Charnley, D., and
Blissett, R.J.,
Surface Reconstruction from Outdoor Image Sequences,
IVC(7), No. 1, February 1989, pp. 10-16.
WWW Version.
BibRef
8902
Harris, C.G.,
Pike, J.M.,
3D positional integration from image sequences,
IVC(6), No. 2, May 1988, pp. 87-90.
WWW Version.
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 Version.
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.,
Nobel, P.B., and
Youssef, Y.M.,
Understanding Blood Cell Motion,
CVGIP(21), No. 1, January 1983, pp. 58-84.
WWW Version.
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.,
Moura, J.M.F.,
Three-dimensional modeling from two-dimensional video,
IP(10), No. 10, October 2001, pp. 1541-1551.
WWW Version.
0110
BibRef
Earlier:
Image Motion Estimation: Convergence and Error Analysis,
ICIP01(II: 937-940).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
Earlier:
Video representation via 3D shaped mosaics,
ICIP98(I: 823-827).
WWW Version.
9810
BibRef
Goldberger, J.[Jacob],
Reconstructing camera projection matrices from multiple pairwise
overlapping views,
CVIU(97), No. 3, March 2005, pp. 283-296.
WWW Version.
0412Factorization 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.
WWW Version.
0605
BibRef
Earlier:
Integration of Motion Fields through Shape,
CVPR05(II: 663-669).
WWW Version.
0507
BibRef
Earlier:
Bias in Shape Estimation,
ECCV04(Vol III: 405-416).
WWW Version.
0405
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).
WWW Version.
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 Abstract. IEEE Top Reference.
0412
BibRef
Nguyen, H.V.,
Hanajík, M.,
3-D scene reconstruction from image sequences,
CAIP95(182-189).
WWW Version.
9509From line segments.
BibRef
Weng, J.,
Cui, Y.,
Ahuja, N., and
Singh, A.,
Integration of Transitory Image Sequences,
CVPR94(966-969).
IEEE Abstract. IEEE Top Reference.
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 Abstract. IEEE Top Reference.
BibRef
9100
And:
Longer:
MIT AI-TR-1296, May 1991.
WWW Version.
BibRef
Heel, J.,
Temporally Integrated Surface Reconstruction,
ICCV90(292-295).
WWW Version.
BibRef
9000
And:
Dynamic Motion Vision,
DARPA89(702-713). 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 Estimation of Structure and Motion from Multiple Frames,
MIT AI Memo-1190, March 1990.
WWW Version.
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 .