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Title: US6064749: Hybrid tracking for augmented reality using both camera motion detection and landmark tracking
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Country: US United States of America

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Inventor: Hirota, Gentaro; Carrboro, NC 28510
State, Andrei; Chapel Hill, NC 27516

Assignee: None

Published / Filed: 2000-05-16 / 1996-08-02

Application Number: US1996000691684

IPC Code: Advanced: G06K 9/00; G06T 7/00;
Core: more...
IPC-7: G06K 9/00;

ECLA Code: G06T7/00P; G06F3/01B;

U.S. Class: 382/103; 345/007; 359/630;

Field of Search: 382/100,154,162,291,294,295 345/285,7-9,419,424,473-474,112-114,435,439 356/012 359/013,630 348/239,586

Government Interest:     This invention was made with government support under Defense Advanced Research Projects Agency grant number DABT63-93-C-0048. The government has certain rights in this invention.

Priority Number:
1996-08-02  US1996000691684

Abstract:     Systems, methods and computer program products which have the registration accuracy of vision-based tracking systems and the robustness of magnetic tracking systems. Video tracking of landmarks is utilized as the primary method for determining camera position and orientation but is enhanced by magnetic or other forms of physical tracking camera movement and orientation. A physical tracker narrows the landmark search area on images, speeding up the landmark search process. Information from the physical tracker may also be used to select one of several solutions of a non-linear equation resulting from the vision-based tracker. The physical tracker may also act as a primary tracker if the image analyzer cannot locate enough landmarks to provide proper registration, thus, avoiding complete loss of registration. Furthermore, if 1 or 2 landmarks (not enough for a unique solution) are detected, several may be utilized heuristic methods are used to minimize registration loss. Catastrophic failure may be avoided by monitoring the difference between results from the physical tracker and the vision-based tracker and discarding corrections that exceed a certain magnitude. The hybrid tracking system is equally applicable to see-through and video augmented reality systems.

Attorney, Agent or Firm: Myers Bigel Sibley & Sajovec ;

Primary / Asst. Examiners: Chang, Jon; Patel, Jayami K.

Maintenance Status: CC Certificate of Correction issued

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 35 claims
That which is claimed is:     1. A method of registering a computer generated graphic to objects in the real world to provide a composite augmented reality image, the method comprising:
  • obtaining a first image corresponding to the field of view of a camera;
  • determining the location within the first image of a landmark to create an initial landmark location;
  • detecting the physical movement of the user operated camera to create a camera displacement;
  • obtaining a second image corresponding to the field of view of the camera;
  • predicting the location of the landmark within the second image based on the camera displacement that reflects the physical movement of the camera independent of the first and second images obtained by the camera and the initial landmark location determined from the first image;
  • defining a search region within the second image based upon the predicted location of the landmark within the second image;
  • locating the landmark within the defined search region of the second image to create an actual landmark location; and
  • registering the computer generated graphic to objects in the real world based upon the actual landmark location so as to provide a composite augmented reality image.


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Forward References: Show 39 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (39)   |   Backward references (19)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 25pp US5436638  1995-07 Bolas et al.  Fakespace, Inc. Image display method and apparatus with means for yoking viewpoint orienting muscles of a user
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Buy PDF- 9pp US5471541  1995-11 Burtnyk et al.  National Research Council of Canada System for determining the pose of an object which utilizes range profiles and synethic profiles derived from a model
Buy PDF- 16pp US5483961  1996-01 Kelly et al.   Magnetic field digitizer for stereotactic surgery
Buy PDF- 33pp US5495576  1996-02 Ritchey   Panoramic image based virtual reality/telepresence audio-visual system and method
Buy PDF- 20pp US5526022  1996-06 Donahue et al.  Virtual I/O, Inc. Sourceless orientation sensor
Buy PDF- 14pp US5531227  1996-07 Schneider  Schneider Medical Technologies, Inc. Imaging device and method
Buy PDF- 37pp US5548694  1996-08 Gibson  Mitsubishi Electric Information Technology Center America, Inc. Collision avoidance system for voxel-based object representation
Buy PDF- 9pp US5585813  1996-12 Howard  Rockwell International Corporation All aspect head aiming display
Buy PDF- 23pp US5606627  1997-02 Kuo  Eotek Inc. Automated analytic stereo comparator
Buy PDF- 33pp US5613013  1997-03 Schuette  Reticula Corporation Glass patterns in image alignment and analysis
Buy PDF- 29pp US5625765  1997-04 Ellenby et al.  Criticom Corp. Vision systems including devices and methods for combining images for extended magnification schemes
Buy PDF- 7pp US5706195  1998-01 Corby, Jr. et al.  General Electric Company Augmented reality maintenance system for multiple rovs
Buy PDF- 22pp US5710878  1998-01 McCoy et al.   Method for facilitating material application for a group of objects of a computer graphic
Buy PDF- 12pp US5717414  1998-02 Bergsneider et al.  Lockheed-Martin Tactical Defense Systems Video image tracking and mixing system
Buy PDF- 14pp US5719598  1998-02 Latham  Loral Aerospace Corporation Graphics processor for parallel processing a plurality of fields of view for multiple video displays
Buy PDF- 57pp US5850352  1998-12 Moezzi et al.  The Regents of the University of California Immersive video, including video hypermosaicing to generate from multiple video views of a scene a three-dimensional video mosaic from which diverse virtual video scene images are synthesized, including panoramic, scene interactive and stereoscopic images
Buy PDF- 69pp US5889951  1999-03 Lombardi  Viewpoint Corporation Systems, methods, and computer program products for accessing, leasing, relocating, constructing and modifying internet sites within a multi-dimensional virtual reality environment
Buy PDF- 13pp US5914748  1999-06 Parulski et al.  Eastman Kodak Company Method and apparatus for generating a composite image using the difference of two images
       
Foreign References: None

Other References:
  • M. Bajura and U. Neumann, Dynamic Registration Correction in Augmented-Reality Systems, Proceedings of the Virtual Reality Annual International Syumposium '95 (Mar. 11-15, 1995), Research Triangle Park, pp. 189-196 (1995).
  • M. Bajura and U. Neumann, Dynamic Registration Correction in Video-Based Augmented Reality Systems, IEEE Computer Graphics and Applications, pp. 52-60, (Sep. 1995).
  • R. Azuma, A Survey of Augmented Reality, SIGGRAPH 1995 Course Notes #9 (Developing Advanced Virtual Reality Applications), pp. 1-40 (1995).
  • R. Azuma and G. Bishop, Improving Static and Dynamic Registration in an Optical See-through HMD, SIGGRAPH 94 (Orlando, FL, Jul. 24-29, 1994), Computer Graphics Proceedings, Annual Conference Series, pp. 197-203 (1994).
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  • R. Holloway, Registration Errors in Augmented Reality Systems, Ph.D. dissertation, University of North Carolina at Chapel Hill (Aug. 1995).
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  • D. Lowe, Three-Dimensional Object Recognition from Single Two-Dimensional Images, Artificial Intelligence, 31 (1987), pp. 355-395.
  • D. Lowe, Robust Model-based Motion Tracking Through the Integration of Search and Estimation, International Journal of Computer Vision, 8:2 (1992), pp. 113-122.
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  • M. Mine, Characterization of End-to-End Delays in Head-Mounted Display Systems, University of North Carolina at Chapel Hill Technical Report TR93-005 (Mar. 1993).
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  • R. Tsai, A Versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses, IEEE Journal of Robotics and Automation, vol. RA-3, No. 4 (Aug. 1987), pp. 323-344.
  • M. Tuceryan, et al., Calibration Requirements and Procedures for a Monitor-Based Augmented Reality System, IEEE Transactions on Visualization and Computer Graphics, vol. 1, No. 3 (Sep. 1995), pp. 255-273.
  • M. Uenohara and T. Kanade, Vision-Based Object Registration for Real-Time Image Overlay, 1995 Conference on Computer Vision, Virtual Reality and Robotics in Medicine (Nice, France, Apr. 1995), pp. 13-22.
  • L. Wang and W. Tsai, Computing Camera Parameters using Vanishing-Line Information from a Rectangular Parallelepiped, Machine Vision and Applications (1990), pp. 129-141.
  • M. Ward, et al., A Demonstrated Optical Tracker With Scalable Work Area for Head-Mounted Display Systems, Proceedings of the 1992 Symposium on Interactive 3D Graphics (Boston, MA, Mar. 1-Apr. 1, 1992), pp. 43-52.
  • T. Yoo and T. Olano, Instant Hole.TM. (Windows onto Reality), University of North Carolina at Chapel Hill Technical Report TR93-027 (1993).
  • M. Bajura and U. Neumann, Dynamic Registration Correction in Augmented-Reality Systems, University of North Carolina at Chapel Hill--Department of Computer Science Technical Report TR94-022.


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