Apparatus and method for spatio-temporal alignment of image...

Image analysis – Image transformation or preprocessing – Changing the image coordinates

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C345S215000, C348S036000

Reexamination Certificate

active

09852891

ABSTRACT:
A method and system for aligning in at least one of time and space temporally ordered sequences of images comprising receiving a plurality of sequences of images, each sequence including a multiplicity of images, each plurality of sequences defining a space-time volume, and providing an output indication relating at least one point in a space-time volume corresponding to one of the plurality of sequences to at least one point in a space-time volume corresponding to at least another one of the plurality of sequences.

REFERENCES:
patent: 4720633 (1988-01-01), Nelson
patent: 4880976 (1989-11-01), Mancuso et al.
patent: 5294978 (1994-03-01), Katayama
patent: 5412211 (1995-05-01), Knowles
patent: 5523786 (1996-06-01), Parulski
patent: 5789748 (1998-08-01), Liu et al.
patent: 5798798 (1998-08-01), Rector et al.
patent: 5892554 (1999-04-01), Dicicco et al.
patent: 5920657 (1999-07-01), Bender et al.
patent: 5982350 (1999-11-01), Hekmatpour et al.
patent: 5987164 (1999-11-01), Szeliski et al.
patent: 5988863 (1999-11-01), Demos
patent: 5999662 (1999-12-01), Burt et al.
patent: 6075905 (2000-06-01), Herman et al.
patent: 6078701 (2000-06-01), Hsu et al.
patent: 6320624 (2001-11-01), Ayer et al.
patent: 6340991 (2002-01-01), Chen et al.
patent: 6393163 (2002-05-01), Burt et al.
patent: 6442163 (2002-08-01), Chopping
patent: 6447450 (2002-09-01), Olstad
patent: 6459482 (2002-10-01), Singh et al.
patent: 6482090 (2002-11-01), Rimoto et al.
patent: 6714216 (2004-03-01), Abe
patent: 0 551 595 (1993-07-01), None
patent: 2000-76423 (2000-03-01), None
patent: 96/15508 (1996-05-01), None
patent: 99/37088 (1999-07-01), None
L. Lee, et al., “Monitoring Activities from Multiple Video Streams: Establishing a Common Coordinate Frame”, IEEE Trans. on Pattern Analysis and Machine Intelligence, (Special Issue on Video Surveillance and Monitoring), 2000.
I. Reid and Zisserman, “Goal-Directed Video Metrology”, European Conference on Computer Vision, pp. 647-658, 1996.
G.P.Stein, “Tracking from Multiple View Points: Self-Calibration of Space and Time”, DARPA IU Workshop, pp. 1037-1042, 1998.
R. Szeliski, et al., “Creating Full View Panoramic Image Mosaics and Environments Maps”, Computer Graphics Proceedings, Annual Conference Series, 8, 1997.
P.H.S. Torr, et al., “Feature Based Methods for Structure and Motion Estimation”, Vision Algorithms Workshop, pp. 279-290, Corfu, 1999.
M. Irani, et al., “Robust Multi-Sensor Image Alignment”, IEEE International Conference on Computer Vision (ICCV), India, Jan. 1998.
W.E.L. Grimson, et al., “Forest of Sensors: Using Adaptive Tracking to Classify and Monitor Activities in a Site”, DARPA ONR Workshop, pp. 33-41, 1998.
M. Irani, et al., “Recovery of Ego-Motion Using Region Alignment”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(3), Mar. 1997, pp. 268-272.
M. Irani, et al., “Computing Occluding and Transparent Motions”, International Journal of Computer Vision, vol. 12, Feb. 1994, pp. 5-16.
H. Sawhney, et al., “True Multi-Image Alignment and Its Application to Mosaicing and Lens Distortion Correction”, IEEE Conference on Computer Vision and Pattern Recognition, 1997, pp. 450-456.
J.R. Bergen, et al., “Hierarchical Model-Based Motion Estimation”, European Conference on Computer Vision, pp. 237-252, 1992.
M.A. Giese, et al., “Synthesis and Recognition of Biological Motion Patterns on Linear Superposition Prototypical Motion Sequences”, International Conference on Computer Vision, pp. 73-80, 1998.
E. Grimson, et al., “A Forest of Sensors”, International Conference on Computer Vision, pp. 45-51, 1997.
M. Irani, et al., “About Direct Methods”, Vision Algorithms Workshop, pp. 267-277, Corfu, 1999.
J. R. Bergen, P. Anandan, K. J. Hanna, and R. Hingorani. Hierarchical model-based motion estimation. In European Conference on Computer Vision, pp. 237-252, 1992.
J. R. Bergen, P.J. Burt, R. Hingorani, and S. Peleg. A three frame algorithm for estimating two-component image motion. IEEE Trans. on Pattern Analysis and Machine Intelligence, 14:886-896, Sep. 1992.
P. J. Burt and E. H. Adelson The laplacian pyramid as a compact image code. IEEE Transcations on Communication, 31:532-540,1983.
Olivier Faugeras. Three-Dimensional Computer Vision--A Geometric Viewpoint MIT Press, Cambridge, Mass., 1996.
M. A. Fischler and R. C. Bolles. Ransac random sample concensus: a paradigm for model fitting with applications to image analysis and automated cartography, In Communications of the ACM, vol. 26, 1981.
F. R. Hampel, P. J. Rousseeuw, and and W. A. Stahel E. Ronchetti. Robust Statistics: The Approach Based on Influence Functions. John Wiley, New York, 1986. A Book.
K. Hanna. Direct multi-resolution estimation of ego-motion and structure from motion. In IEEE Workshop ob Visual Motion, pp. 156-162, Princeton, N.J.,.
C. G. Harris and M. Stephens. A combined corner and edge detector. In 4th Alvey Vision Conference, 1988.
B. K. P. Horn and B. G. Schunck. Determining optical flow. Artificial Intelligence, 17:185-203, 1981.
M. Irani and P. Anandan. Parrallax geometry of pairs of points for 3d scence analysis. In European Conference on Computer Vision, Cambridge, UK, Apr. 1996.
M. Irani, B. Rousso, and S. Peleg. Detecting and tracking multiple moving objects using temporal integration. In European Conference on Computer Vision, pp. 282-287, Santa Margarita Ligure, may 1992.
M. Irani, P. Anandan, J. Bergen, R. Kumar, and S. Hsu, Efficient Representation of Video Sequences and Their Applications. Signal Processing: Image Communication, special issue on Image and Video Semantics: Processing, Analysis, and Application, vol. 8, No. 4, May 1996.
Paul Viola and William M. Wells III, “Alignment by maximization of mutual infromation,” International Journal of Computer Vision (LJCV),24(2): 137-154, 1997.
Y. Caspi and M. Irani. A step towards sequence-to-sequence alignment. In IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island, S.C., Jun. 2000.
R. Kumar, P. Anandan, and K. Hanna. Direct recovery of shape from multiple views: a parallax based approach. In Proc 12th ICPR, pp. 685-688, 1994.
Harpreet Sawhney. 3d geometry from planar parallax. In IEEE Conference on Computer Vision and Pattern Recognition, Jun. 1994.
Z. Zhang, R. Deriche, O. Faugeras, and Q. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence, 78:87-119, 1995.
Pissinou, N., et al., “A Topological-Directional Model for the Spatio-Temporal Composition of Video Objects”,IEEE, Feb. 1998, pp. 17-24.
Tsai, R.Y., et al., “A New Technique for Full Autonomous and Efficient 3D Robotics Hand/Eye Calibration”,IEEE Journal of Robotics and Automation, Jun. 1989, pp. 345-358.
Zisserman, A, et al., “Metric Calibration of A Stereo Rig”,Workshop on Representations of Visual Scenes, 1995, pp. 93-100.
Irani, M., et al., “From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications”,European Conference on Computer Vision, Freiburg, Jun. 1998, 15 pages.
Shashua, A., et al, “Relative Affine Structure: Theory and Application to 3D Reconstruction from Perspective Views”,IEEE Conference on Computer Vision and Pattern Recognition, Seattle WA, Jun. 1994, pp. 483-489.
Hartley, R. I., “In Defence of the 8-point Algorithm”,In Pattern Recognition and Machine Intelligence19, Jun. 6, 1997, pp. 580-593.
Horaud, R., et al., “Hand-Eye Calibration”,International Journal of Robotics Research14(3), Jun. 1995, pp. 195-210 (reprinted 1-28).
Avidan, S., et al., “Threading Fundamental Matrices”,In European conference on Computer Vision, 1998, pp. 1-10.
Beardsley, P., et al, “3D Model Acquisition from Extended Image Sequences”,In proc4thEuropean Conference on Computer Vision, LNCS1065,Cambridge, 1996, pp

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Apparatus and method for spatio-temporal alignment of image... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Apparatus and method for spatio-temporal alignment of image..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Apparatus and method for spatio-temporal alignment of image... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3957433

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.