System and method for matching curves of multiple images representing a scene
Patent 6718062 Issued on April 6, 2004. Estimated Expiration Date: 
May 30, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
May 30, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesStereoscopic computer vision system Procedure for automatic analysis of images and image sequences based on two-dimensional shape primitives Patent #: 6466695 InventorsAssigneeApplicationNo. 09584013 filed on 05/30/2000US Classes:382/218, Comparator382/199, Pattern boundary and edge measurements382/1543-D or stereo imaging analysisExaminersPrimary: Dastouri, MehrdadAssistant: Kibler, Virginia Attorney, Agent or FirmInternational ClassG06K 968AbstractThe present invention is embodied in a system and method for curve matching multiple images of a scene. The curve matching produces a geometrical representation of the scene from the images, which can be used for any suitable application, such as computer and stereo vision applications. In general, first, multiple images depicting a scene are digitally received by the system. The images are graphical images digitally received and processed as two dimensional image data, such as bitmap or raster image data. Curve matching of the images is then performed to correlate the two images of the scene for creating three dimensional (3D) curve information, such as 3D vector information, of the scene. This 3D vector information can then be used in any suitable manner, for example, to digitally reconstruct the scene for stereo vision applications.Other References
Field of Search3-D or stereo imaging analysisUsing dynamic programming or elastic templates (e.g., warping) Pattern boundary and edge measurements Feature extraction Local or regional features Local neighborhood operations (e.g., 3x3 kernel, window, or matrix operator) Template matching (e.g., specific devices that determine the best match) Comparator Determining both similarities and differences Three-dimension Solid modelling CONTOUR PLOTTING Stereoscopic | |
