geoinformatics

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "geoinformatics"

Transcription

1 つき 点 群 処 理 における ポイントベースドレンダリングとその 活 中 川 雅 史 ( 芝 浦 業 学 ) - 点 群 データ 処 理 の 概 要 と 課 題 - ポイントベースドレンダリングとその 活 - レンダリング - クラスタリング - アブストラクション - そのほか - まとめ

2 般 的 な 点 群 処 理 の 流 れ ハードウェア データ 取 得 較 的 簡 単 点 群 処 理 における 課 題 位 置 合 わせ 実 質 的 な 作 業 が 多 く 変 実 質 的 な 作 業 が 多 い ソフトウェア 可 視 化 3Dモデリング 較 的 簡 単 AR マッピング BIM/CIM 3Dプリント ニーズ ハードウェアとニーズは 充 実 してきたが, ソフトウェアがなかなか 追 い 付 いていない 内 容 改 善 のキーワード レンダリング クラスタリング アブストラクション

3 背 景 的 点 群 はそのままレンダリングすることが 可 能 しかし, 各 種 の3D 処 理 には 適 さないことが 多 い この 部 分 が 変 点 形 式 - ドロネー 三 形 分 割 変 換 - 編 集 形 式 - ポリゴン -TIN - NURBS 点 から への 変 換 に 関 して 点 群 データ 取 得 3Dモデリング レンダリング 処 理 の 順 番 を 変 えてみる 点 群 データ 取 得 レンダリング 3Dモデリング ノートPCレベルで 処 理 可 の 表 裏 判 定 が 容 易 ポイントベースドレンダリング 技 術 任 意 視 点 からのスケッチ 可 空 間 フィルタリング 技 術 汎 性 点 群 体 の 質 を 落 とさず, 点 群 処 理 を 軽 くする

4 点 群 レンダリングの 課 題 透 過 効 果 問 題 と 遠 近 効 果 問 題 Rendered point cloud from a viewpoint (Visualization quality depends on a viewpoint) Occlusion Far from a viewpoint = Dense points Near from a viewpoint = Sparse points 透 過 効 果 問 題 Caused by rendering hidden points among near-side points 遠 近 効 果 問 題 Caused by distance differences from the viewpoint to scanned points 任 意 視 点 からのスケッチは 困 難

5 Panoramic layered range image Point cloud projection in Layered image Measured point (X,Y,Z), (R,G,B), (Intensity) Projected point (X,Y,Z), (R,G,B), (Intensity) Cylindrical, Spherical, Cubic model, etc.. From 3D space to panoramic image space Azimuth Eleva ation Panorama model Multi-layered range image Point cloud to range image (layered range image) Simplify viewpoint translation Simplify filtering Simplify visualization

6 Pixel-selectable averaging filter using distance values Point cloud interpolation Xo Ro Real surface P1 P2 P3 P new1 P4 P5 遠 近 効 果 問 題 の 推 定 Near from a viewpoint= Sparse points Far from a viewpoint = Dense points No data space Range data Xt Rt P9 P new2 P10 P8 P7 P6 Generate a new point P new* 透 過 効 果 問 題 の 推 定 Hidden points are visible among near-side points

7 出 例 (1): 遠 近 効 果 問 題 の 解 決 Input 然 物 物 へ 同 時 に 適 可 能 Output

8 出 例 2 透過効果問題の解決 Outdoor建物デ タへの適 Outdoor建物データへの適 Input Output 五稜郭データセット 原データ提供 リーグルジャパン データ処理 芝浦 業 学 Side looking

9 出 例 (3): 遠 近 + 透 過 効 果 問 題 の 解 決 Indoor+Outdoor 建 物 データへの 適 Input Output Side looking

10 Normal vector-based point clustering Range image (panoramic image) Azimuth levationazimuth E Point cluster extraction Histgram of normal vector The numer of point [pix] Each point has a normal vector (norx, nory, norz) -1.0 Normal vector Ele evationazimuth Segments Integration or elimination Clusters Extracted surface (point clusters) Synchronization Clustering To improve accuracy.. Mincut Markov Network Fuzzy-clustering etc.

11 Point cloud rendering and clustering Point cloud clustering for 3D boundary extraction Input (1) Color:3D Normal vectors R, G and B were assigned as the X, Y and Z directions Edge:Ground boundary Rock walls Trees Input (2) Steps Slope

12 Indoor Mobile Mapping using TIMMS 3D scanned indoor space with Indoor mobile LiDAR Camera Trimble's Indoor Mobile Mapping System LiDAR Point cloud IMU Encoder Trajectory

13 Point cloud CAD data 660 million pts 85 view points 1271 polygons Point cloud Clustering & polygon extraction Extracted Polygon Estimated 85 viewpoints Overall result Z [m] Y [m] X [m]

14 Laser scanning for Bridge maintenance Hanekura-bridge bridge, Saitama VZ-400(RIEGL) Range up to Laser Class 1 Measurement rate up to 122,000 pts/sec Field of View up to

15 属 性 情 報 の 取 得 とモデリング Geocoding & Reverse geocoding Real space Location Geocoding Document - Geo-tagged documents - Geo-tagged photos Reverse geocoding Map space Document Document Document Document

16 まとめ メッシュモデリングにより 可 視 化 を 実 現 点 群 処 理 の 課 題 作 業 ( 修 正 作 業 )が 多 い 規 模 データであるため 扱 いづらい 動 処 理 コストが 極 めて きい 遠 近 効 果 問 題 と 透 過 効 果 問 題 規 模 データへの 対 応 が 困 難 従 来 技 術 とその 問 題 点 点 群 データ 取 得 3Dモデリング レンダリング メモリ 浪 費, 処 理 量 が 莫 - 3D Delaunay 滑 らかなエッジ 問 題 - Random Sample Consensus (RANSAC) シードポイント 問 題 - Marching cube, Voxel modeling, の 表 裏 を 判 定 が 困 難 レンジ 画 像 上 でのサーフェスモデリング(スケッチ) 提 案 法 点 群 データ 取 得 レンダリング 3Dモデリング ポイントベースドレンダリング 技 術 + 空 間 フィルタリング 技 術 視 点 制 約 任 意 視 点 からスケッチは 困 難 ノートPCレベルで 処 理 可 の 表 裏 判 定 が 容 易 任 意 視 点 からのスケッチ 可 汎 性 多 視 点 2D 画 像 処 理 を 適 し, 精 度 を 落 とさず, 点 群 処 理 を 軽 くする 技 術

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System 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.

More information

2. 研 究 の 目 的 DM Digital Mapping LIDAR Light Detection and Ranging LIDAR Mobile Mapping System MMSMMS 3 CityGML Gröger et al., 2008 LOD2 MMS MMS 2005 M

2. 研 究 の 目 的 DM Digital Mapping LIDAR Light Detection and Ranging LIDAR Mobile Mapping System MMSMMS 3 CityGML Gröger et al., 2008 LOD2 MMS MMS 2005 M GIS Theory and Applications of GIS, 2012, Vol. 20, No.2, pp.23-33 レーザ 計 測 による 地 理 空 間 データを 用 いたディジタルシティの 構 築 天 野 貴 文 * ** 吉 川 眞 Generating Digital City by Using Geo-spatial Data from Laser Measurements

More information

Fig. 1. Example of characters superimposed on delivery slip.

Fig. 1. Example of characters superimposed on delivery slip. Extraction of Handwritten Character String Superimposed on Delivery Slip Data Ken-ichi MATSUO, Non-member, Katsuhiko UEDA, Non-member (Nara National College of Technology), Michio UMEDA, Member (Osaka

More information

2 1,384,000 2,000,000 1,296,211 1,793,925 38,000 54,500 27,804 43,187 41,000 60,000 31,776 49,017 8,781 18,663 25,000 35,300 3 4 5 6 1,296,211 1,793,925 27,804 43,187 1,275,648 1,753,306 29,387 43,025

More information

光学

光学 Fundamentals of Projector-Camera Systems and Their Calibration Methods Takayuki OKATANI To make the images projected by projector s appear as desired, it is e ective and sometimes an only choice to capture

More information

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

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 PAL On the Precision of 3D Measurement by Stereo PAL Images Hiroyuki HASE,HirofumiKAWAI,FrankEKPAR, Masaaki YONEDA,andJien KATO PAL 3 PAL Panoramic Annular Lens 1985 Greguss PAL 1 PAL PAL 2 3 2 PAL DP

More information

2

2 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 2 3 01 02 03 4 04 05 06 5 07 08 09 6 10 11 12 7 13 14 15 8 16 17 18 9 19 20 21 10 22 23 24 11 FIELD MAP 12 13 http://www.pref.ishikawa.jp/shinrin/zei/index.html

More information

ÿþ

ÿþ Abstract The aim of this paper is to describe 1. how media, especially mobile phones, have been utilized in childrearing practices, and 2. how the process of adoption influences the placement of techno-social

More information

untitled

untitled Copyright 2010 by Future Architect, Inc. Japan Copyright 2010 by Future Architect, Inc. Japan -2- Copyright 2010 by Future Architect, Inc. Japan Copyright 2010 by Future Architect, Inc. Japan Copyright

More information

Influence of Material and Thickness of the Specimen to Stress Separation of an Infrared Stress Image Kenji MACHIDA The thickness dependency of the temperature image obtained by an infrared thermography

More information

floating horizon algorithm 1 DEM [ 01] [Luebke01] LDI Layered Depth Image [Shade98] DEM Digital Elevation Model Height field 1 10 9

floating horizon algorithm 1 DEM [ 01] [Luebke01] LDI Layered Depth Image [Shade98] DEM Digital Elevation Model Height field 1 10 9 Introduction to Point-based Graphics Tadahiro FUJIMOTO Kouichi KONNO Norishige CHIBA Faculty of Engineering, Iwate University Point-based Graphics Eurographics 2002 2003 [ 01 02 02 03] LOD Level of Detail

More information

<93C18F578B4C8E965F896988E420976D91BC2E6D6364>

<93C18F578B4C8E965F896988E420976D91BC2E6D6364> ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ (a) Model image + field of view (b) Mosaic image (c) Mosaic + Single-dish image ɡ ɡɡ ɡ ɡɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡɡ ɡ ɡ ɡ ɡ ɡ ɡɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡ ɡɡ

More information

proc.dvi

proc.dvi M. D. Wheler Cyra Technologies, Inc. 3 3 CAD albedo Mapping textures on 3D geometric model using reflectance image Ryo Kurazume M. D. Wheler Katsushi Ikeuchi The University oftokyo Cyra Technologies, Inc.

More information

Table 1 Experimental conditions Fig. 1 Belt sanded surface model Table 2 Factor loadings of final varimax criterion 5 6

Table 1 Experimental conditions Fig. 1 Belt sanded surface model Table 2 Factor loadings of final varimax criterion 5 6 JSPE-54-04 Factor Analysis of Relationhsip between One's Visual Estimation and Three Dimensional Surface Roughness Properties on Belt Sanded Surface Motoyoshi HASEGAWA and Masatoshi SHIRAYAMA This paper

More information

Corrections of the Results of Airborne Monitoring Surveys by MEXT and Ibaraki Prefecture

Corrections of the Results of Airborne Monitoring Surveys by MEXT and Ibaraki Prefecture August 31, 2011 Corrections of the Results of Airborne Monitoring Surveys by MEXT and Ibaraki Prefecture The results of airborne monitoring survey by MEXT and Ibaraki prefecture released on August 30 contained

More information

189 2015 1 80

189 2015 1 80 189 2015 1 A Design and Implementation of the Digital Annotation Basis on an Image Resource for a Touch Operation TSUDA Mitsuhiro 79 189 2015 1 80 81 189 2015 1 82 83 189 2015 1 84 85 189 2015 1 86 87

More information

1 2 3 1 34060120 1,00040 2,000 1 5 10 50 2014B 305,000140 285 5 6 9 1,838 50 922 78 5025 50 10 1 2

1 2 3 1 34060120 1,00040 2,000 1 5 10 50 2014B 305,000140 285 5 6 9 1,838 50 922 78 5025 50 10 1 2 0120-563-506 / 9001800 9001700 123113 0120-860-777 163-8626 6-13-1 Tel.03-6742-3111 http://www.himawari-life.co.jp 1 2 3 1 34060120 1,00040 2,000 1 5 10 50 2014B 305,000140 285 5 6 9 1,838 50 922 78 5025

More information

1..FEM FEM 3. 4.

1..FEM FEM 3. 4. 008 stress behavior at the joint of stringer to cross beam of the steel railway bridge 1115117 1..FEM FEM 3. 4. ABSTRACT 1. BackgroundPurpose The occurrence of fatigue crack is reported in the joint of

More information

untitled

untitled DELTA EISCAT FPI 1. 2. 3. FPI OI557.7nm 4. DELTA (Dynamics and Energetics of the Lower Thermosphere in Aurora) In situ DELTA FPI Copyright 2003 Andøya Rocket Range FPI S-310-35 Instrumentation in this

More information

Microsoft Word - Imaris45.N.C.b.N.}.j...A...doc

Microsoft Word - Imaris45.N.C.b.N.}.j...A...doc IMARIS クイックマニュアル Imaris 用 語 用 語 解 説 Voxel ボクセル 3 次 元 デジタルデータを 扱 うときの 最 小 単 位 Volume Pixel(ボリューム ピクセル) デジタルデータを2 次 元 で 扱 うときのピ クセル( 画 素 )に 厚 みを 加 えたもの 3 次 元 で 輝 度 データを 計 測 する ときはボクセルの 輝 度 値 を 使 用 します Channel

More information

<30315F985F95B65F90B490852E696E6464>

<30315F985F95B65F90B490852E696E6464> Modeling for Change by Latent Difference Score Model: Adapting Process of the Student of Freshman at Half Year Intervals Kazuaki SHIMIZU and Norihiro MIHO Abstract The purpose of this paper is to present

More information

第29回日中石炭関係総合会議

第29回日中石炭関係総合会議 1 2 3 4 5 6 闞 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 闞 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69

More information

(3.6 ) (4.6 ) 2. [3], [6], [12] [7] [2], [5], [11] [14] [9] [8] [10] (1) Voodoo 3 : 3 Voodoo[1] 3 ( 3D ) (2) : Voodoo 3D (3) : 3D (Welc

(3.6 ) (4.6 ) 2. [3], [6], [12] [7] [2], [5], [11] [14] [9] [8] [10] (1) Voodoo 3 : 3 Voodoo[1] 3 ( 3D ) (2) : Voodoo 3D (3) : 3D (Welc 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

More information

43 2011 2006 1970 2011 2001 2013 2013 2013 20 20 21 2013 2011 1 760 2012 2013 2013 3 2013 21 1991 21 2002 3 1991 21 20 1991 1991 21 2006 2013 2011 2013 2001 2006 2011 2013 2013 5 2012 12 67 61 20 20130911

More information

16soukatsu_p1_40.ai

16soukatsu_p1_40.ai 2 2016 DATA. 01 3 DATA. 02 4 DATA. 03 5 DATA. 04 6 DATA. 05 7 DATA. 06 8 DATA. 07 9 DATA. 08 DATA. 09 DATA. 10 DATA. 11 DATA. 12 DATA. 13 DATA. 14 10 11 12 13 COLUMN 1416 17 18 19 DATA. 15 20 DATA. 16

More information

2

2 from One 1 2 24 2 3 4 30 4 5 47 13 6 7 34 2 13 8 34.................................. 9 15-1-5 15-1-4 10 11 12 12 13 14 15 A ( 1) A A 2 B B 16 2 2 17 3 C C 18 3 19 ( ) 15 2 5 ( 56 2 16 20 2 5 ) (1) (2)

More information

NKK NEWS 2012

NKK NEWS 2012 2012Spring 42 CONTROLS SINGLE POINT OF CONTROL (S.P.O.C.) Introduction / Index INDEX Module Versions: C / D BECAUSE CONTROL IS LOGIC! www.42controls.com Introduction... 2 Console Desktop Version... 3

More information

untitled

untitled 2M5-24 SM311 SM332 3 4 e30mm 5 e30mm [2M5-24] 0-5 -10-15 -20-150-125-100-75-50 -25 0 25 50 75 100 125 150 0-5 -10-15 -20-150-125-100-75-50 -25 0 25 50 75 100 125 150 0-5 -10-15 -20-150-125-100-75-50 -25

More information

Microsoft PowerPoint - 201409_秀英体の取組み素材(予稿集).ppt

Microsoft PowerPoint - 201409_秀英体の取組み素材(予稿集).ppt 1 2 3 4 5 6 7 8 9 10 11 No Image No Image 12 13 14 15 16 17 18 19 20 21 22 23 No Image No Image No Image No Image 24 No Image No Image No Image No Image 25 No Image No Image No Image No Image 26 27 28

More information

Vol. 42 No MUC-6 6) 90% 2) MUC-6 MET-1 7),8) 7 90% 1 MUC IREX-NE 9) 10),11) 1) MUCMET 12) IREX-NE 13) ARPA 1987 MUC 1992 TREC IREX-N

Vol. 42 No MUC-6 6) 90% 2) MUC-6 MET-1 7),8) 7 90% 1 MUC IREX-NE 9) 10),11) 1) MUCMET 12) IREX-NE 13) ARPA 1987 MUC 1992 TREC IREX-N Vol. 42 No. 6 June 2001 IREX-NE F 83.86 A Japanese Named Entity Extraction System Based on Building a Large-scale and High-quality Dictionary and Pattern-matching Rules Yoshikazu Takemoto, Toshikazu Fukushima

More information

L C -6D Z3 L C -0D Z3 3 4 5 6 7 8 9 10 11 1 13 14 15 16 17 OIL CLINIC BAR 18 19 POWER TIMER SENSOR 0 3 1 3 1 POWER TIMER SENSOR 3 4 1 POWER TIMER SENSOR 5 11 00 6 7 1 3 4 5 8 9 30 1 3 31 1 3 1 011 1

More information

Microsoft Word - .....J.^...O.|Word.i10...j.doc

Microsoft Word - .....J.^...O.|Word.i10...j.doc P 1. 2. R H C H, etc. R' n R' R C R'' R R H R R' R C C R R C R' R C R' R C C R 1-1 1-2 3. 1-3 1-4 4. 5. 1-5 5. 1-6 6. 10 1-7 7. 1-8 8. 2-1 2-2 2-3 9. 2-4 2-5 2-6 2-7 10. 2-8 10. 2-9 10. 2-10 10. 11. C

More information

Microsoft PowerPoint - 大関.ppt

Microsoft PowerPoint - 大関.ppt 太 陽 光 発 電 システムの 発 電 量 予 測 に 関 する 研 究 Output energy forecasting for photovoltaic systems 評 価 システムチーム 大 関 崇 Takashi OOZEKI はじめに ;Introduction PVの 大 量 導 入 時 において, 電 力 系 統 全 体 で, 需 要 電 力 量 を 発 電 電 力 量 を 上

More information

01 DAITO GROUP CSR Report 2014

01 DAITO GROUP CSR Report 2014 DAITO GROUP CSR Report 2014 01 DAITO GROUP CSR Report 2014 DAITO GROUP CSR Report 2014 02 DAITO GROUP CSR Report 2014 03 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 DAITO GROUP CSR Report 2014

More information

untitled

untitled . B to C B to C EC 645 20 3,360 1,740 8,240 3,780 14,840 6,730 26,850 11,870 B to C 44,240 15,150 1. 2. 3. 4. 5. 6. 1. 2. 3. 4. 5. 1. 2. 3. ( Edy Mobile Edy Edy 20675050 179086.9 Edy

More information

2009 1. 2. 3. 4. 5. 2 2009 CONTENTS 4 6 8 TOPIC 01 10 TOPIC 02 11 TOPIC 03 12 TOPIC 04 14 TOPIC 05 15 TOPIC 06 15 TOPIC 07 16 18 18 19 20 21 22 22 22 23 24 25 26 27 27 27 28 29 30 TOPIC 08 16 TOPIC 09

More information

Fig. 1. Horizontal displacement of the second and third order triangulation points accompanied with the Tottori Earthquake of (after SATO, 1973)

Fig. 1. Horizontal displacement of the second and third order triangulation points accompanied with the Tottori Earthquake of (after SATO, 1973) Journal of the Geodetic Society of Japan Vol. 27, No. 3, (1981), pp. 183-191 Research on Fault Movement by means of Aero-Triangulation ( T) (An experiment on the earthquake fault of the Izu-Oshima Kinkai

More information

p01.qxd

p01.qxd 2 s 1 1 2 6 2 POINT 23 23 32 15 3 4 s 1 3 2 4 6 2 7003800 1600 1200 45 5 3 11 POINT 2 7003800 7 11 7003800 8 12 9 10 POINT 2003 5 s 45700 3800 5 6 s3 1 POINT POINT 45 2700 3800 7 s 5 8 s3 1 POINT POINT

More information

untitled

untitled 1 2 3 4 5 6 7 Point 60,000 50,000 40,000 30,000 20,000 10,000 0 29,979 41,972 31,726 45,468 35,837 37,251 24,000 20,000 16,000 12,000 8,000 4,000 0 16,795 22,071 20,378 14 13 12 11 10 0 12.19 12.43 12.40

More information

株主通信:第18期 中間

株主通信:第18期 中間 19 01 02 03 04 290,826 342,459 1,250,678 276,387 601,695 2,128,760 31,096 114,946 193,064 45,455 18,478 10,590 199,810 22,785 2,494 3,400,763 284,979 319,372 1,197,774 422,502 513,081 2,133,357 25,023

More information

1003shinseihin.pdf

1003shinseihin.pdf 1 1 1 2 2 3 4 4 P.14 2 P.5 3 P.620 6 7 8 9 10 11 13 14 18 20 00 P.21 1 1 2 3 4 5 2 6 P7 P14 P13 P11 P14 P13 P11 3 P13 7 8 9 10 Point! Point! 11 12 13 14 Point! Point! 15 16 17 18 19 Point! Point! 20 21

More information

ワタベウェディング株式会社

ワタベウェディング株式会社 1 2 3 4 140,000 100,000 60,000 20,000 0 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 5 6 71 2 13 14 7 8 9 10 11 12 1 2 2 point 1 point 2 1 1 3 point 3 4 4 5 6 point 4 point 5 point 6 13 14 15 16 point 17

More information

株主通信 第16 期 報告書

株主通信 第16 期 報告書 10 15 01 02 1 2 3 03 04 4 05 06 5 153,476 232,822 6,962 19,799 133,362 276,221 344,360 440,112 412,477 846,445 164,935 422,265 1,433,645 26,694 336,206 935,497 352,675 451,321 1,739,493 30,593 48,894 153,612

More information

2003/3 Vol. J86 D II No.3 2.3. 4. 5. 6. 2. 1 1 Fig. 1 An exterior view of eye scanner. CCD [7] 640 480 1 CCD PC USB PC 2 334 PC USB RS-232C PC 3 2.1 2

2003/3 Vol. J86 D II No.3 2.3. 4. 5. 6. 2. 1 1 Fig. 1 An exterior view of eye scanner. CCD [7] 640 480 1 CCD PC USB PC 2 334 PC USB RS-232C PC 3 2.1 2 Curved Document Imaging with Eye Scanner Toshiyuki AMANO, Tsutomu ABE, Osamu NISHIKAWA, Tetsuo IYODA, and Yukio SATO 1. Shape From Shading SFS [1] [2] 3 2 Department of Electrical and Computer Engineering,

More information

3! 3 =! 1)!!! 3! 2)!!! 3

3! 3 =! 1)!!! 3! 2)!!! 3 3 ( ) 21 2015 11 7 3! 3 =! 1)!!! 3! 2)!!! 3 3 3 1) 3 ( 2) 3!!! 3 1.7 ! 3 ( ) ( ) ( ) 3 (3 10 8 ) 3 (3 10 8 ) 9 (9 108) 3D point data!! 3D see-through view !! "! n log n (n: )!! 2! ! "! ---- ----- S.!Tanaka,!K.!Hasegawa,!Y.!Shimokubo,!T.!Kaneko,!T.!Kawamura,!S.!

More information

109 Summary The purpose of this paper is to make clear two points. The first one is the history of understandings of the environmental benefits from agriculture in Japan. In 1971 the first comment on the

More information

16_.....E...._.I.v2006

16_.....E...._.I.v2006 55 1 18 Bull. Nara Univ. Educ., Vol. 55, No.1 (Cult. & Soc.), 2006 165 2002 * 18 Collaboration Between a School Athletic Club and a Community Sports Club A Case Study of SOLESTRELLA NARA 2002 Rie TAKAMURA

More information

(1 ) (2 ) Table 1. Details of each bar group sheared simultaneously (major shearing unit). 208

(1 ) (2 ) Table 1. Details of each bar group sheared simultaneously (major shearing unit). 208 2463 UDC 621.771.251.09 : 621.791.94: 669.012.5 Improvement in Cold Shear Yield of Bar Mill by Computer Control System Koji INAZAKI, Takashi WASEDA, Michiaki TAKAHASHI, and Toshihiro OKA Synopsis: The

More information

SOM SOM(Self-Organizing Maps) SOM SOM SOM SOM SOM SOM i

SOM SOM(Self-Organizing Maps) SOM SOM SOM SOM SOM SOM i 20 SOM Development of Syllabus Vsualization System using Spherical Self-Organizing Maps 1090366 2009 3 5 SOM SOM(Self-Organizing Maps) SOM SOM SOM SOM SOM SOM i Abstract Development of Syllabus Vsualization

More information

HPC可視化_小野2.pptx

HPC可視化_小野2.pptx 大 小 二 生 高 方 目 大 方 方 方 Rank Site Processors RMax Processor System Model 1 DOE/NNSA/LANL 122400 1026000 PowerXCell 8i BladeCenter QS22 Cluster 2 DOE/NNSA/LLNL 212992 478200 PowerPC 440 BlueGene/L 3 Argonne

More information

ï\éÜA4*

ï\éÜA4* Feature Article Imaging of minuscule amounts of chemicals, Scannimg Chemical Microscope --- Increasing analysis information through imaging --- Abstract We have developed a Scanning Chemical Microscope

More information

パナソニック技報

パナソニック技報 Panasonic Technical Journal Vol. 59 No. 2 Nov. 2013 Environmental Resistance Technology of Outdoor Surveillance Camera Takaya Kamimura Izumi Satou Jouji Wada Tamotsu Uchida Yuuya Jikihara Hideki Yasuda

More information

第7章 レンダリング

第7章 レンダリング 7 April 11, 2017 1 / 59 7.1 ( ) CG 3 ( ) 2 / 59 7.2 7.2.1 ( ) 3 (rendering) 1 / (hidden line/surface calculation) a (outer normal algorithm) b Z (Z-buffer algorithm) c (scan-line algorithm) 2 (shading)

More information

miru02_merging.dvi

miru02_merging.dvi 1 PC 2 Geometric and Photometric Integration System for Large Objects Ryusuke Sagawa Ko Nishino Ryo Kurazume Katsushi Ikeuchi The University of Tokyo Kyushu University Some researchers have begun projects

More information

第7章 レンダリング

第7章 レンダリング 7 May 18, 2012 1 / 60 71 ( ) CG 3 ( ) 2 / 60 72 71 ( ) 3 (rendering) 1 / (hidden line/surface calculation) a (outer normal algorithm) b Z (Z-buffer algorithm) c (scan-line algorithm) 2 (shading) a (flat

More information

2 3

2 3 Sample 2 3 4 5 6 7 8 9 3 18 24 32 34 40 45 55 63 70 77 82 96 118 121 123 131 143 149 158 167 173 187 192 204 217 224 231 17 285 290 292 1 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38

More information

A Message From President 2

A Message From President 2 A Message From President 2 Top Information 3 Top Information 4 A View Point 5 Annual Report 2 Financial Highlight 7, 5, 12, 6, 5, 4, 3, 2, 1, 4, 3, 2, 1, 1, 8, 6, 4, 2, 6 5, 2, 8 4, 1,5 6 3, 2, 1, 1, 5

More information

IFAC COPYRIGHT AND ACKNOWLEDGEMENT FOR TRANSLATIONS: Copyright December 2004 by the International Federation of Accountants. All rights reserved. Used with permission. Contact Permissions@ifac.org for

More information

/ 2 ( ) ( ) ( ) = R ( ) ( ) 1 1 1/ 3 = 3 2 2/ R :. (topology)

/ 2 ( ) ( ) ( ) = R ( ) ( ) 1 1 1/ 3 = 3 2 2/ R :. (topology) 3 1 3.1. (set) x X x X x X 2. (space) Hilbert Teichmüller 2 R 2 1 2 1 / 2 ( ) ( ) ( ) 1 0 1 + = R 2 0 1 1 ( ) ( ) 1 1 1/ 3 = 3 2 2/ R 2 3 3.1:. (topology) 3.2 30 3 3 2 / 3 3.2.1 S O S (O1)-(O3) (O1) S

More information

.o...EPDF.p.indd

.o...EPDF.p.indd Social and Environmental report 28 1 2 3 5 7 9 11 12 17 18 19 22 24 25 26 27 28 29 3 2 3 4 5 6 7 4 1 2 5 3 6 8 9 1 1 2 3 4 11 12 1 2 3 4 13 14 1 2 3 4 5 6 7 8 15 16 17 1 2 3 18 19 1 2 3 4 2 21 1 2 3 4

More information

特-3.indd

特-3.indd Development of Automation Technology for Precision Finishing Works Employing a Robot Arm There is demand for the automation of finishing processes that require technical skills in the manufacturing of

More information

光学

光学 Image Recognition for On-Board Cameras and Distance Measurement Using Stereo Camera Takeshi SHIMA Haruki MATONO Shinji KAKEGAWA and Tatsuhiko MONJI Active safety systems for vehicles using outside detection

More information

الجامعة الأردنية : الرسائل الجامعية - بعنوان : إستراتيجية مقترحة لاتخاذ القرار الإداري في مجال إدارة الأزمات للمستوى الجامعي في المملكة العربية السعودية

الجامعة الأردنية : الرسائل الجامعية - بعنوان : إستراتيجية مقترحة لاتخاذ القرار الإداري في مجال إدارة الأزمات للمستوى الجامعي في المملكة العربية السعودية 13 1310 1314 026 01 71 71 71 71 7026 01 71 71 7 19151813 191215 1219181714 1914171514121019 1718 191817151913..6 1 121212151917 1919181811 161018 191410 121913 15141019 13191919 18191117 1817 19 111019..6

More information