miru2006_cr.dvi
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- かずまさ みやくぼ
- 5 years ago
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1 y;yy yy y y;yy yy y;yy y yy NEC yftomoka-s,sei-i,kanbara,yokoyag@is.naist.jp, yyiketani@cp, n-nakajima@ay.jp.nec.com (structure from motion), structure from motion,,, Video Mosaicing for Curved Documents Based on Structure from Motion Tomokazu SATO y;yy, Akihiko IKETANI yy, Sei IKEDA y, Masayuki KANBARA y;yy, Noboru NAKAJIMA yy,andnaokazu YOKOYA y;yy y Nara Institute of Science and Technology, Takayama-cho, Ikoma-shi, Nara, Japan yy Internet System Lab., NEC, , Takayama-cho, Ikoma-shi, Nara, Japan yftomoka-s,sei-i,kanbara,yokoyag@is.naist.jp, yyiketani@cp, n-nakajima@ay.jp.nec.com Abstract A number of methods for video mosaicing have already been investigated. However, these methods often assume that the target object is flat or very far from the camera to avoid the disparity problem. In this report, we proposeanovel video mosaicing method for curved documents based on 3-D reconstruction. With the proposed method, the mosaic image of geometrically restored target document is generated, even if the document has a curved surface. Experiments on curved documents have shown the feasibility of the proposed method. Key words video mosaicing, structure from motion, shape estimation, feature tracking, camera parameter estimation 1. ( ) 1(a)
![(a) (b) (c) 1 [1], [2] 1(b)](/docs-images/91/105231421/images/2-0.jpg "Brown [3] Yamashita [4]")
![NURBS Cao [5] Brown [6] 2 (](/docs-images/91/105231421/images/2-1.jpg ") [7] [11] Homography.")
![Homography Homography [11]](/docs-images/91/105231421/images/2-2.jpg "1(c) [12] [13] [11]")
2 (a) (b) (c) 1 [1], [2] 1(b) Brown [3] Yamashita [4] NURBS Cao [5] Brown [6] 2 ( ) [7] [11] Homography. Homography Homography [11] 1(c) [12] [13] [11] (structure from motion)
3 PDA (A) Initial 3-D reconstruction by feature tracking (B) Parameter refinement and target shape estimation (a) Detection of reappearing features (b) Global optimization (c) Surface fitting to 3D point cloud Iterate until convergence (C) Mosaic image generation structure from motion (A) (B) (C) (A) (C) 2. 1 S p =(x p;y p;z p) f x fp =(u fp ;v fp ) f M f S p x fp (au fp ;av fp ;a) T = M f (x p;y p;z p; 1) T ; (1) a x fp 1 ^x fp =(^u fp ; ^v fp ) (,,, ) x fp f p x 0 fp =(u 0 fp;vfp) 0, (1) S p x fp f p E fp E fp = jx fp x 0 fpj 2 (2) 2. 2 M f S p ( (A)) [14] M f 0 p S p (u 1p;v 1p; 1) (B) (f >1) M f ( ) Harris [15] RANSAC [16] ( ) (u 0 fp;vfp) 0 S p =(x p;y p;z p) M P f (2) p E fp Levenberg-Marquadt p S p ( ) P f p Eip i=1 S p =(x p;y p;z p) ( ) [14] M f S p
4 3-D D points of features Compensate for Distortion Matching n m Vmin: direction of minimum principal curvatures (i) (ii) (iii) (iv) 3 ; (i), (ii), (iii), (iv) 2. 3 ( (B)). 2(B) (a) (b) (c) (a) (c) (2) (a) (c) (i) 3(iii) 4 Plane P Projected points V2 Vmax: direction of maximum principal curvatures Vmin: Normal of projection plane V1: first principal direction of projected points y = f (x) (a) (c) [17] E all = X f X p E fp (3) (a) E fp 3(ii) (b) 1 4 (b) p S p R p R p z = ax 2 + bxy + cy 2 + dx + ey + f (4)
5 1 0 V min =(vm x;vm y;vm z) V min P (x; y; z) = vm xx + vm yy + vm zz = 0 S p P V1 =(v1 x;v1 y;v1 z) V1 V min V2 =(v2 x;v2 y;v2 z)=v1 V min S p V1; V2 (μx; μy) ψ! ψ! μx p V1 = S p (5) μy p V2 (μx; μy) (a 0; ;a m) μy = f(μx) = mx i=0 a iμx i (6) AIC [18] m (a) 2. 4 ( (C)) (m; n), (μx;f(μx); μz) (m; n) =( Z μx 0 r 1+f d dx f(x)g2 dx; μz) (7) (7) (m; n) (μx; f(μx); μz). 0 au f av f a 1 0 C A = M f V1 V2 V min 1 C A T 0 μx f(μx) μz 1 C A (8) ( ) 90 (m; n) I(m; n) I(m; n) = P 1 f W f X f W f I f (u f ;v f ) (9) W f = jcos f j (10) I f (u f ;v f ) f (u f ;v f ) f (m; n) (μx;f(μx); μz) f ( ) (m; n) m m (m; n) I(m; n) I new(m; n). I new(m; n) = I max I(m; n) max(i(m + u; n + v); 8(u; v) 2 W ) (11) W ( ) W I max ( 255) W 3.
![VGA, 15fps) Tsai [19]](/docs-images/91/105231421/images/6-6.jpg "( ) 2m 3.")
6 5 8 1st frame 100th frame 200th frame 6 ( ) (a) before shading removal (a) top view (b) side view 7 ( ) PC(Pentium Xeon 3.2GHz, Memory 2GB), IEEE1394 (Aplux C104T, VGA, 15fps) Tsai [19] ( ) 2m cm 200 VGA (b) after shading removal 9 ( ) 3 8 AIC [18] 5 4 ( : ) 9 (a) (b) (A) 27 ( 7.4fps) (B) 71 (C)
7 , (b) 90 1 [ : ( : )] target average maximum minimum std.dev. left side 356.1(100.0) 362.0(101.7) 349.0(98.0) 3.19(0.90) right side 353.6(100.0) 360.0(101.8) 348.0(98.4) 2.56(0.72) 10 1st frame 50th frame 100th frame 11 ( ) 2 [ : ] target average maximum minimum std.dev. left side right side VGA AIC 2 ( : ) ( ) 13 ( ) (6) 2
8 4. 1 [1] T. Wada, H. Ukida and T. Matsuyama: Shape from Shading with Interreflections Under a Proximal Light Source: Distortion-Free Copying of an Unfolded Book," Int. J. of Computer Vision, Vol. 24, No. 2, pp , [2] Z. Zhang, C. L. Tan and L. Fan: Restoration of Curved Document Images through 3D Shape Modeling," Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Vol. 1, pp , [3] M. S. Brown and W. B. Seales: Document Restoration Using 3D Shape: A GeneralDeskewing Algorithm for Arbitrarily Warped Documents," Proc. Int. Conf. on Computer Vision, Vol. II, pp , [4] A. Yamashita, A. Kawarago, T. Kaneko and K. Miura: Shape Reconstruction and Image Restoration for Non-flat Surfaces of Documents with a Stereo Vision System," Proc. Int. Conf. on Pattern Recognition, Vol. 1, pp , [5] H. Cao, X. Ding and C. Liu: A Cylindrical Surface Model to Rectify the Bound Document Image," Proc. Int. Conf. on Computer Vision, Vol. 1, pp , [6] M. S. Brown and Y. C. Tsoi: Undistorting Imaged Paint Materials using Boundary Information," Proc. Asian Conf. on Computer Vision, Vol. 1, pp , [7] R. Szeliski: Image Mosaicing for Tele-Reality Applications," Proc. IEEE Workshop on Applications of Computer Vision, pp , [8] N. Chiba, H. Kano, M. Higashihara, M. Yasuda and M. Osumi: Feature-based Image Mosaicing," Proc. IAPR Workshop on Machine Vision Applications, pp. 5 10, [9] C. T. Hsu, T. H. Cheng, R. A. Beuker and J. K. Hong: Feature-based Video Mosaicing," Proc. IEEE Int. Conf. on Image Processing, Vol. II, pp , [10] U. Bhosle, S. Chaudhuri and S. D. Roy: A Fast Method for Image Mosaicing Using Geometric Hashing," IETE J. of Research, SpecialIssue on VisualMedia Processing, Vol. 48, No. 3-4, pp , [11],,,,, : ", D-II), Vol. J88-D-II, No. 8, pp , [12] P. Grattoni and M. Spertino: A Mosaicing Approach for the Acquisition and Representation of 3D Painted Surfaces for Conservation and Restoration purpose," Machine Vision and Applications, Vol. 15, No. 1, pp. 1 10, [13] W. Puech, A. G. Bors, J. M. Chassery and I. Pitas: Mosaicing of Paintings on Curved Surfaces," Proc. IEEE Workshop on Applications of Computer Vision, pp , [14] T. Sato, M. Kanbara, N. Yokoya and H. Takemura: Dense 3-D Reconstruction of an Outdoor Scene by Hundredsbaseline Stereo Using a Hand-held Video Camera," Int. J. of Computer Vision, Vol. 47, No. 1-3, pp , [15] C. Harris and M. Stephens: A Combined Corner and Edge Detector," Proc. Alvey Vision Conf., pp , [16] M. A. Fischler and R. C. Bolles: Random Sample Consensus: A Paradigm for ModelFitting with Applications to Image Analysis and Automated Cartography," Communications of the ACM, Vol. 24, No. 6, pp , [17] B. Triggs, P. McLauchlan, R. Hartley and A. Fitzgibbon: Bundle Adjustment A Modern Synthesis, pp , LNCS, Springer Verlag, [18] K. Kanatani: Geometric Information Criterion for Model Selection," Int. J. of Computer Vision, Vol. 26, No. 3, pp , [19] R. Y. Tsai: An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision," Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pp , 1986.
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.
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ステレオ計測と多項式曲面表現を利用した歪曲形状書籍画像の歪み補正 Restoration of Distorted Document Images by Using Stereo Measurement and Polynomial Surface Representation 田中友 鈴木優輔 山下淳 金子透 uu Tanaka, usuke Suzuki, Atushi amashita and
VRSJ-SIG-MR_okada_79dce8c8.pdf
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. 630-0192 8916-5 E-mail: {kaduya-o,takafumi-t,goshiro,uranishi,miyazaki,kato}@is.naist.jp,.,,.,,,.,,., CG.,,,
28 Horizontal angle correction using straight line detection in an equirectangular image
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![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](/thumbs/42/22941906.jpg "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,
Fig Measurement data combination. 2 Fig. 2. Ray vector. Fig (12) 1 2 R 1 r t 1 3 p 1,i i 2 3 Fig.2 R 2 t 2 p 2,i [u, v] T (1)(2) r R 1 R 2
![Fig Measurement data combination. 2 Fig. 2. Ray vector. Fig (12) 1 2 R 1 r t 1 3 p 1,i i 2 3 Fig.2 R 2 t 2 p 2,i [u, v] T (1)(2) r R 1 R 2](/thumbs/93/113464882.jpg "Fig Measurement data combination. 2 Fig. 2. Ray vector. Fig (12) 1 2 R 1 r t 1 3 p 1,i i 2 3 Fig.2 R 2 t 2 p 2,i [u, v] T (1)(2) r R 1 R 2")
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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
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
![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](/thumbs/92/110416683.jpg "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")
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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
左カメラ左光源 Z Y 書籍 右カメラ 右光源 X-Y Z X 1: 2 [9 12] [12] NURBS 1 NURBS X-Y [13,14] Hough [15] [13, 14] [15] Structure from motion NURB
![左カメラ左光源 Z Y 書籍 右カメラ 右光源 X-Y Z X 1: 2 [9 12] [12] NURBS 1 NURBS X-Y [13,14] Hough [15] [13, 14] [15] Structure from motion NURB](/thumbs/91/105231415.jpg "左カメラ左光源 Z Y 書籍 右カメラ 右光源 X-Y Z X 1: 2 [9 12] [12] NURBS 1 NURBS X-Y [13,14] Hough [15] [13, 14] [15] Structure from motion NURB")
Correction of Distorted Document Images Using a Stereo Vision System,, Yusuke SUZUKI Atsushi YAMASHITA and Toru KANEKO : {f0630042,tayamas,tmtkane}@ipc.shizuoka.ac.jp 1 [4,5] [1] 3 1 OCR 3 2 3 3 Shape
(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
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22 A person recognition using color information 1110372 2011 2 13 ,,.,.,,.,.,.,.,,.,..,,,, i Abstract A person recognition using color information Tatsumo HOJI Recently, for the purpose of collection of
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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
(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
![(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](/thumbs/75/72066128.jpg "(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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Partial Copy Detection of Line Drawings from a Large-Scale Database Weihan Sun, Koichi Kise Graduate School of Engineering, Osaka Prefecture University E-mail: sunweihan@m.cs.osakafu-u.ac.jp, kise@cs.osakafu-u.ac.jp
Sobel Canny i
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27 AR
27 AR 28 2 19 12111002 AR AR 1 3 1.1....................... 3 1.1.1...................... 3 1.1.2.................. 4 1.2............................ 4 1.2.1 AR......................... 5 1.2.2......................
本文6(599) (Page 601)
(MIRU2008) 2008 7 525 8577 1 1 1 E-mail: matsuzaki@i.ci.ritsumei.ac.jp, shimada@ci.ritsumei.ac.jp Object Recognition by Observing Grasping Scene from Image Sequence Hironori KASAHARA, Jun MATSUZAKI, Nobutaka
Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L
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14 2 5
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[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
![[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](/thumbs/93/112070099.jpg "[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")
1,a) 1,b) 1,c) 2012 11 8 2012 12 18, 2013 1 27 WEB Ruby Removal Filters Using Genetic Programming for Early-modern Japanese Printed Books Taeka Awazu 1,a) Masami Takata 1,b) Kazuki Joe 1,c) Received: November
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(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](/thumbs/65/54056306.jpg "(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")
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![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 +](/thumbs/81/83701592.jpg "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 +")
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Fig. 2 Signal plane divided into cell of DWT Fig. 1 Schematic diagram for the monitoring system
Study of Health Monitoring of Vehicle Structure by Using Feature Extraction based on Discrete Wavelet Transform Akihisa TABATA *4, Yoshio AOKI, Kazutaka ANDO and Masataka KATO Department of Precision Machinery
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1 1 1 (a) (b) imperceptible A Realtime and Adaptive Technique for Projection onto Non-Flat Surfaces Using a Mobile Projector Camera System Eiji Seki, 1 Dao Vinh Ninh 1 and Masanori Sugimoto 1 In this paper,
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Random Forests 2013 3 A Graduation Thesis of College of Engineering, Chubu University Proposal of an efficient feature selection using the contribution rate of Random Forests Katsuya Shimazaki [1] SBS
Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).
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
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 1 1 2 DCRA 1. 1.1 1) 1 Tactile Interface with Air Jets for Floating Images Aya Higuchi, 1 Nomin, 1 Sandor Markon 1 and Satoshi Maekawa 2 The new optical device DCRA can display floating images in free
Real AdaBoost HOG 2009 3 A Graduation Thesis of College of Engineering, Chubu University Efficient Reducing Method of HOG Features for Human Detection based on Real AdaBoost Chika Matsushima ITS Graphics
23 Study on Generation of Sudoku Problems with Fewer Clues
23 Study on Generation of Sudoku Problems with Fewer Clues 1120254 2012 3 1 9 9 21 18 i Abstract Study on Generation of Sudoku Problems with Fewer Clues Norimasa NASU Sudoku is puzzle a kind of pencil
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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
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1, 1,2, 1 Hammering Test with Image and Sound Signal Processing Atsushi YAMASHITA 1, Takahiro HARA 1,2 and Toru KANEKO 1 1 Department of Mechanical Engineering, Shizuoka University. 2 Mitsubishi Electric.
形状変形による古文書画像のシームレス合成
Use of Shape Deformation to Seamlessly Stitch Historical Document Images Wei Liu Wei Fan Li Chen Sun Jun あらまし 1 2 Abstract In China, efforts are being made to preserve historical documents in the form
塗装深み感の要因解析
17 Analysis of Factors for Paint Depth Feeling Takashi Wada, Mikiko Kawasumi, Taka-aki Suzuki ( ) ( ) ( ) The appearance and quality of objects are controlled by paint coatings on the surfaces of the objects.
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THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.,, 464 8601 470 0393 101 464 8601 E-mail: matsunagah@murase.m.is.nagoya-u.ac.jp, {ide,murase,hirayama}@is.nagoya-u.ac.jp,
情報処理学会研究報告 IPSJ SIG Technical Report Vol.2014-GN-90 No.6 Vol.2014-CDS-9 No.6 Vol.2014-DCC-6 No /1/23 Bullet Time 1,a) 1 Bullet Time Bullet Time
Bullet Time 1,a) 1 Bullet Time Bullet Time Generation Technique and Eveluation on High-Resolution Bullet-Time Camera Work Ryuuki Sakamoto 1,a) Ding Chen 1 Abstract: The multi-camera environment have been
24 Depth scaling of binocular stereopsis by observer s own movements
24 Depth scaling of binocular stereopsis by observer s own movements 1130313 2013 3 1 3D 3D 3D 2 2 i Abstract Depth scaling of binocular stereopsis by observer s own movements It will become more usual
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1 1 1 1 SPEC CPU 2000 EQUAKE 1.6 50 500 A Parallelizing Compiler Cooperative Multicore Architecture Simulator with Changeover Mechanism of Simulation Modes GAKUHO TAGUCHI 1 YOUICHI ABE 1 KEIJI KIMURA 1
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Bulletin of Japan Association for Fire Science and Engineering Vol. 62. No. 1 (2012) Development of Two-Dimensional Simple Simulation Model and Evaluation of Discharge Ability for Water Discharge of Firefighting
情報処理学会研究報告 IPSJ SIG Technical Report Vol.2013-CVIM-186 No /3/15 EMD 1,a) SIFT. SIFT Bag-of-keypoints. SIFT SIFT.. Earth Mover s Distance
EMD 1,a) 1 1 1 SIFT. SIFT Bag-of-keypoints. SIFT SIFT.. Earth Mover s Distance (EMD), Bag-of-keypoints,. Bag-of-keypoints, SIFT, EMD, A method of similar image retrieval system using EMD and SIFT Hoshiga
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GPS GPS solve this problem, we propose ()novel model about GPS positioning which enables more robust estimation with extended bundle adjustment, and ()outlier removal for GPS positioning using video information.
20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow
20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 1115084 2009 3 5 3.,,,.., HCI(Human Computer Interaction),.,,.,,.,.,,..,. i Abstract Method for Recognizing Expression Considering
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22 Web Research of a Web search support system based on individual sensitivity 1135117 2011 2 14 Web Web Web Web Web, i Abstract Research of a Web search support system based on individual sensitivity
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SNS 1,a) 2 3 3 2012 3 30, 2012 10 10 SNS SNS Development of Firefighting Knowledge Succession Support SNS in Tokyo Fire Department Koutarou Ohno 1,a) Yuki Ogawa 2 Hirohiko Suwa 3 Toshizumi Ohta 3 Received:
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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
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. E-mail: {ytamura,takai,tkato,tm}@vision.kuee.kyoto-u.ac.jp Abstract Current Wave Pattern Analysis for Anomaly
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a) Change Detection Using Joint Intensity Histogram Yasuyo KITA a) 2 (0 255) (I 1 (x),i 2 (x)) I 2 = CI 1 (C>0) (I 1,I 2 ) (I 1,I 2 ) 2 1. [1] 2 [2] [3] [5] [6] [8] Intelligent Systems Research Institute,
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社団法人人工知能学会 Japanese Society for Artificial Intelligence 人工知能学会研究会資料 JSAI Technical Report SIG-Challenge-B3 (5/5) RoboCup SSL Humanoid A Proposal and its Application of Color Voxel Server for RoboCup SSL
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Vol.2, No.x, April 2015, pp.xx-xx ISSN xxxx-xxxx 2015 4 30 2015 5 25 253-8550 1100 Tel 0467-53-2111( ) Fax 0467-54-3734 http://www.bunkyo.ac.jp/faculty/business/ 1 [1, 2, 3, 4, 5, 8, 9, 10, 12, 15] The
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Kochi University of Technology Aca Title jjencode で難読化された JavaScript の検知 Author(s) 中村, 弘亮 Citation Date of 2018-03 issue URL http://hdl.handle.net/10173/1975 Rights Text version author Kochi, JAPAN http://kutarr.lib.kochi-tech.ac.jp/dspa
IPSJ SIG Technical Report Taubin Ellipse Fitting by Hyperaccurate Least Squares Yuuki Iwamoto, 1 Prasanna Rangarajan 2 and Kenichi Kanatani
1 2 1 2 Taubin Ellipse Fitting by Hyperaccurate Least Squares Yuuki Iwamoto, 1 Prasanna Rangarajan 2 and Kenichi Kanatani 1 This paper presents a new method for fitting an ellipse to a point sequence extracted
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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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Vol1-CVIM-172 No.7 21/5/27 1 Proposal on Ringing Detector for Image Restoration Chika Inoshita, Yasuhiro Mukaigawa and Yasushi Yagi 1 A lot of methods have been proposed for restoring blurred images due
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200 3 A Graduation Thesis of College of Engineering, Chubu University Keypoint Matching of Range Data from Features of Shape and Appearance Yohsuke Murai 1 1 2 2.5D 3 2.1 : : : : : : : : : : : : : : :
A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member
A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member (University of Tsukuba), Yasuharu Ohsawa, Member (Kobe
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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
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1,a) 2,b) 4,c) 3,d) 4,e) Web A Review Supporting System for Whiteboard Logging Movies Based on Notes Timeline Taniguchi Yoshihide 1,a) Horiguchi Satoshi 2,b) Inoue Akifumi 4,c) Igaki Hiroshi 3,d) Hoshi
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19 Development of moving image delivery system for elementary school 1080337 2008 3 10 Web Basic Web SAS-2 Web SAS-2 i Abstract Development of moving image delivery system for elementary school Ayuko INOUE
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Vol. 44 No. SIG 9(CVIM 7) July 2003, Robby T. Tan, 1 Estimating Illumination Position, Color and Surface Reflectance Properties from a Single Image Kenji Hara,, Robby T. Tan, Ko Nishino, Atsushi Nakazawa,
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24 SURF Recognition of Facial Expression Based on SURF 1130402 2013 3 1 SURF,,., 55%,.,., SURF(Speeded Up Robust Features), 4 (,,, ), SURF.,, 84%, 96%, 28%, 32%.,,,. SURF, i Abstract Recognition of Facial
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20 Individual Recognition using positions of facial parts 1115081 2009 3 5 ,,,,,,,,,,,,,,,,,,, 976%, i Abstract Individual Recognition using positions of facial parts YOSHIHIRO Arisawa A facial recognition
IPSJ SIG Technical Report Vol.2015-MUS-107 No /5/23 HARK-Binaural Raspberry Pi 2 1,a) ( ) HARK 2 HARK-Binaural A/D Raspberry Pi 2 1.
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1,,.,.. Maximum Likelihood Estimation for Geometric Fitting Yasuyuki Sugaya 1 Geometric fitting, the problem which estimates a geometric model of a scene from extracted image data, is one of the most fundamental
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17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System
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27 VR Effects of the position of viewpoint on self body in VR environment
27 VR Effects of the position of viewpoint on self body in VR environment 1160298 2015 2 25 VR (HMD), HMD (VR). VR,.. HMD,., VR,.,.,,,,., VR,. HMD VR i Abstract Effects of the position of viewpoint on
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25 Removal of the fricative sounds that occur in the electronic stethoscope
25 Removal of the fricative sounds that occur in the electronic stethoscope 1140311 2014 3 7 ,.,.,.,.,.,.,.,,.,.,.,.,,. i Abstract Removal of the fricative sounds that occur in the electronic stethoscope
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219 (2004.11.05) 219-4 Development of a 3D Range Sensor Based on Equiphase Light-Section Method KUMAGAI Masaaki * *Tohoku Gakuin University : (Vision sensor), (3-D range sensor), (Light-section method),
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1 1 1 2009 2 ( ) 600 1 2 1 2 RFID PC Practical Verification of Evacuation Guidance Based on Pedestrian Traffic Measurement Tomohisa Yamashita, 1 Shunsuke Soeda 1 and Noda Itsuki 1 In this paper, we report