9.10.5 Shape and Motion from Blur, Motion Blur

Chapter Contents (Back)
Blur. Motion Blur.
See also Restoration from Blurred Images, Motion Blur.

Myles, Z.[Zarina], da Vitoria Lobo, N.[Niels],
Recovering Affine Motion and Defocus Blur Simultaneously,
PAMI(20), No. 6, June 1998, pp. 652-658.
IEEE DOI 9807
BibRef
Earlier: CVPR96(756-763).
IEEE DOI Using optical flow. BibRef

Zhang, Y.N.[Ya-Ni], Wen, C.Y.[Chang-Yun], Zhang, Y.[Ying],
Estimation of motion parameters from blurred images,
PRL(21), No. 5, May 2000, pp. 425-433. 0005

See also new focus measure method using moments, A. BibRef

Zhang, Y.N.[Ya-Ni], Wen, C.Y.[Chang-Yun], Zhang, Y.[Ying],
Simultaneously Recovering Affine Motion and Defocus Blur Using Moments,
ICPR00(Vol III: 873-876).
IEEE DOI 0009
BibRef

Deschźnes, F., Ziou, D., Fuchs, P.,
An unified approach for a simultaneous and cooperative estimation of defocus blur and spatial shifts,
IVC(22), No. 1, January 2004, pp. 35-57.
Elsevier DOI 0401
defocus blur and spatial shifts (stereo disparities, two-dimensional (2D) motion, and/or zooming disparities) BibRef

Favaro, P.[Paolo], Soatto, S.[Stefano],
3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur,
Springer2007, ISBN 978-1-84628-176-1.
WWW Link. Code, Motion Blur. For implementations of relevant algorithms, test data and demos:
WWW Link.
See also Geometric Approach to Shape from Defocus, A. BibRef 0700

Favaro, P., Soatto, S.,
A variational approach to scene reconstruction and image segmentation from motion-blur cues,
CVPR04(I: 631-637).
IEEE DOI 0408
BibRef

Favaro, P.[Paolo], Soatto, S.[Stefano], Burger, M.[Martin], Osher, S.J.[Stanley J.],
Shape from Defocus via Diffusion,
PAMI(30), No. 3, March 2008, pp. 518-531.
IEEE DOI 0801
BibRef
Earlier: A1, A3, A2:
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion,
ECCV04(Vol I: 257-269).
Springer DOI 0405
BibRef

Caglioti, V.[Vincenzo], Giusti, A.[Alessandro],
Recovering ball motion from a single motion-blurred image,
CVIU(113), No. 5, May 2009, pp. 590-597.
Elsevier DOI 0904
BibRef
Earlier: A2, A1:
Isolating Motion and Color in a Motion Blurred Image,
BMVC07(xx-yy).
PDF File. 0709
Ball motion recovery; Ball trajectory from streak; Motion blur; Contour detection in motion-blurred images; Canal surface; Single image 3D reconstruction BibRef

Caglioti, V.[Vincenzo], Giusti, A.[Alessandro],
On the Apparent Transparency of a Motion Blurred Object: Extracting information from blurred smears,
IJCV(86), No. 2-3, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef

Boracchi, G.[Giacomo], Caglioti, V.[Vincenzo], Giusti, A.[Alessandro],
Ball Position and Motion Reconstruction from Blur in a Single Perspective Image,
CIAP07(87-92).
IEEE DOI 0709
BibRef

Boracchi, G.[Giacomo], Caglioti, V.[Vincenzo],
Corner Displacement from Motion Blur,
CIAP07(589-594).
IEEE DOI 0709
BibRef

Boracchi, G.[Giacomo],
Estimating the 3D direction of a translating camera from a single motion-blurred image,
PRL(30), No. 7, 1 May 2009, pp. 671-681.
Elsevier DOI 0904
Camera motion estimation; Motion blur; Spatially-variant blur; Blurred image analysis; Blur Estimation; Radial blur BibRef

Chandramouli, P.[Paramanand], Rajagopalan, A.N.[Ambasamudram N.],
Depth From Motion and Optical Blur With an Unscented Kalman Filter,
IP(21), No. 5, May 2012, pp. 2798-2811.
IEEE DOI 1204
BibRef
Earlier:
Unscented transformation for depth from motion-blur in videos,
VAM10(38-44).
IEEE DOI 1006
BibRef
And:
Inferring Image Transformation and Structure from Motion-blurred Images,
BMVC10(xx-yy).
HTML Version. 1009

See also Non-Uniform Deblurring in HDR Image Reconstruction. BibRef

Chandramouli, P.[Paramanand], Rajagopalan, A.N.[Ambasamudram N.],
Shape from Sharp and Motion-Blurred Image Pair,
IJCV(107), No. 3, May 2014, pp. 272-292.
WWW Link. 1404
BibRef
Earlier:
Non-uniform Motion Deblurring for Bilayer Scenes,
CVPR13(1115-1122)
IEEE DOI 1309
BibRef

Rao, M.P.[M. Purnachandra], Rajagopalan, A.N., Seetharaman, G.[Guna],
Inferring Plane Orientation from a Single Motion Blurred Image,
ICPR14(2089-2094)
IEEE DOI 1412
Cameras BibRef

Vasu, S., Rajagopalan, A.N.[Ambasamudram N.],
From Local to Global: Edge Profiles to Camera Motion in Blurred Images,
CVPR17(558-567)
IEEE DOI 1711
Cameras, Estimation, Image edge detection, Minimization, Motion estimation, Radon, Silicon BibRef

Sun, J.[Jian], Ponce, J.[Jean],
Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation,
IJCV(120), No. 2, November 2016, pp. 111-133.
Springer DOI 1609
BibRef
Earlier:
Learning Discriminative Part Detectors for Image Classification and Cosegmentation,
ICCV13(3400-3407)
IEEE DOI 1403
BibRef


Pham, B.D.[Bang-Dang], Tran, P.[Phong], Tran, A.[Anh], Pham, C.[Cuong], Nguyen, R.[Rang], Hoai, M.[Minh],
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering,
CVPR23(9843-9852)
IEEE DOI 2309
BibRef

Kotera, J., Rozumnyi, D., Šroubek, F., Matas, J.G.,
Intra-Frame Object Tracking by Deblatting,
VOT19(2300-2309)
IEEE DOI 2004
cameras, feature extraction, image restoration, image segmentation, image sequences, motion estimation, object detection, blur BibRef

Scheerlinck, C., Rebecq, H., Gehrig, D., Barnes, N., Mahony, R.E., Scaramuzza, D.,
Fast Image Reconstruction with an Event Camera,
WACV20(156-163)
IEEE DOI 2006
Image reconstruction, Cameras, Tensile stress, Graphics processing units, Brightness, Convolutional codes, Sensors BibRef

Stoffregen, T., Gallego, G., Drummond, T., Kleeman, L., Scaramuzza, D.,
Event-Based Motion Segmentation by Motion Compensation,
ICCV19(7243-7252)
IEEE DOI 2004
cameras, image segmentation, motion compensation, bioinspired sensors, motion blurring, Robot vision systems BibRef

Tm, N., Rengarajan, V., Ambasamudram, R.,
Semi-Supervised Learning of Camera Motion from A Blurred Image,
ICIP18(803-807)
IEEE DOI 1809
Cameras, Training, Kernel, Motion estimation, Estimation, Cost function, Task analysis, Camera motion estimation, deep neural networks BibRef

Gong, D., Yang, J., Liu, L., Zhang, Y., Reid, I., Shen, C., van den Hengel, A.J.[Anton J.], Shi, Q.,
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur,
CVPR17(3806-3815)
IEEE DOI 1711
Cameras, Computational modeling, Deconvolution, Estimation, Image restoration, Kernel, Training BibRef

Shi, X., Kang, K., Cao, Y.,
An iterative method for optical flow estimation with motion blur,
VCIP16(1-4)
IEEE DOI 1701
Adaptive optics BibRef

Gast, J., Sellent, A., Roth, S.,
Parametric Object Motion from Blur,
CVPR16(1846-1854)
IEEE DOI 1612
BibRef

Zhen, R.[Ruiwen], Stevenson, R.L.[Robert L.],
Motion blur kernel estimation using noisy inertial data,
ICIP14(4602-4606)
IEEE DOI 1502
Accelerometers BibRef

Couzinie-Devy, F.[Florent], Sun, J.[Jian], Alahari, K.[Karteek], Ponce, J.[Jean],
Learning to Estimate and Remove Non-uniform Image Blur,
CVPR13(1075-1082)
IEEE DOI 1309
Defocus blur; Motion blur; Non-uniform deblurring; Segmentation BibRef

Mohan, A., Lanman, D., Hiura, S., Raskar, R.,
Image destabilization: Programmable defocus using lens and sensor motion,
ICCP09(1-8).
IEEE DOI 1208
BibRef

Viet, H.Q.H.[Huynh Quang Huy], Sato, M.[Makoto], Tanaka, H.T.[Hiromi T.],
Motion from Focus,
ICPR06(III: 5-10).
IEEE DOI 0609
BibRef

Wang, Y.F., and Liang, P.[Ping],
3D Shape and Motion Analysis from Image Blur and Smear: A Unified Approach,
ICCV98(1029-1034).
IEEE DOI BibRef 9800

Olsen, S.I.[Soren Ingvor],
Image Point Motion When Zooming and Focusing,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Mobasseri, B.G., Doraiswamy, S.,
Virtual motion: 3-D scene recovery using focal length-induced optic flow,
ICIP94(III: 78-82).
IEEE DOI 9411
BibRef

Hannah, E.C.[Eric C.],
Method and apparatus for adjusting video data to limit the effects of automatic focusing control on motion estimation video coders,
US_Patent5,706,054, Jan 6, 1998
WWW Link. BibRef 9801

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Shape from Line Drawings, Junction Labeling .


Last update:Mar 16, 2024 at 20:36:19