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

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

VRSJ-SIG-MR_okada_79dce8c8.pdf

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

25 D Effects of viewpoints of head mounted wearable 3D display on human task performance

14 2 5

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)

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

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

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

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

(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

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

(MIRU2008) HOG Histograms of Oriented Gradients (HOG)

( ), ( ) Patrol Mobile Robot To Greet Passing People Takemi KIMURA(Univ. of Tsukuba), and Akihisa OHYA(Univ. of Tsukuba) Abstract This research aims a

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 +

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

System to Diagnosis Concrete Deterioration with Spectroscopic Analysis IHI IHI IHI The most popular method for inspecting concrete structures for dete

Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information

第62巻 第1号 平成24年4月/石こうを用いた木材ペレット

[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

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]

97-00


24 Depth scaling of binocular stereopsis by observer s own movements

IPSJ SIG Technical Report Vol.2010-CVIM-172 No /5/ Object Tracking Based on Generative Appearance Model 1. ( 1 ) ( 2 ) ( 3 ) 1 3) T

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

1: A/B/C/D Fig. 1 Modeling Based on Difference in Agitation Method artisoc[7] A D 2017 Information Processing

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

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.2013-GN-87 No /3/ Research of a surround-sound field adjustmen system based on loudspeakers arrangement Ak

28 TCG SURF Card recognition using SURF in TCG play video

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

SNS Flickr Flickr Flickr SNS 2. SNS Twitter [2] Flickr [3] [4] Twitter Twitter Flickr Flickr Flickr Flickr Flickr Twitter 1 document 3. Flickr API Fli

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

main.dvi

1..FEM FEM 3. 4.

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

1214_KiyotaCalib_matsusita_fixed2.pdf

IPSJ SIG Technical Report Vol.2012-HCI-149 No /7/20 1 1,2 1 (HMD: Head Mounted Display) HMD HMD,,,, An Information Presentation Method for Weara

,,,,,,,,,,,,,,,,,,, 976%, i

013858,繊維学会誌ファイバー1月/報文-02-古金谷

IPSJ SIG Technical Report Vol.2012-IS-119 No /3/ Web A Multi-story e-picture Book with the Degree-of-interest Extraction Function

日本感性工学会論文誌

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

h1_h4.eps

Present Situation and Problems on Aseismic Design of Pile Foundation By H. Hokugo, F. Ohsugi, A. Omika, S. Nomura, Y. Fukuda Concrete Journal, Vol. 29

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

光学

日立金属技報 Vol.34

Vol.-ICS-6 No.3 /3/8 Input.8.6 y.4 Fig....5 receptive field x 3 w x y Machband w(x =

<30315F836D815B83675F95D08BCB8E812E696E6464>

IPSJ SIG Technical Report Vol.2014-IOT-27 No.14 Vol.2014-SPT-11 No /10/10 1,a) 2 zabbix Consideration of a system to support understanding of f

Sobel Canny i

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

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

23 Fig. 2: hwmodulev2 3. Reconfigurable HPC 3.1 hw/sw hw/sw hw/sw FPGA PC FPGA PC FPGA HPC FPGA FPGA hw/sw hw/sw hw- Module FPGA hwmodule hw/sw FPGA h

SJ-WA35T 2版

IPSJ SIG Technical Report Vol.2009-CVIM-169 No /11/ Stereo by the horizontal rotary movement of the upswing fisheye camera Sat

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

Journal of the Combustion Society of Japan Vol.58 No.185 (2016) ORIGINAL PAPER 火災旋風近傍の流れに関する研究 Flow Around a Fire Whirl *

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

161 J 1 J 1997 FC 1998 J J J J J2 J1 J2 J1 J2 J1 J J1 J1 J J 2011 FIFA 2012 J 40 56

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

21 e-learning Development of Real-time Learner Detection System for e-learning

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)

12 Vol. 12, No Benner 8 ICU 1 2 ICU Krippendorff, K ICU 5

IPSJ SIG Technical Report Vol.2014-EIP-63 No /2/21 1,a) Wi-Fi Probe Request MAC MAC Probe Request MAC A dynamic ads control based on tra

2003/3 Vol. J86 D II No Fig. 1 An exterior view of eye scanner. CCD [7] CCD PC USB PC PC USB RS-232C PC

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

熊本大学学術リポジトリ Kumamoto University Repositor Title 特別支援を要する児童生徒を対象としたタブレット端末 における操作ボタンの最適寸法 Author(s) 竹財, 大輝 ; 塚本, 光夫 Citation 日本産業技術教育学会九州支部論文集, 23: 61-

ActionScript Flash Player 8 ActionScript3.0 ActionScript Flash Video ActionScript.swf swf FlashPlayer AVM(Actionscript Virtual Machine) Windows

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

Table 1. Reluctance equalization design. Fig. 2. Voltage vector of LSynRM. Fig. 4. Analytical model. Table 2. Specifications of analytical models. Fig

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

<30315F985F95B65F90B490852E696E6464>

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

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

塗装深み感の要因解析

b Kaochen- A Karaoke system which changes a singer s face by Yukihiro ODA BA Thesis at Future University Hakodate, 2014 Advis

Modal Phrase MP because but 2 IP Inflection Phrase IP as long as if IP 3 VP Verb Phrase VP while before [ MP MP [ IP IP [ VP VP ]]] [ MP [ IP [ VP ]]]

Kyushu Communication Studies 第2号

PF-ETC1 2版

IPSJ SIG Technical Report Vol.2016-MUS-111 No /5/21 1, 1 2,a) HMM A study on an implementation of semiautomatic composition of music which matc

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


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

1_26.dvi

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

0801391,繊維学会ファイバ12月号/報文-01-西川

27 VR Effects of the position of viewpoint on self body in VR environment

わが国における女性管理職研究の展望 Research on Women in Management Positions in Japan Kieko HORII 5 Abstract Japanese society is struggling with a low percentage of wo

.N..

2007-Kanai-paper.dvi

IPSJ SIG Technical Report NetMAS NetMAS NetMAS One-dimensional Pedestrian Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yam

1 1 tf-idf tf-idf i

016-22_ŒÚ”Ł

58 10

Visit Japan Campaign OD OD 18 UNWTO 19 OD JNTO ODUNWTO 1 1

29 jjencode JavaScript

Transcription:

1,a) 1,b) 1,c) U,,,, The Camera Position Alignment on a Gimbal Head for Fixed Viewpoint Swiveling using a Misalignment Model Abstract: When the camera sets on a gimbal head as a fixed-view-point, it is effective to generate a panoramic image. However if the projection center isn t aligned to the rotation center, the panoramic image contains difference with depth dependencies. By using Zhang s method, camera positions and directions for each swiveling situation are obtained with changing a mounted position of the camera by sliders with swiveling of the gimbal head. A position of the rotation center is estimated from movement of the camera positions. In this paper, we propose a method for it using a misalignment model with only one dimensional changing of the camera position to obtain the two dimentional ideal position for one rotation. Keywords: Fixed viewpoint,swivel camera, Calibration,Gimbal head,panoramic image. 1. 1, 3-9-1 a) r-takeba@monju.fuis.u-fukui.ac.jp b) tokai@u-fukui.ac.jp c) k-sakamoto@monju.fuis.u-fukui.ac.jp c 2015 Information Processing Society of Japan 1

2 2 5 2. 3. 4. 5. 2. 2.1 1 XYZ xyz [1] 2 ) Camera Slider Gimbal head 3. 1 3.1 2.2 3.1.1 Zhang 2 [2] Zhang c 2015 Information Processing Society of Japan 2

3.1.2 U Z 4 U Z 3 5 3 3.2 3.2.1 θ l (1) X d,z d Z z l = 2π θ Xd 2 360 +(Z d z) 2 (1) (2) (1) 1, 2 X 5mm Z 10mm (3) Zhang Z 30 4 U (1) U X d,z d,θ U X X d U U Z Z d U z 5 3.2.2 U (3) Z X U c 2015 Information Processing Society of Japan 3

(1) 1cm 0 12cm 5 X d,z d 30 6(a) θ Y-Z 6(b) Z Y U l = 2π θ Zd 2 360 +(Y d y) 2 (3) Z Z d Y Y d, θ U Y 4. X-Z Y-Z (a) 2816 2112[pixel] (b) 6 7 U 8 l l = 2π 31.7 23.02 +(103.6 z) n 1 360 2 (4) l = (Xi X i 1 ) 2 +(Y i Y i 1 ) 2 (2) i=1 Z 103.6mm X 23.0mm X i Y i i X-Z Z U (1) z 4.1 X-Z X-Z X Y Z Z Z 0cm 12cm 1cm 0 30 5 c 2015 Information Processing Society of Japan 4

7 9 8 U 4.2 Y-Z Y-Z X Z Y Y 0cm 10cm 1cm 0 25 5 9 10 U 10 10 10 11(a) l = 2π 25.9 14.52 +(14.7 y) 360 2 11(b) (5) Y 14.7mm 4.3 10 U X 23.0mm,Y 12(a) 14.7mm,Z 103.6mm 12(b) c 2015 Information Processing Society of Japan 5

情報処理学会研究報告 (a) パノラマ合成画像 (a) パノラマ合成画像 (b) 重複領域の差分画像 (b) 重複領域の差分画像 図 11 校正前のパノラマ合成結果 これらの結果より 校正後の雲台で作成したパノラマ画 像は校正前の雲台で作成したものと比べ 画像上のずれが 大幅に減少していることが分かる しかし 手前の撮影物 図 12 校正後のパノラマ合成結果 できる もしくは カメラの解像度を下げることで チル ト回転においても 44529.5mm 以内の撮影対象物でもずれ なくパノラマ画像の作成が行える には若干のずれが現れている この理由については以下で 述べる パン回転方向校正後に行ったチルト回転方向校正時に求 められた U 字曲線の式から Z 軸方向に 14.5mm 移動さ せた位置が最も雲台に近い位置であることが分かる 本来 ならば パン回転方向の校正後にチルト回転方向の校正を 行えば U 字曲線の極小値は 0mm になるはずである し かし 実際には計測誤差や計算誤差によりこのような値が 残ってしまう したがって 今回求めた校正位置はまだ完全に雲台回転 軸とカメラの光学中心点が重なる位置ではない そのた め 図 12(b) のようなズレが残ったと考えられる このずれをなくすため U 字曲線の極小値を 0mm にす 図 13 光学中心点が 14.5mm ずれている時の厳密性 るのが理想的であるがカメラの焦点距離と撮影対象物まで の距離により無視できる場合がある (付録 A.1 を参照) 図 13 は本研究で使用した解像度 (2816 2112) で カ メラ間が 14.5mm ずれている設定での 被写体距離と画素 ズレ量の関係を表したグラフである このことから チルト回転においては 44529.5mm 以上離 れた所にある撮影対象物でもずれなくパノラマ画像が作成 c 2015 Information Processing Society of Japan 6

5. U U A 1 (2816 2112) 3mm 9213mm ( ) 143 105, 143 204 [1] T. Wada and T. Matsuyama, Appearance Sphere: Background Model for Pan-Tilt-Zoom Camera, Proc. of 13th ICPR, pp.a-718-a-722, 1996. [2] Z.Zhang, A flexible new technique for camera calibration, IEEE Trans. PAMI, Vol.22, No.11 pp.1330-1334, 2000. [3] R.Takeba,T.Shibata,S.Tokai,H.Hase A Method if Camera Position Alignment in a Gimbal Head for Fixed Viewpoint Swiveling, IWAIT2013,1C-4,2013. A.1 d d = bf Z (A.1) b f Z b Z f 5mm 15351mm 7mm 21497mm A 1 c 2015 Information Processing Society of Japan 7