System and method for performing corner guided curve matching of multiple images representing a scene
Patent 6665440 Issued on December 16, 2003. 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 determination of terrain elevation Technique for edge/corner detection/tracking in image frames Machine vision stereo matching Image object recognition system and method Labeled bunch graphs for image analysis Patent #: 6356659 InventorsAssigneeApplicationNo. 09/583062 filed on 05/30/2000US Classes:382/209, Template matching (e.g., specific devices that determine the best match)382/154, 3-D or stereo imaging analysis382/199Pattern boundary and edge measurementsExaminersPrimary: Mariam, Daniel G.Attorney, Agent or FirmInternational ClassesG06K 9/64 (20060101)G06T 7/00 (20060101) AbstractThe present invention is embodied in a curve matching system and method that is guided by a set of matched corners. The corner guided 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. For example, the images can be two dimensional image data, such as bitmap or raster image data. Curves of the images are then matched to correlate the two images of the scene for creating three dimensional (3D) curve information, such as 3D vector or mathematical 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 SearchTarget tracking or detecting3-D or stereo imaging analysis Trainable classifiers or pattern recognizers (e.g., adaline, perceptron) PATTERN RECOGNITION Local or regional features Pattern boundary and edge measurements Point features (e.g., spatial coordinate descriptors) Linear stroke analysis (e.g., limited to straight lines) Shape and form analysis Global features (e.g., measurements on image as a whole, such as area, projections, etc.) Template matching (e.g., specific devices that determine the best match) At multiple image orientations or positions Electronic template Comparator Calculating weighted similarity or difference (e.g., don`t-care areas) IMAGE ENHANCEMENT OR RESTORATION Mapping 2-D image onto a 3-D surface | |
