAPH 81, pp , ) G.J.Ward, Measuring and Modeling anisotropic reflection, Proc. SIG- GRAPH 92, pp , ) E. P. F. afortune, S. C. Foo, K. E. Torrance, and D. P. Greenberg, Non-inear 10 c 2010 Information Processing Society of Japan
11 Approximation of Reflectance Functions, Proc. SIGGRAPH 97, pp , ) H. i, S. C. Foo, K. E. Torrance, and S. H. Westin, Automated three-axis gonioreflectometer for computer graphics applications, Proc. SPIE, ol.5878, pp , ) S. R. Marschner, S. H. Westin, E. P. F. afortune, K. E. Torrance, Image-Based Bidirectional Reflectance Distribution Function Measurement, Applied Optics, ol.39, No.16, pp , ) R. u, J. J. Koenderink, and A. M.. Kappers, Optical Properties (Bidirectional Reflection Distribution Functions) of elvet, Applied Optics, ol.37, No.25, pp , ) S. R. Marschner, S. H. Westin, E. P. F. afortune, K. E. Torrance, and D. P. Greenberg, Image-Based BRDF Measurement Including Human Skin, Proc. 10th Eurographics Workshop on Rendering, pp , ) G. Müller, G. H. Bendels, and R. Klein, Rapid Synchronous Acquisition of Geometry and Appearance of Cultural Heritage Artefacts, AST2005, pp13-20, ) M. Ben-Ezra, J. Wang, B. Wilburn, X. i, and. Ma, An ED-only BRDF Measurement Device, Proc. CPR2008, pp.1-8, ) P. R. Mattison, M. S. Dombrowski, J. M. orenz, K. J. Davis, H. C. Mann, P. Johnson, and B. Foos, Handheld directional reflectometer: an angular imaging device to measure BRDF and HDR in real time, Proc. SPIE ol.3426, pp , ) K. J. Dana and J. Wang, Device for convenient measurement of spatially varying bidirectional reflectance, J. Opt. Soc. Am. A, ol.21, Issue 1, pp.1-12, ) S. Kuthirummal and S. K. Nayar, Multiview Radial Catadioptric Imaging for Scene Capture, Proc. SIGGRAPH2006, pp , ) J. Y. Han and K. Perlin, Measuring Bidirectional Texture Reflectance with a Kaleidoscope, ACM Transactions on Graphics, ol.22, No.3, pp , ) Y.Mukaigawa, K.Sumino, Y.Yagi, Rapid BRDF Measurement using an Ellipsoidal Mirror and a Projector, IPSJ Transactions on Computer ision and Applications, ol.1, pp.21-32, ) J. Stam, Multiple scattering as a diffusion process, Proc. Eurographics Rendering Workshop, ) M. Pharr and P. Hanrahan, Monte Carlo evaluation of non-linear scattering equations for subsurface reflection, Proc. SIGGRAPH2000, pp.75-84, ) H. W. Jensen and P.H. Christensen, Efficient Simulation of ight Transport in Scenes with Participating Media using Photon Maps, Proc. SIGGRAPH 98, pp , ) H. W. Jensen, S. R. Marschner, M. evoy, and P. Hanrahan, A Practical Model for Subsurface ight Transport, Proc. SIGGRAPH2001, pp , ) C. Donner H. W. Jensen, ight Diffusion in Multi-ayered Translucent Materials, Proc. SIGGRAPH2005, pp , ) E.d Eon, D. uebke, and E. Enderton, Efficient Rendering of Human Skin, Eurographics Symposium on Rendering, ) C. Donner,J. awrence, R. Ramamoorthi, T. Hachisuka, H. W. Jensen, and S. K. Nayar, An empirical BSSRDF model, Proc. SIGGRAPH2009, pp.1-10, ) S. G. Narasimhan, S. K. Nayar, B. Sun, and S. J. Koppal, Structured ight in Scattering Media, Proc. ICC 05, ol.1, pp , ) S. G. Narasimhan, M. Gupta, C. Donner, R. Ramamoorthi, S. K. Nayar, and H. W. Jensen, Acquiring Scattering Properties of Participating Media by Dilution, Proc. SIGGRAPH2006, pp , ) M. Goesele, H. P. A. ensch, J. ang, C. Fuchs, and H. P. Seidel, Disco - Acquisition of Translucent Objects, Proc. SIGGRAPH2004, pp , ) A. Ghosh, T. Hawkins, P. Peers, S. Frederiksen, and P. Debevec, Practical Modeling and Acquisition of ayered Facial Reflectance, Proc. SIGGRAPH Asia ) S. Tariq, A. Gardner, I. lamas, A. Jones, P. Debevec, and G. Turk, Efficient Estimation of Spatially arying Subsurface Scattering Parameters, ision, Modeling, and isualization (M2006), ) T. Weyrich, W. Matusik, H. Pfister, B. Bickel, C. Donner, C. Tu, J. McAndless, J. ee, A. Ngan, H. W. Jensen, and M. Gross, Analysis of Human Faces using a Measurement-Based Skin Reflectance Model, Proc. SIGGRAPH2006, pp , ) P. Peers, K. vom Berge,, W. Matusik, R. Ramamoorthi, J. awrence, S. Rusinkiewicz, and P. Dutre, A Compact Factored Representation of Heterogeneous Subsurface Scattering Proc. SIGGRAPH2006, pp , c 2010 Information Processing Society of Japan
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
(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,a) 1,b) Obstacle Detection from Monocular On-Vehicle Camera in units of Delaunay Triangles Abstract: An algorithm to detect obstacles by using a monocular on-vehicle video camera is developed. Since
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1 1 1 Structure from Motion - 1 Ville [1] NAC EMR-9 [2] 1 Osaka University [3], [4] 1 1(a) 1(c) 9 9 9 c 216 Information Processing Society of Japan 1 Gaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b)
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Vol. 52 No. 1 257 268 (Jan. 2011) 1 2, 1 1 measurement. In this paper, a dynamic road map making system is proposed. The proposition system uses probe-cars which has an in-vehicle camera and a GPS receiver.
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TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato
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Image-based Modeling 1 1 Object Extraction Method for Image-based Modeling using Projection Transformation of Multi-viewpoint Images Masanori Ibaraki 1 and Yuji Sakamoto 1 The volume intersection method
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3DCG 1) ( ) 2) 2) 1) 2) Real-Time Line Drawing Using Image Processing and Deforming Process Together in 3DCG Takeshi Okuya 1) Katsuaki Tanaka 2) Shigekazu Sakai 2) 1) Department of Intermedia Art and Science,
1(a) (b),(c) - [5], [6] Itti [12] [13] gaze eyeball head 2: [time] [7] Stahl [8], [9] Fang [1], [11] 3 -
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The Great Buddha Project Λ1 Λ2 Λ2 Λ2 Λ3 Λ2 Λ1 Λ2 Λ3 ( (VR) VR (1) (2) (3) modeling-from-reality (MFR) The Great Buddha Project Digital archive of large-scale cultural heritage Ryo Kurazume Λ1 Ko Nishino
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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
情報処理学会研究報告 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播の計測と応用 上田 朝己1 久保 尋之1 舩冨 卓哉1 向川 康博1 概要 プロジェクタでシーンを照明したときの様子をカメラで撮影することで シーンでの光伝播を計測 し シーンの様々な光学的性質を推定できることが知られている 本研究では レーザープロジェクタと ローリングシャッターカメラを用いて撮像タイミングを同期し
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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
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1, 2 1 1 1 Instrument Separation in Reverberant Environments Using Crystal Microphone Arrays Nobutaka ITO, 1, 2 Yu KITANO, 1 Nobutaka ONO 1 and Shigeki SAGAYAMA 1 This paper deals with instrument separation
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,
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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],
IPSJ SIG Technical Report Pitman-Yor 1 1 Pitman-Yor n-gram A proposal of the melody generation method using hierarchical pitman-yor language model Aki
Pitman-Yor Pitman-Yor n-gram A proposal of the melody generation method using hierarchical pitman-yor language model Akira Shirai and Tadahiro Taniguchi Although a lot of melody generation method has been
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1 1 2,,.,.,,, SIFT.,,. Pitching Motion Analysis Using Image Processing Shinya Kasahara, 1 Issei Fujishiro 1 and Yoshio Ohno 2 At present, analysis of pitching motion from baseball videos is timeconsuming
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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
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
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IPSJ SIG Technical Report Vol.2017-CG-168 No.1 Vol.2017-DCC-17 No.1 Vol.2017-CVIM-209 No /11/8 BRDF 1,a) BRDF 3 BRDF BRDF BRDF 3 BRDF
BRDF 1,a) 1 1 1 3 3 BRDF 3 BRDF BRDF BRDF 3 BRDF BRDF BRDF 1. 3 [9] Structure from Motion SfM Chandraker [1] 3 3 BRDF BRDF BRDF BRDF SfM 3 SfM 1 630 019 8916 5 a) ono.taishi.op0@is.naist.jp 3 BRDF 3 BRDF.
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1 1 2 TOF 2 (D-HOG HOG) Recall D-HOG 0.07 HOG 0.16 Pose Estimation by Regression Analysis with Depth Information Yoshiki Agata 1 and Hironobu Fujiyoshi 1 A method for estimating the pose of a human from
IPSJ SIG Technical Report Vol.2018-CVIM-210 No /1/18 1,a) [29] [14] [2] [25], [30] [3] [21] [22] a) ikeya.nobuhir
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1,a) 1 1 1 1 1 1. [29] [14] [2] [25], [30] [3] [21] [22] 1 630 0192 8916 5 a) ikeya.nobuhiro.ii6@is.naist.jp (a) (b) 1: (a) (b) [32] 1 c 2018 Information Processing Society of Japan 1 2. [30] [11] [12]
FIT27( 第 6 回情報科学技術フォーラム ) Target images i Φ b a Target images i Φ a b Target images i Φ b a Target images i Φ a b b b N a a N b b b b αn a a a a αn I
FIT27( 第 6 回情報科学技術フォーラム ) CI-2 Light Field Display Benefits of Using High Resolution Layers for Multi-Layer Light Field Display Yuto KOBAYSHI Keita TAKAHASHI Toshiaki FUJII Light field display 3 [][2][3][4]
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CHLAC 1 2 3 3,. (CHLAC), 1).,.,, CHLAC,.,. Suspicious Behavior Detection based on CHLAC Method Hideaki Imanishi, 1 Toyohiro Hayashi, 2 Shuichi Enokida 3 and Toshiaki Ejima 3 We have proposed a method for
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1 2 1 3 Experimental Evaluation of Convenient Strain Measurement Using a Magnet for Digital Public Art Junghyun Kim, 1 Makoto Iida, 2 Takeshi Naemura 1 and Hiroyuki Ota 3 We present a basic technology
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3 * 35 (3), 7 Analysis of Local Magnetic Properties and Acoustic Noise in Three-Phase Stacked Transformer Core Model Masayoshi Ishida Kenichi Sadahiro Seiji Okabe 3.7 T 5 Hz..4 3 Synopsis: Methods of local
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1,a) 2 2 2 1 2 3 24 Motion Frame Omission for Cartoon-like Effects Abstract: Limited animation is a hand-drawn animation style that holds each drawing for two or three successive frames to make up 24 frames
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Vol. 2 No. 2 10 21 (Mar. 2009) 1 1 1 Effect of Overconfidencial Investor to Stock Market Behaviour Ryota Inaishi, 1 Fei Zhai 1 and Eisuke Kita 1 Recently, the behavioral finance theory has been interested
(a) (b) (c) Canny (d) 1 ( x α, y α ) 3 (x α, y α ) (a) A 2 + B 2 + C 2 + D 2 + E 2 + F 2 = 1 (3) u ξ α u (A, B, C, D, E, F ) (4) ξ α (x 2 α, 2x α y α,
[II] Optimization Computation for 3-D Understanding of Images [II]: Ellipse Fitting 1. (1) 2. (2) (edge detection) (edge) (zero-crossing) Canny (Canny operator) (3) 1(a) [I] [II] [III] [IV ] E-mail sugaya@iim.ics.tut.ac.jp
IPSJ SIG Technical Report Vol.2012-CVIM-182 No /5/ RGB [1], [2], [3], [4], [5] [6], [7], [8], [9] 1 (MSFA: Multi-Spectrum Filt
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,, Department of Civil Engineering, Chuo University Kasuga 1-13-27, Bunkyo-ku, Tokyo 112 8551, JAPAN E-mail : atsu1005@kc.chuo-u.ac.jp E-mail : kawa@civil.chuo-u.ac.jp SATO KOGYO CO., LTD. 12-20, Nihonbashi-Honcho
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1,a) 2 2 2011 10 21, 2012 5 12 A Study of Simulating Log-aesthetic Curved Surfaces under Various Light Source Environments with Augmented Reality Ryo Hirano 1,a) Toshinobu Harada 2 Kohe Tokoi 2 Received:
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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
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IPSJ SIG Technical Report Vol.2012-CVIM-183 No /9/2 1,a) 2,b) Stephen Lin 2,c) 1,d) 1,e) 1. Woodham [25] Silver [20] I l n I(x) = ρ(x)n T l (1)
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1,a) 2,b) Stephen Lin 2,c) 1,d) 1,e) 1. Woodham [25] Silver [20] I l n I(x) = ρ(x)n T l (1) ρ(x) x 1 2 Microsoft Research Asia a) takatani@am.sanken.osaka-u.ac.jp b) yasumat@microsoft.com c) stevelin@microsoft.com
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Vol. 47 No. SIG 14(TOM 15) Oct. 2006 RBF 2 Effect of Stock Investor Agent According to Framing Effect to Stock Exchange in Artificial Stock Market Zhai Fei, Shen Kan, Yusuke Namikawa and Eisuke Kita Several
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Feature Article Imaging of minuscule amounts of chemicals, Scannimg Chemical Microscope --- Increasing analysis information through imaging --- Abstract We have developed a Scanning Chemical Microscope
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微分積分 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. ttp://www.morikita.co.jp/books/mid/00571 このサンプルページの内容は, 初版 1 刷発行時のものです. i ii 014 10 iii [note] 1 3 iv 4 5 3 6 4 x 0 sin x x 1 5 6 z = f(x, y) 1 y = f(x)
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β TOPIX 1 22 β β smoothness priors (the Capital Asset Pricing Model, CAPM) CAPM 1 β β β β smoothness priors :,,. E-mail: koiti@ism.ac.jp., 104 1 TOPIX β Z i = β i Z m + α i (1) Z i Z m α i α i β i (the
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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
The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website by the author(s) under the agreement with the IPSJ.
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26 P2P Proposed a system for the purpose of idle resource utilization of the computer using the P2P 1150373 2015 2 27 P2P P2P peer peer P2P peer P2P peer P2P i Abstract Proposed a system for the purpose
Study on Application of the cos a Method to Neutron Stress Measurement Toshihiko SASAKI*3 and Yukio HIROSE Department of Materials Science and Enginee
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Multi-Viewpoint Display by Projection onto Cylindrical Fog Screen Masataka IMURA We have been developing a novel fog display system that enables users to observe a virtual object from multiple viewpoints.