Matthies, L.H.[Larry H.],
Dynamic Stereo Vision,
Ph.D.Thesis (CS). October 1989.
BibRef
8910
CMU-CS-TR-89-195, CMU CS Dept.
The long version of his work as reported in several other papers.
BibRef
Matthies, L.H.,
Szeliski, R.S., and
Kanade, T.,
Kalman Filter-based Algorithms for Estimating Depth
from Image Sequences,
IJCV(3), No. 3. September 1989, pp. 209-238.
Springer DOI
BibRef
8909
Earlier:
DARPA88(199-213), also:
BibRef
CMU-RI-TR-88-1, CMU Robotics Institute.
BibRef
And:
Incremental Estimation of Dense Depth Maps from Image Sequences,
CVPR88(366-374).
IEEE DOI Similar to the Broida type work in some aspects, but it is really
multi-frame stereo analysis rather than motion analysis.
BibRef
Charnley, D.[Debra],
Blissett, R.[Rod],
Surface Reconstruction from Outdoor Image Sequences,
IVC(7), No. 1, February 1989, pp. 10-16.
Elsevier DOI
BibRef
8902
Harris, C.G.,
Pike, J.M.,
3D positional integration from image sequences,
IVC(6), No. 2, May 1988, pp. 87-90.
Elsevier DOI
BibRef
8805
Earlier:
Alvey87(233-236).
The points are tracked through the sequence, and their 3D locations
are accurately determined by use of Kalman filters. The egomotion of
the camera is also determined.
BibRef
Hildreth, E.C., and
Grzywacz, N.M.,
Adelson, E.H., and
Inada, V.K.,
The Perceptual Buildup of Three-Dimensional Structure from Motion,
PandP(48), No. 1, 1990, pp. 19-26.
BibRef
9000
And:
MIT AI Memo-1141, August 1989.
BibRef
Grzywacz, N.M.[Norberto M.], and
Hildreth, E.C.[Ellen C.],
The Incremental Rigidity Scheme for Recovering Structure from Motion:
Position vs. Velocity Based Formulations,
MIT AI Memo-845, October 1985.
WWW Link.
BibRef
8510
Hildreth, E.C., and
Grzywacz, N.M.,
The Incremental Recovery of Structure from Motion:
Position vs. Velocity Based Formulations,
Motion86(137-143).
This and the Ullman invited talk covered the topic. MIT has now
learned that long range methods do not have thesame noise problems
as the short range methods. The rigid object assumption is used to
limit how much the 3-D model of the object changes from one view to
the next, but given no 3-D to begin with, the actual structure is
determined. The examples were for simple polygons, and they did
not reall show what the input looked like - more a presentation
problem.
BibRef
8600
Hildreth, E.C.[Ellen C.],
Ando, H.[Hiroshi],
Andersen, R.[Richard], and
Treue, S.[Stefan],
Recovering Three-Dimensional Structure from Motion with
Surface Reconstruction,
MIT AI Memo-1314, December 1991.
BibRef
9112
Levine, M.D.[Martin D.],
Noble, P.B.[Peter B.],
Youssef, Y.M.[Youssry M.],
Understanding Blood Cell Motion,
CVGIP(21), No. 1, January 1983, pp. 58-84.
Elsevier DOI
BibRef
8301
And:
A Rule-Based System for Characterizing Blood Cell Motion,
ISPDSA83(663-709).
BibRef
Choi, K.J.[Kwang-Jin],
Park, S.H.[Sang-Hyun],
Ko, H.S.[Hyeong-Seok],
Processing Motion Capture Data to Achieve Positional Accuracy,
GMIP(61), No. 5, September 1999, pp. 260-273.
BibRef
9909
Aguiar, P.M.Q.[Pedro M.Q.],
Moura, J.M.F.[Jose M.F.],
Three-dimensional modeling from two-dimensional video,
IP(10), No. 10, October 2001, pp. 1541-1551.
IEEE DOI
0110
BibRef
Earlier:
Image Motion Estimation: Convergence and Error Analysis,
ICIP01(II: 937-940).
IEEE DOI
0108
BibRef
Earlier:
A Fast Algorithm for Rigid Structure from Image Sequences,
ICIP99(III:125-129).
IEEE DOI
BibRef
Earlier:
Video representation via 3D shaped mosaics,
ICIP98(I: 823-827).
IEEE DOI
9810
BibRef
Yokoya, N.,
Shakunaga, T., and
Kanbara, M.,
Passive Range Sensing Techniques: Depth from Images,
IEICE(E82-D), No. 3, 1999, pp. 523-533.
BibRef
9900
Sato, T.,
Kanbara, M.,
Yokoya, N.,
Takemura, H.,
3-D modeling of an outdoor scene by multi-baseline stereo using a long
sequence of images,
ICPR02(III: 581-584).
IEEE DOI
0211
BibRef
Goldberger, J.[Jacob],
Reconstructing camera projection matrices from multiple pairwise
overlapping views,
CVIU(97), No. 3, March 2005, pp. 283-296.
Elsevier DOI
0412
Factorization requires all views, others triplets of views.
Only pairs of views required.
BibRef
Ji, H.[Hui],
Fermuller, C.[Cornelia],
A 3D Shape Constraint on Video,
PAMI(28), No. 6, June 2006, pp. 1018-1023.
IEEE DOI
0605
BibRef
Earlier:
Integration of Motion Fields through Shape,
CVPR05(II: 663-669).
IEEE DOI
0507
BibRef
Earlier:
Bias in Shape Estimation,
ECCV04(Vol III: 405-416).
Springer DOI
0405
BibRef
Pugeault, N.[Nicolas],
Kruger, N.[Norbert],
Temporal accumulation of oriented visual features,
JVCIR(22), No. 2, February 2011, pp. 153-163.
Elsevier DOI
1102
Object model building, Visual representation, Feature tracking;
Temporal filtering, Unscented Kalman filtering, Edge features;
Multiple hypotheses tracking, Structure from motion
BibRef
Pugeault, N.,
Woergoetter, F.,
Krueger, N.,
Accumulated Visual Representation for Cognitive Vision,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Miura, M.[Masato],
Arai, J.[Jun],
Sasaki, H.[Hisayuki],
Okui, M.[Makoto],
Okano, F.[Fumio],
Yamazaki, J.[Junichi],
Sobue, S.I.[Shin-Ichi],
Extracting 3D images from lunar orbiter Kaguya data,
SPIE(Newsroom), March 14, 2011
DOI Link
1103
Geometric analysis of movies captured by a single high-definition TV
camera gives depth to 2D images from space.
BibRef
Lhuillier, M.[Maxime],
Incremental Fusion of Structure-from-Motion and GPS Using Constrained
Bundle Adjustments,
PAMI(34), No. 12, December 2012, pp. 2489-2495.
IEEE DOI
1210
BibRef
Earlier:
Fusion of GPS and Structure-from-Motion Using Constrained Bundle
Adjustments,
CVPR11(3025-3032).
IEEE DOI
1106
See also Generic and Real-Time Structure from Motion Using Local Bundle Adjustment.
BibRef
Litvinov, V.[Vadim],
Lhuillier, M.[Maxime],
Incremental Solid Modeling from Sparse Structure-from-Motion Data
with Improved Visual Artifacts Removal,
ICPR14(2745-2750)
IEEE DOI
1412
BibRef
Earlier:
Incremental Solid Modeling from Sparse and Omnidirectional
Structure-from-Motion Data,
BMVC13(xx-yy).
DOI Link
1402
Cameras.
BibRef
Abdel-Wahab, M.[Mohammed],
Wenzel, K.[Konrad],
Fritsch, D.[Dieter],
Automated and Accurate Orientation of Large Unordered Image Datasets
for Close-Range Cultural Heritage Data Recording,
PFG(2012), No. 6, 2012, pp. 679-689.
WWW Link.
1302
BibRef
Earlier:
Efficient Reconstruction of Large Unordered Image Datasets for High
Accuracy Photogrammetric Applications,
AnnalsPRS(I-3), No. 2012, pp. 1-6.
DOI Link
1209
BibRef
Toldo, R.[Roberto],
Gherardi, R.[Riccardo],
Farenzena, M.[Michela],
Fusiello, A.[Andrea],
Hierarchical structure-and-motion recovery from uncalibrated images,
CVIU(140), No. 1, 2015, pp. 127-143.
Elsevier DOI
1509
Structure and motion
BibRef
Arrigoni, F.[Federica],
Fusiello, A.[Andrea],
Rossi, B.[Beatrice],
Camera Motion from Group Synchronization,
3DV16(546-555)
IEEE DOI
1701
Cameras
BibRef
Arrigoni, F.[Federica],
Rossi, B.[Beatrice],
Fusiello, A.[Andrea],
Global Registration of 3D Point Sets via LRS Decomposition,
ECCV16(IV: 489-504).
Springer DOI
1611
BibRef
Earlier:
Robust and Efficient Camera Motion Synchronization via Matrix
Decomposition,
CIAP15(I:444-455).
Springer DOI
1511
BibRef
Malapelle, F.[Francesco],
Fusiello, A.[Andrea],
Rossi, B.[Beatrice],
Fragneto, P.[Pasqualina],
A data-fusion approach to motion-stereo,
SP:IC(43), No. 1, 2016, pp. 42-53.
Elsevier DOI
1604
Motion-stereo
BibRef
Arrigoni, F.[Federica],
Rossi, B.[Beatrice],
Malapelle, F.,
Fragneto, P.,
Fusiello, A.[Andrea],
Robust Global Motion Estimation with Matrix Completion,
CloseRange14(63-70).
DOI Link
1411
BibRef
Arrigoni, F.[Federica],
Rossi, B.[Beatrice],
Fragneto, P.[Pasqualina],
Fusiello, A.[Andrea],
Robust synchronization in SO(3) and SE(3) via low-rank and sparse
matrix decomposition,
CVIU(174), 2018, pp. 95-113.
Elsevier DOI
1812
Absolute rotations, Global rotations, Structure-from-motion,
Global registration, l-Regularization, Matrix completion,
Low-rank & sparse matrix decomposition
BibRef
Arrigoni, F.[Federica],
Magri, L.,
Rossi, B.[Beatrice],
Fragneto, P.[Pasqualina],
Fusiello, A.[Andrea],
Robust Absolute Rotation Estimation via Low-Rank and Sparse Matrix
Decomposition,
3DV14(491-498)
IEEE DOI
1503
Approximation methods
BibRef
Gherardi, R.[Riccardo],
Farenzena, M.[Michela],
Fusiello, A.[Andrea],
Improving the efficiency of hierarchical structure-and-motion,
CVPR10(1594-1600).
IEEE DOI
1006
BibRef
Earlier: A2, A3, A1:
Structure-and-motion pipeline on a hierarchical cluster tree,
3DIM09(1489-1496).
IEEE DOI
0910
BibRef
And: A2, A3, A1:
SAMANTHA:
Structure-and-Motion Pipeline on a Hierarchical Cluster Tree,
Online2010.
WWW Link.
How to structure sequence for computation.
BibRef
Masiero, A.,
Guarnieri, A.,
Vettore, A.,
Pirotti, F.,
An ISVD-based Euclidian structure from motion for smartphones,
CloseRange14(401-406).
DOI Link
1411
BibRef
Zarrouati, N.[Nadege],
Aldea, E.[Emanuel],
Rouchon, P.[Pierre],
Robust depth regularization explicitly constrained by camera motion,
ICPR12(3606-3609).
WWW Link.
1302
camera on known path.
BibRef
Ke, T.,
Zhang, Z.X.,
Huang, S.,
The Scanning Photogrammetry,
ISPRS12(XXXIX-B5:345-349).
DOI Link
1209
from rotating the camera
BibRef
Rana, M.[Mayank],
Taylor, G.[Graham],
Spiro, I.[Ian],
Bregler, C.[Christoph],
3D skeletal reconstruction from low-resolution multi-view images,
HAU3D12(58-63).
IEEE DOI
1207
At a distance for the objects.
BibRef
Klopschitz, M.[Manfred],
Irschara, A.[Arnold],
Reitmayr, G.[Gerhard],
Schmalstieg, D.[Dieter],
Robust Incremental Structure from Motion,
3DPVT10(xx-yy).
WWW Link.
1005
BibRef
Sur, F.[Frederic],
Robust Matching in an Uncertain World,
ICPR10(2350-2353).
IEEE DOI
1008
BibRef
Bhat, S.K.K.[Srikrishna K.K.],
Berger, M.O.[Marie-Odile],
Sur, F.[Frederic],
Visual Words for 3D Reconstruction and Pose Computation,
3DIMPVT11(326-333).
IEEE DOI
1109
BibRef
Bhat, S.K.K.[Srikrishna K.K.],
Berger, M.O.[Marie-Odile],
Simon, G.[Gilles],
Sur, F.[Frederic],
Transitive Closure Based Visual Words for Point Matching in Video
Sequence,
ICPR10(3300-3303).
IEEE DOI
1008
BibRef
Yamaguchi, T.[Tatsuhisa],
Nobuhara, S.[Shohei],
Matsuyama, T.[Takashi],
Cell-based object tracking method for 3D shape reconstruction using
multi-viewpoint active cameras,
VS09(1306-1313).
IEEE DOI
0910
Localized calibration.
BibRef
Jiang, Z.H.[Zhu-Han],
Object Modelling in Videos via Multidimensional Features of Colours and
Textures,
DICTA09(154-161).
IEEE DOI
0912
Model a tracked object by distinctive features.
BibRef
Knoblauch, D.[Daniel],
Kuester, F.[Falko],
Focused Volumetric Visual Hull with Color Extraction,
ISVC09(II: 208-217).
Springer DOI
0911
voxels from moving object.
BibRef
Knoblauch, D.[Daniel],
Hess-Flores, M.[Mauricio],
Duchaineau, M.[Mark],
Kuester, F.[Falko],
Factorization of Correspondence and Camera Error for Unconstrained
Dense Correspondence Applications,
ISVC09(I: 720-729).
Springer DOI
0911
BibRef
Li, C.[Chuan],
Zheng, J.J.[Jin-Jin],
Dang, C.Y.[Chuang-Yin],
Zhou, H.J.[Hong-Jun],
A Method of 3D Reconstruction from Image Sequence,
CISP09(1-5).
IEEE DOI
0910
BibRef
Le, H.V.[Ha Vu],
A structure-from-motion method for 3-d reconstruction of moving objects
from multiple-view image sequences,
ICIP04(III: 1955-1958).
IEEE DOI
0505
BibRef
And:
A Structure-from-Motion Method: Use of Motion in Three-Dimensional
Reconstruction of Moving Objects from Multiple-View Image Sequences,
3DPVT04(341-347).
IEEE DOI
0412
BibRef
Nguyen, H.V.,
Hanajík, M.,
3-D scene reconstruction from image sequences,
CAIP95(182-189).
Springer DOI
9509
From line segments.
BibRef
Weng, J.,
Cui, Y.,
Ahuja, N., and
Singh, A.,
Integration of Transitory Image Sequences,
CVPR94(966-969).
IEEE DOI
BibRef
9400
Kim, Y.C., and
Price, K.E.,
Multiple Frame Analysis of Translation Dominant Motion,
DARPA90(339-347).
BibRef
9000
USC Computer VisionSimple application of multiple frame techniques to extract structure.
BibRef
Ferrie, F.P., and
Levine, M.D.,
Integrating Information from Multiple Views,
CVWS87(117-122).
BibRef
8700
Earlier:
Piecing Together the 3D Shape of Moving Objects: An Overview,
CVPR85(574-584).
Generate description, transformations,
then the model. Integration of data for 3-D representation. Precursor to his
thesis which should be dated about May 1986.
BibRef
Altman, E.J.,
Ahuja, N.,
A Dynamical Systems Approach to Integration in Stereo,
DARPA90(423-427).
BibRef
9000
Heel, J.[Joachim],
Temporal Surface Reconstruction,
CVPR91(607-612).
IEEE DOI
BibRef
9100
And:
Longer:
MIT AI-TR-1296, May 1991.
WWW Link.
BibRef
Heel, J.,
Temporally Integrated Surface Reconstruction,
ICCV90(292-295).
IEEE DOI
BibRef
9000
And:
Dynamic Motion Vision,
DARPA89(702-713).
BibRef
And:
SPIE(1192), 1990, pp. 758-769.
Using a sequence, predict the depth, predict the
motion, use each prediction to estimate the other and update, using Bayesian
estimation theory and a Kalman filter.
BibRef
Heel, J.[Joachim],
Direct dynamic motion vision,
CRA90(II: 1142-1147).
BibRef
9000
Heel, J.[Joachim],
Direct Estimation of Structure and Motion from Multiple Frames,
MIT AI Memo-1190, March 1990.
WWW Link.
BibRef
9003
Heel, J.,
Rao, S.,
Temporal Integration of Visual Surface Reconstruction,
DARPA90(376-382).
BibRef
9000
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Error Analysis of Motion and Structure Computations .