Nagel, H.H.,
From Image Sequences Towards Conceptual Descriptions,
IVC(6), No. 2, May 1988, pp. 59-74.
WWW Version.
BibRef
8805
Kollnig, H.,
Nagel, H.H.,
Otte, M.,
Association of Motion Verbs with Vehicle Movements Extracted from
Dense Optical Flow Fields,
ECCV94(B:338-347).
Springer DOI Link
BibRef
9400
Koller, D.,
Heinze, H., and
Nagel, H.H.,
Algorithmic Characterization of Vehicle Trajectories from
Image Sequences by Motion Verbs,
CVPR91(90-95).
IEEE Abstract.
BibRef
9100
Sridhar, B.,
Suorsa, R.E.,
Hussien, B.,
Passive Range Estimation for Rotorcraft Low-Altitude Flight,
MVA(6), 1993, pp. 10-24.
BibRef
9300
Suorsa, R.E.,
Sridhar, B.,
A Parallel Implementation of a Multisensor Feature-Based
Range-Estimation Method,
RA(10), 1994, pp. 755-768.
BibRef
9400
Earlier:
CVPR93(379-385).
IEEE Abstract. Motion and structure from a sequence.
BibRef
Soni, T., and
Sridhar, B.,
Modelling Issues in Vision Based Aircraft Navigation During Landing,
WACV94(89-96).
IEEE Abstract.
BibRef
9400
Smith, P.N.,
Sridhar, B., and
Hussien, B.,
Vision-Based Range Estimation Using Helicopter Flight Data,
CVPR92(202-208).
IEEE Abstract. You know the helicopter motion, derive the structure of the scene.
BibRef
9200
Hung, Y.S.,
Ho, H.T.,
A Kalman Filter Approach to Direct Depth Estimation Incorporating
Surface Structure,
PAMI(21), No. 6, June 1999, pp. 570-575.
771330
BibRef
9906
And:
Errata:
Corrections to 'A Kalman Filter Approach to Direct Depth Estimation
Incorporating Surface Structure',
PAMI(21), No. 10, October 1999, pp. 1101.
Pixel based depth from motion. Applied to navigation problems.
BibRef
Ramachandran, M.[Mahesh],
Veeraraghavan, A.[Ashok],
Chellappa, R.[Rama],
A Fast Bilinear Structure from Motion Algorithm Using a Video Sequence
and Inertial Sensors,
PAMI(33), No. 1, January 2011, pp. 186-193.
IEEE DOI Link
1011
BibRef
Earlier:
Fast Bilinear SfM with Side Information,
ICCV07(1-8).
IEEE DOI Link
0710
Use gravity (vertical) and height of the camera (i.e. from a vehicle mounted
camera). Simplifies the SfM equations.
BibRef
Kim, J.H.[Jae-Hak],
Li, H.D.[Hong-Dong],
Hartley, R.I.[Richard I.],
Motion Estimation for Nonoverlapping Multicamera Rigs:
Linear Algebraic and L_infty Geometric Solutions,
PAMI(32), No. 6, June 2010, pp. 1044-1059.
IEEE DOI Link
1004
BibRef
Earlier:
Motion estimation for multi-camera systems using global optimization,
CVPR08(1-8).
IEEE DOI Link
0806
BibRef
And: A2, A3, A1:
A linear approach to motion estimation using generalized camera models,
CVPR08(1-8).
IEEE DOI Link
0806
Egomotion from multicamera system for 2 positions.
One linear solution, one geometric solution.
See also Motion from 3D Line Correspondences: Linear and Non-Linear Solutions.
BibRef
Clipp, B.[Brian],
Kim, J.H.[Jae-Hak],
Frahm, J.M.[Jan-Michael],
Pollefeys, M.[Marc],
Hartley, R.I.[Richard I.],
Robust 6DOF Motion Estimation for Non-Overlapping, Multi-Camera Systems,
WACV08(1-8).
IEEE DOI Link
0801
BibRef
Chang, Y.L.,
Aggarwal, J.K.,
Reconstructing 3D Lines from a Sequence of 2D Projections:
Representation and Estimation,
ICCV90(101-105).
IEEE DOI Link
BibRef
9000
Chang, Y.L., and
Aggarwal, J.K.,
3D Structure Reconstruction from an Ego Motion Sequence Using
Statistical Estimation and Detection Theory,
Motion91(268-273).
Predict features to detect
then combine feature matches with motion estimation, high level control.
BibRef
9100
Stephens, M.J.,
Blissett, R.J.,
Charnley, D.,
Sparks, E.P., and
Pike, J.M.,
Outdoor Vehicle Navigation Using Passive 3D Vision,
CVPR89(556-562).
IEEE Abstract. Basic structure from
motion using matching edges and corners and triangulation.
BibRef
8900
Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Factorization Approach to Motion and Structure .