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Image Sequence
Linear Filtering
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Performance of Optical Flow Techniques
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Computation of component image velocity from local phase information
Computation of component image velocity from local phase information,10.1007/BF00056772,International Journal of Computer Vision,David J. Fleet,Allan
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Computation of component image velocity from local phase information
(
Citations: 482
)
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David J. Fleet
,
Allan D. Jepson
We present a technique for the computation of 2D component velocity from image sequences. Initially, the
image sequence
is represented by a family of spatiotemporal velocity-tuned linear filters. Component velocity, computed from spatiotemporal responses of identically tuned filters, is expressed in terms of the local first-order behavior of surfaces of constant phase. Justification for this definition is discussed from the perspectives of both 2D image translation and deviations from translation that are typical in perspective projections of 3D scenes. The resulting technique is predominantly linear, efficient, and suitable for parallel processing. Moreover, it is local in space-time, robust with respect to noise, and permits multiple estimates within a single neighborhood. Promising quantiative results are reported from experiments with realistic image sequences, including cases with sizeable perspective deformation.
Journal:
International Journal of Computer Vision - IJCV
, vol. 5, no. 1, pp. 77-104, 1990
DOI:
10.1007/BF00056772
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Citation Context
(268)
...The use of phase to represent local image shifts is also not unique to our model and has been used previously by other investigators to compute motion (Fleet & Jepson,
1990
; Magarey & Kingsbury,
1998
)...
Charles F. Cadieu
,
et al.
Learning Intermediate-Level Representations of Form and Motion from Na...
...They have tested these algorithms on several standard video sequences and one of their conclusion was that the phase-based technique of Fleet and Jepson
10
and the differential technique of Lucas and Kanade
22
produced the more accurate results overall...
B. Tahayna
,
et al.
Evolutionary optimization of video event classification
...Block motion estimates are computed using 8 × 8 blocks and are a coarse approximation of the pixel-level optical flow [
30
]...
Anish Mittal
,
et al.
Algorithmic assessment of 3D quality of experience for images and vide...
...phase-based methods (
Fleet and Jepson 1990
), local methods (Lucas and Kanade 1981; Bigün et al. 1991) and energy-based methods (Horn and Schunck 1981)...
Henning Zimmer
,
et al.
Optic Flow in Harmony
...Barron et al. [4] review and compare the different optical flow techniques, including [23], [31], [53], [37], [2], [47], [22], [55], and [
18
], where the 2D velocity field (u) is computed from spatial and temporal variations in the image intensity (E) patterns by minimizing a global cost function of the form...
Srinivasan Jagannathan
,
et al.
Force Estimation and Prediction from Time-Varying Density Images
References
(8)
Determining Optical Flow
(
Citations: 3942
)
Berthold K. P. Horn
,
Brian G. Schunck
Journal:
Artificial Intelligence - AI
, vol. 17, no. 1-3, pp. 185-203, 1981
Computation of optic flow from the motion of edge features in image sequences
(
Citations: 22
)
Bernard F. Buxton
,
Hilary Buxton
Journal:
Image and Vision Computing - IVC
, vol. 2, no. 2, pp. 59-75, 1984
Cubic splines for image interpolation and digital filtering
(
Citations: 338
)
Hsieh Hou
,
H. C. Andrews
Journal:
IEEE Transactions on Acoustics, Speech, and Signal Processing
, vol. 26, no. 6, pp. 508-517, 1978
The Laplacian Pyramid as a Compact Image Code
(
Citations: 2167
)
PETER J. BURT
,
EDWARD H. ADELSON
Journal:
IEEE Transactions on Communications - TCOM
, vol. 31, no. 4, pp. 532-540, 1983
Stereo disparity computation using Gabor filters
(
Citations: 203
)
T. D. Sanger
Journal:
Biological Cybernetics
, vol. 59, no. 6, pp. 405-418, 1988
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Citations
(482)
Learning Intermediate-Level Representations of Form and Motion from Natural Movies
Charles F. Cadieu
,
Bruno A. Olshausen
Journal:
Neural Computation - NECO
, vol. 24, no. 4, pp. 827-866, 2012
A Database and Evaluation Methodology for Optical Flow
(
Citations: 4
)
Simon Baker
,
Daniel Scharstein
,
J. P. Lewis
,
Stefan Roth
,
Michael J. Black
,
Richard Szeliski
Journal:
International Journal of Computer Vision - IJCV
, vol. 92, no. 1, pp. 1-31, 2011
Evolutionary optimization of video event classification
(
Citations: 1
)
B. Tahayna
,
M. Belkhatir
,
S. M. Alhashmi
,
T. ODaniel
Journal:
International Journal of Computer Mathematics - IJCM
, vol. ahead-of-p, no. ahead-of-p, pp. 1-19, 2011
Algorithmic assessment of 3D quality of experience for images and videos
(
Citations: 2
)
Anish Mittal
,
Anush K. Moorthy
,
Joydeep Ghosh
,
Alan C. Bovik
Conference:
IEEE Digital Signal Processing Workshop - DSP/SPE
, 2011
Optic Flow in Harmony
(
Citations: 1
)
Henning Zimmer
,
Andrés Bruhn
,
Joachim Weickert
Journal:
International Journal of Computer Vision - IJCV
, vol. 93, no. 3, pp. 368-388, 2011