Image analysis – Applications – 3-d or stereo imaging analysis
Reexamination Certificate
2006-04-18
2006-04-18
Chawan, Sheela (Department: 2623)
Image analysis
Applications
3-d or stereo imaging analysis
C382S264000, C382S285000, C345S422000
Reexamination Certificate
active
07031512
ABSTRACT:
An image processing system and method for smoothing irregularities from 3D image information that was reconstructed from a plurality of 2D views of a scene, and particularly from homogeneous surfaces of objects in a scene. The method defines a window that overlaps a plurality of pixels of one of a plurality of 2D image views of a scene. Each pixel is associated with predefined 3D depth information, and further is associated with a matching curve. A subject pixel is located within the plurality of pixels overlapped by the window. The method calculates an average 3D depth information associated with the plurality of pixels overlapped by the window, and assigns the calculated average 3D depth information to the 3D depth information of the subject pixel, if the calculated average 3D depth information is within an error region of a matching curve associated with the subject pixel.
REFERENCES:
patent: 5818959 (1998-10-01), Webb et al.
patent: 6856314 (2005-02-01), Ng
C. Tomasi and R. Manduchi, “Stereo Without Search”,European Conference on Computer Vision,pp. 452-465, 1996.
C. Tomasi and R. Manduchi, “Stereo Matching as a Nearest-Neighbor Problem”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, No. 3, pp. 333-340, Mar. 1998.
Kim C. Ng, Mohan M. Trivedl, and Hiroshi Ishiguro, “Range-Space Approach for Generalized Multiple Baseline Stereo and Direct Virtual View Synthesis”,IEEE Workshop on Stereo and Multi-Baseline Vision,Dec. 2001, pp. 1-10.
B. Heigl, R. Koch, M. Pollefeys, J. Denzler and L. Van Gool, “Plenoptic Modeling and Rendering from Image Sequences Taken by Hand-Held Camera”,Proc. of DAGM,Sep. 1999, pp. 596-603.
S. Marapane and M. Trivedi, “Multi-Primitive Hierarchical (MPH) Stereo Analysis”,IEEE Transactions on Pattern Analysis and Machine Intelligence,vol. 16, No. 3, Mar. 1994, pp. 227-240.
P. Rander, P. Narayanan and T. Kanade, “Recovery of Dynamic Scene Structure from Multiple Image Sequences”,Proc. Of International Conference on Multisensor Fusion and Integration for Intelligent Systems,pp. 305-312, Dec. 1996.
Kim C. Ng, Mohan M. Trivedi and Hiroshi Ishiguro, “Generalized Multiple Baseline Stereo and Direct Virtual View Synthesis Using Range-Space Search, Match and Render”,International Journal of Computer Vision,2002, pp. 1-13.
Kim C. Ng, “3D Visual Modeling and Virtual View Synthesis: A Synergetic, Range-Space Stereo Approach Using Omni-Directional Images”, Ph.D. Dissertation, University of California, San Diego, Mar. 2000, Chapters 5-8.
Kim C. Ng, Mohan Trivedi and Hiroshi Ishiguro, “Ubiquitous Vision System: Virtual View Synthesis by Integrating Wide-Baseline Stereo and View Rendering”,IEEE Multimedia Journal,Sep. 2001, pp. 1-18.
Kim C. Ng, Mohan Trivedi and Hiroshi Ishiguro, “3D Ranging and Virtual View Generation Using Omni-view Cameras”,Proc. Multimedia Systems and Applications, SPIE,vol. 3528, Boston, Nov. 1998.
Kim C. Ng, Hiroshi Ishiguro, Mohan Trivedi and Takushi Sogo, “Monitoring Dynamically Changing Environments by Ubiquitous Vision System”,IEEE Workshop on Visual Surveillance,Colorado, Jun. 1999, pp. 67-73.
Kim C. Ng, Hiroshi Ishiguro, Mohan Trivedi and Takushi Sogo, “An Integrated Surveillance System-Human Tracking and View Synthesis Using Multiple Omni-Directional Vision Sensors”,Image and Vision Computing Journal,Jun. 2002.
Kim C. Ng, Hiroshi Ishiguro and Mohan Trivedi, “Multiple Omni-Directional Vision Sensors (ODVS) Based Visual Modeling Approach”, Conference & Video Proc. Of IEEE Visualization, San Francisco, California, Oct. 1999.
K. Kutulakos and S. Seitz, “A Theory of Shape by Space Carving”, International Journal of Computer Vision, vol., 38, No. 3, pp. 199-218, Mar. 2000.
George Chen, and Gerald Medioni, “ Practical Algorithms for Stratified Structure-from-Motion”, Image and Vision Computing, vol. 20, pp. 103-123, received Aug. 16, 2000; received in revised form on Aug. 11, 2001 and accepted on Nov. 6, 2001.
Bongini Stephen C.
Chawan Sheela
Jorgenson Lisa K.
STMicroelectronics Inc.
LandOfFree
Method and system for 3D smoothing within the bound of error... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and system for 3D smoothing within the bound of error..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for 3D smoothing within the bound of error... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3557598