Zacharias, G.L.,
Caglayan, A.K.,
Sinacori, J.B.,
A Model for Visual Flow-Field Cueing and Self-Motion Estimation,
SMC(15), 1985, pp. 385-389.
BibRef
8500
van Doorn, A.J., and
Koenderink, J.J.,
Visibility of Movement Gradients,
BioCyber(44), 1982, pp. 167-175.
BibRef
8200
Koenderink, J.J., and
van Doorn, A.J.,
Affine Structure from Motion,
JOSA-A(8), No. 2, 1991, pp. 377-385.
BibRef
9100
Koenderink, J.J., and
van Doorn, A.J.,
Invariant Properties of the Motion Parallax Field Due
to the Movement of Rigid Bodies Relative to an Observer,
Optica Acta(22), No. 9, 1975, pp. 773-791.
BibRef
7500
Koenderink, J.J., and
van Doorn, A.J.,
Exterospecific Component of the Motion Parallax Field,
JOSA(66), 1976, pp. 953-957.
See also Local Structure of Movement Parallax of the Plane.
BibRef
7600
Rosenholtz, R.[Ruth],
Koenderink, J.J.[Jan J.],
Affine Structure and Photometry,
CVPR96(790-795).
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9600
Bruss, A.R.[Anna R.], and
Horn, B.K.P.[Berthold K.P.],
Passive Navigation,
CVGIP(21), No. 1, January 1983, pp. 3-20.
WWW Version.
BibRef
8301
Earlier:
DARPA82(204-214).
BibRef
And:
MIT AI Memo-662, November 1981.
A lot of equations to show what can be done with optic flow data.
Determine the motion of a body relative to a fixed environment
using the changing image seen by the camera attached to the moving
body. The optic flow in the image is the input.
BibRef
Negahdaripour, S., and
Horn, B.K.P.,
Direct Passive Navigation,
PAMI(9), No. 1, January 1987, pp. 168-176.
BibRef
8701
Earlier:
MIT AI Memo-821, February 1984.
BibRef
Earlier:
Direct Passive Navigation: Analytical Solution for Planes,
DARPA85(381-387).
BibRef
And:
A1 only ?:
MIT AI Memo-863, August 1985.
Motion of the observer relative to a planar surface using image
brightness derivatives. No optical flow is computed, just
derivatives at 8 points.
BibRef
Negahdaripour, S.[Shahriar],
Yuille, A.[Alan],
Direct Passive Navigation: Analytical Solution for Quadratic Patches,
MIT AI Memo-876, March 1986.
BibRef
8603
Negahdaripour, S.,
Kolagani, N., and
Hayashi, B.Y.,
Direct Motion Stereo for Passive Navigation,
CVPR92(425-431).
IEEE Abstract. IEEE Top Reference. Consider axial translation and panning translation, computed from
image gradients and time derivatives. Uses stereo image sequences.
BibRef
9200
Hayashi, B.Y.,
Direct Motion Stereo: Recovery of Observer Motion and Scene Structure,
ICCV90(446-450).
WWW Version.
BibRef
9000
Negahdaripour, S.,
Motion Recovery from Image Sequences Using Only
First Order Optical Flow Information,
IJCV(9), No. 3, 1992, pp. 163-184.
WWW Version.
BibRef
9200
Earlier:
add A2
Lee, S.,
Motion Recovery from Image
Sequences Using First-Order Optical Flow Information,
Motion91(132-139).
Use optical flow in two regions to get ego motion.
BibRef
Inigo, R.M.,
McVey, E.S.,
Berger, B.J.,
Wirtz, M.J.,
Machine Vision Applied to Vehicle Guidance,
PAMI(6), No. 6, November 1984, pp. 820-826.
BibRef
8411
McVey, E.S.,
Drake, K.C.,
Inigo, R.M.,
Range Measurements by a Mobile Robot Using a Navigation Line,
PAMI(8), No. 1, January 1986, pp. 105-109.
BibRef
8601
Drake, K.C.,
McVey, E.S.,
Inigo, R.M.,
Sensing Error for a Mobile Robot Using Line Navigation,
PAMI(7), No. 4, July 1985, pp. 485-490.
BibRef
8507
Drake, K.C.,
McVey, E.S.,
Inigo, R.M.,
Sensor Roll Angle Error for a Mobile Robot Using a Navigation Line,
PAMI(10), No. 5, September 1988, pp. 727-731.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
8809
Drake, K.C.,
McVey, E.S.,
Inigo, R.M.,
Experimental Position and Ranging Results for a Mobile Robot,
RA(3), 1987, pp. 31-42.
BibRef
8700
Heeger, D.J., and
Jepson, A.D.,
Subspace Methods for Recovering Rigid Motion I:
Algorithms and Implementation,
IJCV(7), No. 2, January 1992, pp. 95-117.
WWW Version.
BibRef
9201
And:
RBCV-TR-90-35, Toronto, November 1990.
BibRef
And: A2, A1:
Subspace Methods for Recovering Rigid Motion, Part II: Theory,
RBCV-TR-90-36, Toronto, November 1990.
BibRef
And:
Linear Subspace Methods for Recovering Translation Direction,
RBCV-TR-92-40, Toronto, 1992.
Depth from optical flow.
BibRef
Heeger, D.J.,
Jepson, A.D.,
Simple Method for Computing 3D Motion and Depth,
ICCV90(96-100).
WWW Version.
BibRef
9000
Heeger, D.J., and
Jepson, A.D.,
A Fast Subspace Methods for Recovering Rigid Motion,
Motion91(124-131).
Egomotion, recover translation direction, then a linear method
to get rotation and depth.
BibRef
9100
Heeger, D.J.,
Hager, G.,
Egomotion and the Stabilized World,
ICCV88(435-440).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Dvornychenko, V.N.,
Kong, M.S.,
Soria, S.M.,
Mission Parameters Derived from Optical Flow,
JMIV(2), 1992, pp. 27-38.
BibRef
9200
Hummel, R.A., and
Sundareswaran, V.,
Motion Parameter Estimation from Global Flow Field Data,
PAMI(15), No. 5, May 1993, pp. 459-476.
IEEE Abstract. IEEE Top Reference.
WWW Version. Two iterative algorithms to get the parameters of motion given the
flow field. The first is flow circulation, the second is the
FOE search algorithm.
BibRef
9305
Sundareswaran, V.,
Egomotion from Global Flow Field Data,
Motion91(140-145).
Get T and R given the optical flow field. The curl of FF is
approximately linear in R. The FoE is at the center of a circle
where the line integral of the FF projected on the circle is 0.
BibRef
9100
Sundareswaran, V.,
Global Methods for Image Motion Analysis,
Ph.D.October 1992,
BibRef
9210
NYU
BibRef
Barron, J.L.[John L.],
A Survey of Approaches for Determining Optic Flow, Environmental
Layout and Egomotion,
RBCV-TR-84-5, November 1984, Toronto.
Survey, Optic Flow. A good survey of motion papers up to 1984, especially the optic flow
papers. There are summaries of most of the equations that people use
and a lot of diagrams.
BibRef
8411
Prazdny, K.,
Ego Motion and a Relative Depth Map from Optical Flow,
BioCyber(36), 1980, pp. 87-102.
BibRef
8000
And:
A Simple Method for Recovering Relative Depth Map in the Case of a
Translating Sensor,
IJCAI81(698-699).
BibRef
And:
Relative Depth and Local Surface Orientation from Image Motions,
DARPA81(47-60).
Develop equations to use optical flow to recover rotation and
translation direction, orientation of approaching surface. The
magnitude of translation is not possible.
BibRef
Prazdny, K.,
Determining the Instantaneous Direction of Motion
from Optical Flow Generated by a Curvilinearly Moving Observer,
CGIP(17), No. 3, November 1981, pp. 238-248.
WWW Version.
BibRef
8111
Earlier:
DARPA81(14-21).
BibRef
And:
PRIP81(109-114).
BibRef
Prazdny, K.,
Motion and Structure from Optical Flow,
IJCAI79(702-704).
BibRef
7900
Prazdny, K.,
Computing Motions of Planar Surfaces from Spatio-Temporal Changes
in Image Brightness,
PRIP82(256-258).
BibRef
8200
Prazdny, K.,
A Sketch of a (Computational) Theory of Visual Kinesthesis,
HMV83(413-423).
BibRef
8300
Rieger, J.H., and
Lawton, D.T.,
Determining the Instantaneous Axis of Translation from Optic Flow
Generated by Arbitrary Sensor Motion,
Motion83(33-41).
BibRef
8300
And:
COINSTR 83-1, UMass., January 1983.
Method: compute (locally) the difference vectors from optic flow
field; Threshold difference vectors; Minimize the angle between the
difference vector field.
BibRef
Rieger, J.H., and
Lawton, D.T.,
Processing Differential Image Motion,
JOSA-A(2), 1985, pp. 254-260.
BibRef
8500
Earlier:
COINSTR 84-28, 1984.
BibRef
Earlier: A2, A1:
The Use of Difference Fields in Processing Sensor Motion,
DARPA83(77-83). Identical paper (different title):
BibRef
Sensor Motion and Relative Depth from Difference Fields of
Optic Flows,
IJCAI83(1027-1031).
Recover the motion of the sensor only. This is
about the same as the above report (COINS 83-1).
BibRef
Horn, B.K.P., and
Weldon, Jr., E.J.,
Direct Methods for Recovering Motion,
IJCV(2), No. 1, June 1988, pp. 51-76.
WWW Version. Pure rotation, pure translation, or general motion with known pure
rotation, using first order derivatives of the image.
BibRef
8806
Horn, B.K.P., and
Weldon, Jr., E.J.,
Computationally-Efficient Methods for Recovering
Translational Motion,
ICCV87(2-11).
Translation of the observer using a gradient approach.
BibRef
8700
Sinclair, D.A.,
Blake, A.,
Murray, D.,
Robust Estimation of Egomotion from Normal Flow,
IJCV(13), No. 1, September 1994, pp. 57-69.
WWW Version.
BibRef
9409
Duric, Z.[Zoran],
Rosenfeld, A., and
Davis, L.S.,
Egomotion Analysis Based on the Frenet-Serret Motion Model,
IJCV(15), No. 1-2, June 1995, pp. 105-122.
WWW Version.
BibRef
9506
Earlier:
ICCV93(703-712).
WWW Version.
See also Estimating The Heading Direction Using Normal Flow.
BibRef
Heeger, D.J., and
Jepson, A.D.,
Visual Perception of Three-Dimensional Motion,
NeurComp(2), 1990, pp. 129-137.
BibRef
9000
Silva, C.[Cesar],
Santos-Victor, J.[Jose],
Robust Egomotion Estimation from the Normal Flow
Using Search Subspaces,
PAMI(19), No. 9, September 1997, pp. 1026-1034.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9710
BibRef
Silva, C.[Cesar],
Santos-Victor, J.[Jose],
Egomotion Estimation on a Topological Space,
ICPR98(Vol I: 64-66).
WWW Version.
9808
BibRef
Silva, C.[César], and
Santos-Victor, J.[José],
Egomotion Estimation Using Log-Polar Images,
ICCV98(967-972).
WWW Version.
BibRef
9800
Silva, C.,
Santos-Victor, J.,
Direct Egomotion Estimation,
ICPR96(I: 702-706).
WWW Version.
9608(Inst. de Sistemas e Robotica, P)
BibRef
Brooks, M.J.[Michael J.],
Chojnacki, W.[Wojciech],
Baumela, L.,
Determining the Egomotion of an Uncalibrated Camera from
Instantaneous Optical Flow,
JOSA-A(14), No. 10, October 1997, pp. 2670-2677.
9710
See also From FNS to HEIV: A Link Between Two Vision Parameter Estimation Methods.
BibRef
Irani, M.[Michal],
Rousso, B.[Benny],
Peleg, S.[Shmuel],
Recovery of Ego-Motion Using Region Alignment,
PAMI(19), No. 3, March 1997, pp. 268-272.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9704
BibRef
Earlier:
Recovery of Ego-Motion Using Image Stabilization,
CVPR94(454-460).
IEEE Abstract. IEEE Top Reference.
BibRef
Earlier:
Robust recovery of ego-motion,
CAIP93(371-378).
WWW Version.
93092D image motion is used to align the image regions, this registration
removed the rotation effects. The resulting residual parallax gives the
FOE, and thus the ego-translation. Rotation comes from the translation
and the 2D image motion.
BibRef
Cameron, S.,
Grossberg, S.,
Guenther, F.H.,
A Self-Organizing Neural-Network Architecture for
Navigation Using Optic Flow,
NeurComp(10), No. 2, February 15 1998, pp. 313-352.
9802
BibRef
Verri, A.[Alessandro], and
Trucco, E.[Emanuele],
Finding the Epipole from Uncalibrated Optical Flow,
IVC(17), No. 8, June 1999, pp. 605-609.
WWW Version.
BibRef
9906
Earlier:
ICCV98(987-991).
WWW Version.
BibRef
BMVC97(xx-yy).
HTML Version.
0209
BibRef
Fejes, S.[Sandor],
Davis, L.S.[Larry S.],
Detection of Independent Motion Using Directional Motion Estimation,
CVIU(74), No. 2, May 1999, pp. 101-120.
WWW Version.
BibRef
9905
Earlier:
UMD--TR3815, August 1997.
Partial Egomotion Estimation.
Detection of Moving Objects.
Robust Line Fitting.
Spatio-Temporal Filtering.
WWW Version.
WWW Version.
BibRef
Earlier:
Exploring Visual Motion Using Projections of Motion Fields,
DARPA97(113-122).
BibRef
Fejes, S.[Sandor], and
Davis, L.S.[Larry S.],
What Can Projections of Flow Fields Tell Us About Visual Motion,
ICCV98(979-986).
WWW Version.
BibRef
9800
Fejes, S.[Sandor],
Davis, L.S.[Larry S.],
Direction-Selective Filters for Egomotion Estimation,
UMD--CS-TR-3814, July 1997.
Egomotion Estimation.
Fisher Discriminant.
Robust Line Fitting.
Postscript Version.
BibRef
9707
Fermüller, C.[Cornelia],
Pless, R.[Robert],
The Ouchi Illusion as an Artifact of Biased Flow Estimation,
Vision Research(40), No. 1, 2000, pp. 77-95.
BibRef
0001
Earlier:
Add A3:
Aloimonos, Y.[Yiannis],
UMD--TR3917, July 1998
WWW Version.
WWW Version.
BibRef
Fermüller, C.[Cornelia],
Aloimonos, Y.[Yiannis],
Global Rigidity Constraints in Image Displacement Fields,
ICCV95(245-250).
WWW Version.
WWW Version. Analysis of optical flow.
BibRef
9500
Fermüller, C.,
Alimonos, Y.[Yiannis],
Recognizing 3d Motion,
IJCAI93(1624-1630).
BibRef
9300
Fermüller, C.,
Global 3-D Motion Estimation,
CVPR93(415-421).
IEEE Abstract. IEEE Top Reference.
BibRef
9300
And:
Motion Constraint Patterns,
WQV93(128-139).
BibRef
And:
DARPA93(629-640).
Find egomotion based on the sign of the normal flow.
BibRef
Tzovaras, D.,
Ploskas, N.,
Strintzis, M.G.,
Rigid 3-D Motion Estimation Using Neural Networks and Initially
Estimated 2-D Motion Data,
CirSysVideo(10), No. 1, February 2000, pp. 158.
IEEE Top Reference.
0003
BibRef
Ploskas, N.,
Simitopoulos, D.,
Tzovaras, D.,
Triantafyllidis, G.A.,
Strintzis, M.G.,
Rigid and non-rigid 3D motion estimation from multiview image sequences,
SP:IC(18), No. 3, March 2003, pp. 185-202.
WWW Version.
0304
BibRef
Demirdjian, D.[David],
Horaud, R.[Radu],
Motion-Egomotion Discrimination and Motion Segmentation from Image-Pair
Streams,
CVIU(78), No. 1, April 2000, pp. 53-68.
0004
WWW Version. Robust techniques.
BibRef
Branca, A.,
Stella, E.,
Distante, A.,
Passive navigation using egomotion estimates,
IVC(18), No. 10, July 2000, pp. 833-841.
WWW Version.
0005
BibRef
Branca, A.,
Stella, E.,
Ancona, N.,
Distante, A.,
Planar Surface Reconstruction using Projective Geometry,
SCIA99(Computer Vision III).
BibRef
9900
Chen, Y.S.[Yong-Sheng],
Liou, L.G.[Lin-Gwo],
Hung, Y.P.[Yi-Ping],
Fuh, C.S.[Chiou-Shann],
Three-dimensional ego-motion estimation from motion fields observed
with multiple cameras,
PR(34), No. 8, August 2001, pp. 1573-1583.
WWW Version.
0105
BibRef
Tsao, A.T.,
Hung, Y.P.,
Fuh, C.S.,
Chen, Y.S.,
Ego Motion Estimation Using Optical Flow Fields Observed from
Multiple Cameras,
CVPR97(457-462).
IEEE Abstract. IEEE Top Reference.
WWW Version.
9704
BibRef
Harding, C.M.[Cressida M.],
Lane, R.G.[Richard G.],
Passive navigation from image sequences by use of a volumetric approach,
JOSA-A(19), No. 2, February 2002, pp. 295-305.
WWW Version.
0202
BibRef
Chiuso, A.[Alessandro],
Favaro, P.[Paolo],
Jin, H.L.[Hai-Lin],
Soatto, S.[Stefano],
Structure from Motion Causally Integrated Over Time,
PAMI(24), No. 4, April 2002, pp. 523-535.
IEEE Abstract. IEEE Top Reference.
WWW Version.
PDF Version.
0204
BibRef
Earlier:
3-D Motion and Structure from 2-D Motion Causally Integrated over Time:
Implementation,
ECCV00(II: 734-750).
WWW Version.
00033-D structure in real time from monocular sequence.
Prove it is minimal and stable.
Handle occlusions. 20-40 high contrast points with small motion relative
to sampling.
See also semi-direct approach to structure from motion, A.
BibRef
Gurnsey, R.,
Fleet, D.J., and
Potechin, C.,
Second-order motions contribute to vection,
Vision Research(38), No. 18, 1998, pp. 2801-2816.
HTML Version.
BibRef
9800
Wang, H.[Han],
Song, W.[Weilin],
Correction of bias for motion estimation algorithms,
PRL(23), No. 13, November 2002, pp. 1505-1514.
HTML Version.
0206Egomotion from epipolar qquations.
Minimize error of point from epiploar line.
BibRef
Armangué, X.[Xavier],
Araújo, H.[Helder],
Salvi, J.[Joaquim],
A review on egomotion by means of differential epipolar geometry
applied to the movement of a mobile robot,
PR(36), No. 12, December 2003, pp. 2927-2944.
WWW Version.
0310
BibRef
Earlier:
Differential epipolar constraint in mobile robot egomotion estimation,
ICPR02(III: 599-602).
WWW Version.
0211
BibRef
Park, S.C.[Sang-Cheol],
Lee, H.S.[Hyoung-Suk],
Lee, S.W.[Seong-Whan],
Qualitative estimation of camera motion parameters from the linear
composition of optical flow,
PR(37), No. 4, April 2004, pp. 767-779.
WWW Version.
0403
BibRef
Escalante-Ramírez, B.[Boris],
Silván-Cárdenas, J.L.[José L.],
Advanced modeling of visual information processing: A multi-resolution
directional-oriented image transform based on Gaussian derivatives,
SP:IC(20), No. 9-10, October-November 2005, pp. 801-812.
WWW Version.
0510
BibRef
Silván-Cárdenas, J.L.,
Escalante-Ramírez, B.,
Optic-flow Information Extraction with Directional Gaussian-derivatives,
ICPR00(Vol III: 190-193).
WWW Version.
0009
BibRef
Jang, S.W.[Seok-Woo],
Pomplun, M.[Marc],
Kim, G.Y.[Gye-Young],
Choi, H.I.[Hyung-Il],
Adaptive robust estimation of affine parameters from block motion
vectors,
IVC(23), No. 14, 12 December 2005, pp. 1250-1263.
WWW Version.
0601
BibRef
Mann, R.[Richard],
Langer, M.S.[Michael S.],
Spectrum analysis of motion parallax in a 3D cluttered scene and
application to egomotion,
JOSA-A(22), No. 9, September 2005, pp. 1717-1731.
WWW Version.
0601
BibRef
Earlier:
Estimating camera motion through a 3D cluttered scene,
CRV04(472-479).
IEEE Abstract. IEEE Top Reference.
0408
See also Optical Snow.
BibRef
Pauwels, K.[Karl],
van Hulle, M.M.[Marc M.],
Optimal instantaneous rigid motion estimation insensitive to local
minima,
CVIU(104), No. 1, October 2006, pp. 77-86.
WWW Version.
0609
BibRef
And:
Optic Flow from Unstable Sequences containing Unconstrained Scenes
through Local Velocity Constancy Maximization,
BMVC06(I:397).
PDF Version.
0609
BibRef
Earlier:
Robust Instantaneous Rigid Motion Estimation,
CVPR05(II: 980-985).
WWW Version.
0507Egomotion; Optic flow; Calibrated camera; Local minima; Reweighting
Estimation of rigid camera motion from instantaneous velocity
measurements.
BibRef
Shah, H.,
Lakshmikumar, A.,
Probabilistic egomotion from a statistical framework,
BMVC07(xx-yy).
PDF Version.
0709
BibRef
Meidow, J.,
Kirchhof, M.,
Continuous Self-Calibration and Ego-Motion Determination of a Moving
Camera by Observing a Plane,
PIA07(31).
PDF Version.
0711
BibRef
Cao, Y.[Yanpeng],
Cook, P.[Peter],
Renfrew, A.[Alasdair],
Vehicle Ego-Motion Estimation by using Pulse-Coupled Neural Network,
IMVIP07(185-191).
WWW Version.
0709
BibRef
Zhang, X.[Xiang],
Genc, Y.,
Bootstrapped real-time ego motion estimation and scene modeling,
3DIM05(514-521).
WWW Version.
0508
BibRef
He, X.C.[Xiao Chen],
Yung, N.H.C.[Nelson H. C.],
A Novel Algorithm for Estimating Vehicle Speed from Two Consecutive
Images,
WACV07(12-12).
WWW Version.
0702
BibRef
Jung, S.H.[Sang-Hack],
Eledath, J.[Jayan],
Johansson, S.[Stefan],
Mathevon, V.[Vincent],
Egomotion Estimation in Monocular Infra-red Image Sequence for Night
Vision Applications,
WACV07(8-8).
WWW Version.
0702
BibRef
Yamaguchi, K.[Koichiro],
Kato, T.[Takeo],
Ninomiya, Y.[Yoshiki],
Vehicle Ego-Motion Estimation and Moving Object Detection using a
Monocular Camera,
ICPR06(IV: 610-613).
WWW Version.
0609
BibRef
Sim, K.[Kristy],
Hartley, R.[Richard],
Recovering Camera Motion Using L-inf Minimization,
CVPR06(I: 1230-1237).
WWW Version.
0606
See also Removing Outliers Using The L-inf Norm.
BibRef
Verma, S.[Siddharth],
Sharf, I.[Inna],
Dudek, G.[Gregory],
Kinematic Variables Estimation using Eye-in-Hand Robot Camera System,
CRV05(550-557).
WWW Version.
0505
BibRef
Domke, J.[Justin],
Aloimonos, Y.[Yiannis],
A Probabilistic Framework for Correspondence and Egomotion,
WDV06(232-242).
WWW Version.
0705
PDF Version.
BibRef
Domke, J.[Justin], and
Aloimonos, Y.[Yiannis],
Integration of Visual and Inertial Information for Egomotion:
A Stochastic Approach,
CRA06(xx-yy).
PDF Version.
BibRef
0600
Milella, A.[Annalisa],
Siegwart, R.[Roland],
Stereo-Based Ego-Motion Estimation Using Pixel Tracking and Iterative
Closest Point,
CVS06(21).
WWW Version.
0602
BibRef
Makadia, A.[Ameesh],
Gupta, D.[Dinkar],
Daniilidis, K.[Kostas],
Planar Ego-Motion Without Correspondences,
Motion05(II: 160-165).
WWW Version.
0502
BibRef
Ewerth, R.,
Schwalb, M.,
Tessmann, P.,
Freisleben, B.,
Estimation of arbitrary camera motion in MPEG videos,
ICPR04(I: 512-515).
WWW Version.
0409
BibRef
Nister, D.,
Naroditsky, O.,
Bergen, J.,
Visual odometry,
CVPR04(I: 652-659).
IEEE Abstract. IEEE Top Reference.
0408
BibRef
Nir, T.[Tal],
Bruckstein, A.M.[Alfred M.],
Causal Camera Motion Estimation by Condensation and Robust Statistics
Distance Measures,
ECCV04(Vol III: 119-131).
WWW Version.
0405Simultaneous localization and mapping.
BibRef
Morency, L.P.,
Gupta, R.,
Robust real-time egomotion from stereo images,
ICIP03(II: 719-722).
IEEE Abstract. IEEE Top Reference.
0312
BibRef
Vassallo, R.F.,
Santos-Victor, J.,
Schneebeli, H.J.,
A general approach for egomotion estimation with omnidirectional images,
OMNIVIS02(97-103).
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Zanker, J.M.[Johannes M.],
Zeil, J.[Jochen],
An Analysis of the Motion Signal Distributions Emerging from Locomotion
through a Natural Environment,
BMCV02(146 ff.).
HTML Version.
0303
BibRef
Franz, M.O.[Matthias O.],
Chahl, J.S.[Javaan S.],
Insect-Inspired Estimation of Self-Motion,
BMCV02(171 ff.).
HTML Version.
0303
BibRef
Jung, S.H.[Sang-Hack],
Taylor, C.J.[Camillo J.],
Camera Trajectory Estimation using Inertial Sensor Measurements and
Structure from Motion Results,
CVPR01(II:732-737).
IEEE Abstract. IEEE Top Reference.
0110SfM applied to a few key frames, not all. Use intertial sensor information.
BibRef
Yu, L.,
Dyer, C.R.,
Observer Motion Estimation and Control from Optical Flow,
ICIP01(II: 941-944).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
Yu, L.[Liangyin], and
Dyer, C.R.[Charles R.],
Shape Recovery from Stationary Surface Contours by
Controlled Observer Motion,
AIU96(177-193).
How to move to get a better view.
WWW Version.
BibRef
9600
Majchrzak, D.[Daniel],
Sarkar, S.[Sudeep],
Sheppard, B.[Barry],
Murphy, R.[Robin],
Motion Detection from Temporally Integrated Images,
ICPR00(Vol III: 836-839).
WWW Version.
HTML Version.
0009Optical flow type (foe, etc.) computations but on motion blurred images.
BibRef
Lourakis, M.I.A.[Manolis I.A.],
Egomotion Estimation Using Quadruples of Collinear Image Points,
ECCV00(II: 834-848).
WWW Version.
0003
BibRef
And:
Using Constraint Lines for Estimating Egomotion,
ACCV00(II: 971-976).
Postscript Version.
0001
BibRef
MacLean, W.J.[W. James],
Removal of Translation Bias when using Subspace Methods,
ICCV99(753-758).
WWW Version. Recover T from optic flow field.
BibRef
9900
Mandelbaum, R.,
Salgian, G.,
Sawhney, H.S.,
Correlation-based Estimation of Ego-Motion and Structure from Motion
and Stereo,
ICCV99(544-550).
WWW Version.
BibRef
9900
Toepfer, C.[Christian],
Wende, M.[Moritz],
Baratoff, G.[Gregory],
Neumann, H.[Heiko],
Robot Navigation by Combining Central and Peripheral
Optical Flow Detection on a Space-Variant Map,
ICPR98(Vol II: 1804-1807).
WWW Version.
9808
BibRef
Gluckman, J.[Joshua],
Nayar, S.K.[Shree K.],
Thoresz, K.J.[Keith J.],
Real-Time Omnidirectional and Panoramic Stereo,
DARPA98(299-303).
BibRef
9800
Gluckman, J.[Joshua], and
Nayar, S.K.[Shree K.],
Ego-Motion and Omnidirectional Cameras,
ICCV98(999-1005).
WWW Version.
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9800
Orwell, J.,
Boyce, J.F.,
Haddon, J.F.,
Ego Motion from Near-Degenerate Sequences,
ICPR96(I: 412-416).
WWW Version.
9608(Kings College London, UK)
BibRef
Tian, T.Y.[Tina Y.],
Tomasi, C.[Carlo],
Heeger, D.J.[David J.],
Comparison of Approaches to Egomotion Computation,
CVPR96(315-320).
IEEE Abstract. IEEE Top Reference.
WWW Version.
Evaluation, Optical Flow. Compares several techniques:
See also Passive Navigation.
See also Subspace Methods for Recovering Rigid Motion I: Algorithms and Implementation.
See also Direction of Heading from Image Deformations.
See also Ego Motion and a Relative Depth Map from Optical Flow. And 2 forms of:
See also 3-D Interpretation of Optical-Flow by Renormalization. (similar to
See also Simplified Linear Optical Flow-Motion Algorithm, A. )
BibRef
9600
Hagen, E.,
Heyerdahl, E.,
Navigation by Optical Flow,
ICPR92(I:700-703).
WWW Version.
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9200
Herwig, C.[Christoph],
Carmesin, H.O.[Hans-Otto],
Robust patch concept for egomotion estimation,
CAIP95(926-931).
WWW Version.
9509
BibRef
Yang, Y.B.[Yi-Bing], and
Yuille, A.[Alan],
Grouping Iso-Velocity Points for Ego-Motion Recovery,
AAAI-92(356-361).
Harvard University
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9200
Hallam, J.,
Resolving Observer Motion by Object Tracking,
IJCAI83(792-798).
BibRef
8300
Firschein, O., and
Oron, M.,
A 'Non-Correlation' Approach to Image-Based Velocity Determination,
DARPA80(195-200).
BibRef
8000
Chapter on Optical Flow Field Computations and Use continues in
Limited Ego Motion Recovery, Direction or Heading .