17.6.2 Focus of Expansion and Other Features

Chapter Contents (Back)
Optical Flow, Features. Motion, FOE. Focus of Expansion. Collision Detection. Time to Collision. Time to Impact.

Schalkoff, R.J.,
Distributed Parameter Systems Approach to Feature Extraction and Motion Estimation in Image Sequences,
IVC(1), No. 4, November 1983, pp. 227-233.
WWW Version. BibRef 8311

Schalkoff, R.J.,
Analysis of the Weak Solution Approach to Image Motion Estimation,
PR(20), No. 2, 1987, pp. 189-197.
WWW Version. BibRef 8700
Earlier:
Image Motion Analysis Using the Concept of Weak Solutions to Distributed Parameter Systems,
CVPR83(232-239). The discussion does not compare itself to other techniques. BibRef

Schalkoff, R.J.,
Dynamic Imagery Modeling and Motion Estimation Using Weak Formulations,
PAMI(9), No. 4, July 1987, pp. 578-584. A feature based approach. Unclear where it fits in. BibRef 8707

Subbarao, M.,
Bounds on Time-to-Collision and Rotational Component from First-Order Derivatives of Image Flow,
CVGIP(50), No. 3, June 1990, pp. 329-341.
WWW Version. BibRef 9006
Earlier:
Bounds on Translational and Angular Velocity Components from First Order Derivatives of Image Flow,
AAAI-87(744-748). For rigid motion. BibRef

Negahdaripour, S., and Horn, B.K.P.,
A Direct Method for Locating the Focus of Expansion,
CVGIP(46), No. 3, June 1989, pp. 303-326.
WWW Version. BibRef 8906
And: MIT AI Memo-939, January 1987. The FOE is in front of the camera, this reduces the ambiguities. Analyze the spatial gradient and change in brightness to get the FOE. BibRef

Negahdaripour, S., and Horn, B.K.P.,
Using Depth-is-Positive Constraint to Recover Translational Motion,
CVWS87(138-144). BibRef 8700

Negahdaripour, S., and Ganesan, V.,
Simple Direct Computation of the FOE with Confidence Measures,
CVPR92(228-235).
IEEE Abstract. IEEE Top Reference. Estimate the FOE (many estimates), compute a new one from these estimates. BibRef 9200

Jain, R.C.[Ramesh C.],
Direct Computation of the Focus of Expansion,
PAMI(5), No. 1, January 1983, pp. 58-64. Log Mapping. BibRef 8301
Earlier:
An Approach for the Direct Computation of the Focus of Expansion,
PRIP82(262-268). The focus of expansion is useful for computing the optic flow. This paper seems to give a method that works for very clean data with a moving observer. The FOE can be outside of the image. BibRef

Jain, R.C.[Ramesh C.],
Complex Logarithmic Mapping and the Focus of Expansion,
Motion83(42-49). Log Mapping. This introduces the mapping that he is using in the other recent (83-84) papers. BibRef 8300

Campani, M., and Verri, A.,
Motion Analysis from First-Order Properties of Optical Flow,
CVGIP(56), No. 1, July 1992, pp. 90-107.
WWW Version. BibRef 9207

Campani, M., and Verri, A.,
Computing Optical Flow from an Overconstrained System of Linear Algebraic Equations,
ICCV90(22-26).
WWW Version. BibRef 9000
And:
An Algebraic Procedure for the Computation of Optical Flow from First Order Derivatives of the Image Brightness,
Robust90(xx). BibRef

Poggio, T.[Tomaso], Verri, A.[Alessandro], Torre, V.[Vincent],
Green Theorems and Qualitative Properties of the Optical Flow,
MIT AI Memo-1289, April 1991.
WWW Version. BibRef 9104

Tistarelli, M., and Sandini, G.,
On the Advantage of Polar and Log-Polar Mapping for Direct Estimation of Time-to-Impact from Optical Flow,
PAMI(15), No. 4, April 1993, pp. 401-410.
IEEE Abstract. IEEE Top Reference.
WWW Version. Log Mapping. See also Dynamic Aspects in Active Vision. Using a Log-Polar sensor the basic computations are easier. Time to impact computations. BibRef 9304

Tistarelli, M., and Sandini, G.,
Direct Estimation of Time-to-Impact from Optical Flow,
Motion91(226-233). Active Vision, Sensor. Log Mapping. Using a CLM like sensor for depth computation. BibRef 9100

Sandini, G., and Tistarelli, M.,
Robust Obstacle Detection Using Optical Flow,
Robust90(xx). BibRef 9000

Pollastri, F.,
Projection Center Calibration by Motion,
PRL(14), No. 12, December 1993, pp. 975-983. BibRef 9312

Li, H.,
Global Interpretation Of Optical Flow Field: A Least-Squares Approach,
ICPR92(I:668-671).
WWW Version. BibRef 9200

Enkelmann, W.,
Obstacle Detection by Evaluation of Optical Flow Fields from Image Sequences,
IVC(9), No. 3, June 1991, pp. 160-168.
WWW Version. BibRef 9106
Earlier: ECCV90(134-138).
WWW Version. BibRef

Negahdaripour, S.,
Direct Computation of the FOE with Confidence Measures,
CVIU(64), No. 3, November 1996, pp. 323-350. 9612
WWW Version. BibRef

Heikkonen, J.[Jukka],
Recovering 3-D Motion Parameters from Optical Flow Field Using Randomized Hough Transform,
PRL(16), 1995, pp. 971-978. BibRef 9500
Earlier:
Recovering translational motion parameters from image sequences using Randomized Hough Transform,
CAIP93(395-402).
WWW Version. 9309 BibRef

Heikkonen, J.,
Video recording and digital image processing in analyzing air flows,
ICPR92(I:129-132).
WWW Version. 9208 BibRef

Arnspang, J., Ma, J.,
Image Irradiance Equations for a Zooming Camera,
PRL(10), 1989, pp. 189-194. BibRef 8900

Branca, A., Stella, E., Attolico, G., Distante, A.,
Focus of Expansion Estimation by an Error Backpropagation Neural-Network,
NeurCompApp(6), No. 3, 1997, pp. 142-147. 9803 BibRef

Florack, L.M.J., Niessen, W.J., Nielsen, M.,
The Intrinsic Structure of Optic Flow Incorporating Measurement Duality,
IJCV(27), No. 3, May 1998, pp. 263-286.
WWW Version. 9805 BibRef

Nielsen, M.[Mads], Niessen, W.J., Maas, R., Florack, L.M.J., ter Haar Romeny, B.M.,
On the Duality of Scalar and Density Flows,
ScaleSpace97(xx). 9702 BibRef

Olsen, O.F.[Ole Fogh], Nielsen, M.[Mads],
The Generic Structure of the Optic Flow Field,
JMIV(24), No. 1, January 2006, pp. 37-53.
WWW Version. 0605 BibRef
Earlier: A2, A1:
The structure of the optic flow field,
ECCV98(II: 271).
WWW Version. BibRef

Olsen, O.F.[Ole Fogh], Nielsen, M.,
Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation,
ScaleSpace97(xx). 9702 BibRef

McQuirk, I.S., Horn, B.K.P., Lee, H.S., Wyatt, J.L.,
Estimating the Focus of Expansion in Analog VLSI,
IJCV(28), No. 3, July/August 1998, pp. 261-277.
WWW Version. 9809 BibRef

Duric, Z.[Zoran], Rosenfeld, A.[Azriel], Duncan, J.[James],
The Applicability of Green's Theorem to Computation of Rate of Approach,
IJCV(31), No. 1, February 1999, pp. 83-98.
WWW Version. BibRef 9902
Earlier: A1, A3, A2: ARPA94(II:1209-1217). BibRef

Cucka, P.[Peter], Duric, Z.[Zoran], Rivlin, E.[Ehud], Rosenfeld, A.[Azriel],
Qualitative Description of Camera Motion and Scene Depth from Histograms of Normal Flow,
UMD--TR3925, August 1998. Flow Histogram.
WWW Version.
WWW Version. BibRef 9808

Duric, Z.[Zoran], Rivlin, E.[Ehud], Rosenfeld, A.[Azriel],
Quantative Description of Camera Motion from Histograms of Normal Flow,
DARPA98(979-986). BibRef 9800

Duric, Z.[Zoran], Rivlin, E.[Ehud], Rosenfeld, A.[Azriel],
Qualitative Description of Camera Motion from Histograms of Normal Flow,
ICPR00(Vol III: 194-198).
WWW Version.
HTML Version. 0009 BibRef

Menéndez, J.M.[José M.], García, N.[Narciso], Salgado, L.[Luis], Rendón, E.[Enrique],
Model-based analytical FOE determination,
SP:IC(14), No. 10, August 1999, pp. 785-798.
WWW Version. BibRef 9908
Earlier:
An algorithm for FOE localization,
ICIP96(III: 811-814).
WWW Version. 9610 BibRef

Srinivasan, S.[Sridhar],
Extracting Structure from Optical Flow Using the Fast Error Search Technique,
IJCV(37), No. 3, June 2000, pp. 203-230.
WWW Version. 0008 BibRef
And: UMD--TR3923, August 1998. Fast Partial Search.
WWW Version.
WWW Version. BibRef

Srinivasan, S.,
Fast Partial Search Solution to the 3D SFM Problem,
ICCV99(528-535).
WWW Version. BibRef 9900
And:
Fast FOE Estimation with Applications to Depth Estimation and View Synthesis,
DARPA98(987-994). FOE estimation from optical flow. BibRef

Yeasin, M.[Mohammed],
Optical Flow in Log-Mapped Image Plane-A New Approach,
PAMI(24), No. 1, January 2002, pp. 125-131.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0201New approach allows for image intensity variations. BibRef

Sazbon, D.[Didi], Rotstein, H.[Héctor], Rivlin, E.[Ehud],
Finding the focus of expansion and estimating range using optical flow images and a matched filter,
MVA(15), No. 4, October 2004, pp. 229-236.
WWW Version. 0410 BibRef

Xiong, Y.[Yalin], Olson, C.F.[Clark F.], Matthies, L.H.[Larry H.],
Computing Depth Maps from Descent Imagery,
MVA(16), No. 3, May 2005, pp. 139-147.
WWW Version. 0505 BibRef
Earlier: CVPR01(I:392-397).
IEEE Abstract. IEEE Top Reference. 0110Depth maps from descending space probes. BibRef

Wu, F.C., Wang, L., Hu, Z.Y.,
FOE estimation: Can image measurement errors be totally 'corrected' by the geometric method?,
PR(40), No. 7, July 2007, pp. 1971-1980.
WWW Version. 0704FOE estimation; Geometric method; Inherent constraint BibRef

Kameda, Y.[Yusuke], Imiya, A.[Atsushi],
The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion,
HumMotBook08(4). 0802 BibRef
Earlier:
Classification of Optical Flow by Constraints,
CAIP07(61-68).
WWW Version. 0708 BibRef

Suhr, J.K.[Jae Kyu], Jung, H.G.[Ho Gi], Bae, K.H.[Kwang-Hyuk], Kim, J.H.[Jai-Hie],
Outlier rejection for cameras on intelligent vehicles,
PRL(29), No. 6, 15 April 2008, pp. 828-840.
WWW Version. 0803Outlier rejection; Motion constraint; Focus of expansion; Automobile motion; Intelligent vehicle BibRef

Markussen, B.[Bo], Sporring, J.[Jon], Erleben, K.[Kenny],
Guessing Tangents in Normal Flows,
JMIV(31), No. 2-3, July 2008, pp. 195-205.
WWW Version. 0711 BibRef


Kameda, Y.[Yusuke], Imiya, A.[Atsushi], Ohnishi, N.[Naoya],
A Convergence Proof for the Horn-Schunck Optical-Flow Computation Scheme Using Neighborhood Decomposition,
IWCIA08(xx-yy).
WWW Version. 0804 BibRef

Ohnishi, N.[Naoya], Kameda, Y.[Yusuke], Imiya, A.[Atsushi], Dorst, L.[Leo], Klette, R.[Reinhard],
Dynamic Multiresolution Optical Flow Computation,
RobVis08(1-15).
WWW Version. 0802 BibRef

Gebert, G., Snyder, D., Lopez, J., Siddiqi, N., Evers, J.,
Optical flow angular rate determination,
ICIP03(I: 949-952).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Salgian, G.[Garbis], Ballard, D.H.[Dana H.],
Looming Detection in Log-Polar Coordinates,
DARPA98(165-170). BibRef 9800

Fleet, D.J.[David J.], Black, M.J.[Michael J.], Jepson, A.D.[Allan D.],
Motion Feature Detection Using Steerable Flow Fields,
CVPR98(274-281).
IEEE Abstract. IEEE Top Reference. BibRef 9800

Branca, A., Stella, E., and Distante, A.,
Passive Navigation Using Focus of Expansion,
WACV96(64-69).
IEEE Abstract. IEEE Top Reference. 9609 BibRef

Carlsson, S., and Eklundh, J.O.,
Object Detection Using Model Based Prediction and Motion Parallax,
ECCV90(297-306).
WWW Version. Optic flow is not as expected, thus an obstacle. BibRef 9000

Guissin, R., Ullman, S.,
Direct Computation of the Focus of Expansion from Velocity Field Measurements,
Motion91(146-155). Log-Polar. BibRef 9100

Chapter on Optical Flow Field Computations and Use continues in
Obstacle Detection, Time to Collision Techniques .


Last update:Jun 25, 2008 at 13:37:57