Goodrich, G.W.[George W.],
Collision avoidance using optical pattern growth rate,
US_Patent4,257,703, 03/24/1981.
HTML Version. Basically looming.
BibRef
8103
Sawhney, H.S., and
Hanson, A.R.,
Trackability as a Cue for
Potential Obstacle Identification and 3-D Description,
IJCV(11), No. 3, December 1993, pp. 237-265.
BibRef
9312
And:
UMass-TR-92-15, February 1992.
BibRef
Earlier:
Affine Trackability Aids Obstacle Detection,
CVPR92(418-424).
IEEE Abstract. IEEE Top Reference.
BibRef
And:
Tracking, Detection and 3D Representation of Potential Obstacles Using
Affine Constraints,
DARPA92(1009-1017).
BibRef
Earlier:
Identification and 3D Description of 'Shallow'
Environmental Structure in a Sequence of Images,
CVPR91(179-185).
IEEE Abstract. IEEE Top Reference. Shallow objects (mostly flat in depth), 3-D reconstructions and
segmentation of the objects.
BibRef
Sawhney, H.S.,
Simplifying Motion and Structure Analysis Using
Planar Parallax and Image Warping,
ICPR94(A:403-408).
WWW Version.
BibRef
9400
And:
3D Geometry from Planar Parallax,
CVPR94(929-934).
IEEE Abstract. IEEE Top Reference.
BibRef
Kumar, R.,
Sawhney, H.S., and
Hanson, A.R.,
3D Model Acquisition from Monocular Image Sequences,
CVPR92(209-215).
IEEE Abstract. IEEE Top Reference.
BibRef
9200
And:
UMassCS-TR-93-5, January 1993.
Extending the shallow structure work with refinement of the structure.
BibRef
Sawhney, H.S.,
Kumar, R., and
Hanson, A.R.,
Riseman, E.M.,
Landmark-Based Navigation-Model Extension and Refinement,
UMass-CS-TR-93-6, January 1993.
See also Landmark-Based Navigation and the Acquisition of Environmental Models.
BibRef
9301
And:
Model Extension and Refinement Using Landmarks,
DARPA93(507-514).
BibRef
Kumar, R.,
Model Dependent Inference of 3D Information from a Sequence of
2D Images,
COINS- TR-92-04, 1992,
BibRef
9200
Ph.D.
BibRef
Ringach, D.L., and
Baram, Y.,
A Diffusion Mechanism for Obstacle Detection from
Size-Change Information,
PAMI(16), No. 1, January 1994, pp. 76-80.
IEEE Abstract. IEEE Top Reference.
WWW Version. Obstacles are indicated by the size change effects.
BibRef
9401
Meyer, F.G.,
Time-to-Collision from First-Order Models of the Motion Field,
RA(10), 1994, pp. 792-798.
BibRef
9400
Meyer, F.,
Bouthemy, P.,
Estimation of Time-to-Collision Maps from First Order Motion
Models and Normal Flows,
ICPR92(I:78-82).
WWW Version.
BibRef
9200
Ancona, N., and
Poggio, T.,
Optical Flow from 1D Correlation:
Application to a Simple Time-to-Crash Detector,
IJCV(14), No. 2, March 1995, pp. 131-146.
BibRef
9503
Earlier:
ICCV93(209-214).
WWW Version.
BibRef
And:
MIT AI Memo-1375, October 1993.
WWW Version.
BibRef
And: Add A2
Horn, B.K.P.,
DARPA93(673-682).
Computations only in 1-D.
BibRef
Ancona, N.,
A Fast Obstacle Detection Method Based on Optical Flow,
ECCV92(267-271).
WWW Version.
BibRef
9200
Hatsopoulos, N.,
Gabbiani, F., and
Laurent, G.,
Elementary Computation of Object Approach by a Wide-Field Visual Neuron,
Science(270), November 10, 1995, pp. 1000-1003.
Has the standard references to biological issues in optical flow and
related topics.
Not computer vision, but in a locust, a neuron's response is described by
multiplying the velocity of the image edge with an exponential function
of the size of the object's image on the retina. The product peaks before
impact, thus the locust can anticipate collision.
BibRef
9511
Burlina, P.[Philippe], and
Chellappa, R.[Rama],
Analyzing Looming Motion Components from Their
Spatiotemporal Spectral Signature,
PAMI(18), No. 10, October 1996, pp. 1029-1033.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9611
Time to Collision.
BibRef
Earlier:
Spectral and Temporal Representations of Looming and
Maneuvering Information,
ARPA94(II:1199-1207).
BibRef
And:
Spatio-temporal moments and generalized spectral analysis of divergent
images for motion estimation,
ICIP94(I: 328-332).
WWW Version.
9411
BibRef
And:
Time-to-X: Analysis of Motion through Temporal Parameters,
CVPR94(461-468).
IEEE Abstract. IEEE Top Reference.
BibRef
And:
Virtually Observable Temporal Kinematic Descriptors
for Polynomial Translations,
DraftTracking vehicle motions (i.e. limited motions).
BibRef
Santos-Victor, J.,
Sandini, G.,
Uncalibrated Obstacle Detection Using Normal Flow,
MVA(9), No. 3, 1996, pp. 130-137.
HTML Version.
9611
BibRef
Borenstein, J.,
Koren, Y.,
The Vector Field Histogram: Fast Obstacle Avoidance for Mobile Robots,
RA(7), 1991, pp. 278-288.
BibRef
9100
Borenstein, J.,
Koren, Y.,
Histogramic In-Motion Mapping for Mobile Robot Obstacle Avoidance,
RA(7), 1991, pp. 535-539.
BibRef
9100
Young, G.S.,
Herman, M.,
Hong, T.H.,
Jiang, D.,
Yang, J.C.S.,
New Visual Invariants for Terrain Navigation without 3D Reconstruction,
IJCV(28), No. 1, June 1998, pp. 45-71.
WWW Version.
9807
BibRef
Young, G.S.,
Hong, T.H.,
Herman, M.,
Yang, J.C.S.,
New Visual Invariants for Obstacle Detection Using Optical Flow
Induced from General Motion,
WACV92(100-109).
IEEE Abstract. IEEE Top Reference.
BibRef
9200
Vemuri, B.C.,
Chen, L.,
Vu-Quoc, L.,
Zhang, X.,
Walton, O.,
Efficient and Accurate Collision Detection for Granular Flow Simulation,
GMIP(60), No. 6, November 1998, pp. 403-422.
BibRef
9811
Raviv, D.[Daniel],
Joarder, K.[Kunal],
The Visual Looming Navigation Cue: A Unified Approach,
CVIU(79), No. 3, September 2000, pp. 331-363.
0008
WWW Version.
BibRef
Earlier: A2, A1:
A Novel Method to Calculate Looming Cue for Threat of Collision,
SCV95(341-346).
IEEE Top Reference.
BibRef
And:
A New Method to Calculate Looming for Autonomous Obstacle Avoidance,
CVPR94(777-780).
IEEE Abstract. IEEE Top Reference. Florida Atlantic University.
Relative change in irradiance in the image to get the change in
relative size.
Study texture and change around the fixated point.
BibRef
Gandhi, T.,
Devadiga, S.,
Kasturi, R.,
Camps, O.I.,
Detection of obstacles on runways using ego-motion compensation and
tracking of significant features,
IVC(18), No. 10, July 2000, pp. 805-815.
WWW Version.
0005
BibRef
Earlier:
Detection of Obstacles on Runway Using Ego-Motion Compensation and
Tracking of Significant Features,
WACV96(168-173).
IEEE Abstract. IEEE Top Reference.
9609
BibRef
Galbraith, J.M.,
Kenyon, G.T.,
Ziolkowski, R.W.,
Time-to-Collision Estimation from Motion Based on Primate Visual
Processing,
PAMI(27), No. 8, August 2005, pp. 1279-1291.
IEEE Abstract. IEEE Top Reference.
0506Extract velocity features, similar to, but different from, optical flow.
BibRef
Heinrich, S.,
Real Time Fusion of Motion and Stereo Using Flow/Depth Constraint for
Fast Obstacle Detection,
DAGM02(75 ff.).
HTML Version.
0303
BibRef
Tistarelli, M.,
Guarnotta, F.,
Rizzieri, D.,
Tarocchi, F.,
Application of optical flow for automated overtaking control,
WACV94(105-112).
IEEE Abstract. IEEE Top Reference.
0403
BibRef
Stöffler, N.O.,
Burkert, T.,
Färber, G.,
Real-time Obstacle Avoidance Using an MPEG-processor-based Optic Flow
Sensor,
ICPR00(Vol IV: 161-166).
WWW Version.
HTML Version.
0009
BibRef
Colombo, C.,
del Bimbo, A.,
Generalized Bounds for Time to Collision from First-Order Image Motion,
ICCV99(220-226).
WWW Version.
BibRef
9900
Lourakis, M.I.A.[Manolis I.A.],
Orphanoudakis, S.C.[Stelios C.],
Using Planar Parallax to Estimate the Time-to-Contact,
CVPR99(II: 640-645).
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9900
Sull, S.H.[Sang-Hoon],
Sridhar, B.[Banavar],
Runway Obstacle Detection by Controlled
Spatiomatic Image Flow Disparity,
CVPR96(385-390).
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9600
Fornland, P.[Pär],
Obstacle Detection and Multiple Scale Motion Estimation,
SSAB96(29-33).
BibRef
9600
Fornland, P.[Pär],
Direct Obstacle Detection and Motion from
Spatio-Temporal Derivatives,
CAIP95(874-879).
WWW Version.
9509
BibRef
Arnspang, J.[Jens],
Henriksen, K.[Knud],
Stahr, R.[Robert],
Estimating time to contact with curves, avoiding calibration and
aperture problem,
CAIP95(856-861).
WWW Version.
9509
BibRef
Seales, W.B.[W. Brent],
Measuring time-to-contact using active camera control,
CAIP95(944-949).
WWW Version.
9509
BibRef
Bobet, P.,
Schmid, C.,
Obstacle Detection Analysis,
CVPR94(796-799).
IEEE Abstract. IEEE Top Reference.
Bedrune, J.M.,
Crowley, J., were listed in an early version of the paper.
BibRef
9400
Sinclair, D.,
Boufama, B.,
Mohr, R.,
Independent Motion Segmentation and Collision Prediction for
Road Vehicles,
CVPR94(958-961).
IEEE Abstract. IEEE Top Reference.
BibRef
9400
And:
ECCV94(A:159-166).
WWW Version.
BibRef
Lawn, J.M.,
Cipolla, R.,
Robust Egomotion Estimation from Affine Motion Parallax,
ECCV94(A:205-210).
WWW Version.
Postscript Version.
BibRef
9400
Lawn, J.M.[Jonathan M.],
Cipolla, R.[Roberto],
Epipole Estimation Using Affine Motion-Parallax,
BMVC93(379-388).
Cambridge Univ.
HTML Version.
Postscript Version.
BibRef
9300
Cipolla, R.,
Okamoto, Y., and
Kuno, Y.,
Robust Structure from Motion using Motion Parallax,
ICCV93(374-382).
WWW Version.
BibRef
9300
Ahuja, N.,
Chien, R.T.,
Yen, R., and
Bridwell, N.,
Interference Detection and Collision Avoidance Among
Three Dimensional Objects,
AAAI-80(44-48).
BibRef
8000
Chapter on Optical Flow Field Computations and Use continues in
Fluid Flow, Data Visualization .