17.6 Optical Flow Field -- Information Extraction

17.6.1 Egomotion or Ego Motion Computation from Flow Fields

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. See also Local Structure of Movement Parallax of the Plane. 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.
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. 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).
IEEE DOI Link BibRef 9000

Negahdaripour, S.,
Motion Recovery from Image Sequences Using Only First Order Optical Flow Information,
IJCV(9), No. 3, 1992, pp. 163-184.
Springer DOI Link 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.
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

Lawton, T.B.[Teri B.],
Method and apparatus for predicting the direction of movement in machine vision,
US_Patent5,109,425, Apr 28, 1992
WWW Version. BibRef 9204

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.
Springer DOI Link 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.[David J.], Jepson, A.D.[Allan D.],
Method and apparatus for image processing to obtain three dimensional motion and depth,
US_Patent4,980,762, Dec 25, 1990
WWW Version. BibRef 9012

Heeger, D.J., Jepson, A.D.,
Simple Method for Computing 3D Motion and Depth,
ICCV90(96-100).
IEEE DOI Link 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. 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.
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.
Springer DOI Link 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.
Springer DOI Link BibRef 9409
Earlier:
Robust ego-motion estimation,
BMVC90(xx-yy).
PDF Version. 9009
BibRef

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.
Springer DOI Link BibRef 9506
Earlier: ICCV93(703-712).
IEEE DOI Link 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.
WWW Version. 9710
BibRef
And:
Egomotion Estimation on a Topological Space,
ICPR98(Vol I: 64-66).
IEEE DOI Link 9808
BibRef

Silva, C.[César], and Santos-Victor, J.[José],
Egomotion Estimation Using Log-Polar Images,
ICCV98(967-972).
IEEE DOI Link BibRef 9800

Silva, C.[César], and Santos-Victor, J.[José],
Direct Egomotion Estimation,
ICPR96(I: 702-706).
IEEE DOI Link 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

Brooks, M.J., Chojnacki, W., van den Hengel, A.J., Baumela, L.,
Robust Techniques for the Estimation of Structure from Motion in the Uncalibrated Case,
ECCV98(I: 281).
WWW Version. BibRef 9800

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.
WWW Version. 9704
BibRef
Earlier:
Recovery of Ego-Motion Using Image Stabilization,
CVPR94(454-460).
IEEE Abstract. BibRef
Earlier:
Robust recovery of ego-motion,
CAIP93(371-378).
Springer DOI Link 9309
2D 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).
IEEE DOI Link 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).
IEEE DOI Link 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).
IEEE DOI Link
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. 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.
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.
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. 0003
3-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

Ota, T.[Takaaki], Schaffer, M.[Mark],
Video motion vector detection including rotation and/or zoom vector generation,
US_Patent6,236,682, May 22, 2001
WWW Version. BibRef 0105

Mandelbaum, R.[Robert], Salgian, G.[Garbis], Sawhney, H.S.[Harpreet Singh],
Method and apparatus for estimating scene structure and ego-motion from multiple images of a scene using correlation,
US_Patent6,307,959, Oct 23, 2001
WWW Version. BibRef 0110
And:
Correlation-based Estimation of Ego-Motion and Structure from Motion and Stereo,
ICCV99(544-550).
IEEE DOI Link BibRef

Wang, H.[Han], Song, W.L.[Wei-Lin],
Correction of bias for motion estimation algorithms,
PRL(23), No. 13, November 2002, pp. 1505-1514.
HTML Version. 0206
Egomotion 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).
IEEE DOI Link 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).
IEEE DOI Link 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. 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
Earlier:
Robust Instantaneous Rigid Motion Estimation,
CVPR05(II: 980-985).
IEEE DOI Link 0507
Egomotion; Optic flow; Calibrated camera; Local minima; Reweighting Estimation of rigid camera motion from instantaneous velocity measurements. BibRef

Pauwels, K.[Karl], Van Hulle, M.M.[Marc M.],
Optic flow from unstable sequences through local velocity constancy maximization,
IVC(27), No. 5, 2 April 2009, pp. 579-587.
Elsevier DOI Link
WWW Version. 0904
BibRef
Earlier:
Optic Flow from Unstable Sequences containing Unconstrained Scenes through Local Velocity Constancy Maximization,
BMVC06(I:397).
PDF Version. 0609
Multiscale optic flow; Video stabilization; Phase-based techniques BibRef

Burl, M.C.[Michael Christopher], Pirjanian, P.[Paolo],
Systems and methods for the automated sensing of motion in a mobile robot using visual data,
US_Patent7,162,056, Jan 9, 2007
WWW Version. BibRef 0701

Kim, S.W.[Se Wan], Hong, C.H.[Chan Hee],
Mobile robot using image sensor and method for measuring moving distance thereof,
US_Patent7,171,285, Jan 30, 2007
WWW Version. BibRef 0701

Dong, H., Hsiang, S.M., Smith, J.L.,
An Optimal-Control Model of Vision-Gait Interaction in a Virtual Walkway,
SMC-B(39), No. 1, February 2009, pp. 156-166.
IEEE DOI Link 0902
Model vision-posture coupling for astronaut locomotion in partial gravity. optical flow stabilization. BibRef

Hu, C.X.[Chuan-Xin], Cheong, L.F.[Loong Fah],
Linear Quasi-Parallax SfM Using Laterally-Placed Eyes,
IJCV(84), No. 1, August 2009, pp. xx-yy.
Springer DOI Link 0905
BibRef
Earlier:
Linear ego-motion recovery algorithm based on quasi-parallax,
ICIP08(233-236).
IEEE DOI Link 0810
Visual systems with multiple eyes and little overlap in visual fields. BibRef

Ngo, T.T.[Trung Thanh], Kojima, Y.[Yuichiro], Nagahara, H.[Hajime], Sagawa, R.[Ryusuke], Mukaigawa, Y.[Yasuhiro], Yachida, M.[Masahiko], Yagi, Y.S.[Yasu-Shi],
Real-Time Estimation of Fast Egomotion with Feature Classification Using Compound Omnidirectional Vision Sensor,
IEICE(E93-D), No. 1, January 2010, pp. 152-166.
WWW Version. 1001
BibRef

Alenya, G., Torras, C.,
Camera motion estimation by tracking contour deformation: Precision analysis,
IVC(28), No. 3, March 2010, pp. 474-490.
Elsevier DOI Link
WWW Version. 1001
Egomotion estimation; Active contours; Precision analysis; Unscented transformation BibRef

Hao, J.[Jia], Shibata, T.[Tadashi],
An Ego-Motion Detection System Employing Directional-Edge-Based Motion Field Representations,
IEICE(E93-D), No. 1, January 2010, pp. 94-106.
WWW Version. 1001
BibRef

Almeida, J.[Jurandy], Minetto, R.[Rodrigo], Almeida, T.A.[Tiago A.], da S. Torres, R.[Ricardo], Leite, N.J.[Neucimar J.],
Robust Estimation of Camera Motion Using Optical Flow Models,
ISVC09(I: 435-446).
Springer DOI Link 0911
BibRef

Mannadiar, R.[Raphael],
Efficient Online Egomotion Estimation Using Visual and Inertial Readings,
CRV09(244-251).
IEEE DOI Link 0905
BibRef

Pagel, F.[Frank],
Robust Monocular Egomotion Estimation Based on an IEKF,
CRV09(213-220).
IEEE DOI Link 0905
BibRef

Raudies, F.[Florian], Neumann, H.[Heiko],
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow,
DAGM09(11-20).
Springer DOI Link 0909
BibRef

Toriu, T., Fukumoto, H.,
A learning method for association between vision and ego-motion which is Capable of Adapting to Arbitrary Image Distortion,
IVCNZ08(1-6).
IEEE DOI Link 0811
BibRef

Kim, M.W.[Min-Woo], Oh, I.S.[Il-Seok],
Estimation of rapid-motion for mobile devices using temporal coherence,
IVCNZ08(1-6).
IEEE DOI Link 0811
BibRef

Makkapati, V.[Vishnu],
Robust Camera Pan and Zoom Change Detection Using Optical Flow,
NCVPRIPG08(73-78). BibRef 0800

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).
IEEE DOI Link 0709
BibRef

Zhang, X.[Xiang], Genc, Y.,
Bootstrapped real-time ego motion estimation and scene modeling,
3DIM05(514-521).
IEEE DOI Link 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).
IEEE DOI Link 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).
IEEE DOI Link 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).
IEEE DOI Link 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).
IEEE DOI Link 0505
BibRef

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Chapter on Optical Flow Field Computations and Use continues in
Limited Ego Motion Recovery, Direction or Heading .