Image processing method and apparatus for comparing edges between images
January 25, 2022. 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 ReferencesVideo ID photo printing apparatus and complexion converting apparatus System and method for cross correlation with application to video motion vector estimator System for processing a quantized vector using spatial frequency correlations Automatic feature detection and age classification of human faces in digital images Apparatus for extracting feature points from a facial image Systems and methods with identity verification by comparison and interpretation of skin patterns such as fingerprints Model based image editing and correction Reflective array compressor Method and apparatus for determining image similarity and position 6195460 InventorsAssigneeApplicationNo. 10057756 filed on 01/25/2002US Classes:382/199, Pattern boundary and edge measurements382/181, PATTERN RECOGNITION382/190, Feature extraction382/191, Multispectral features (e.g., frequency, phase)382/209, Template matching (e.g., specific devices that determine the best match)382/280, Fourier transform382/232, IMAGE COMPRESSION OR CODING382/218, Comparator358/518, Color correction382/236, Interframe coding (e.g., difference or motion detection)382/118, Using a facial characteristic382/124, Using a fingerprint345/581, Attributes (surface detail or characteristic, display attributes)382/219, Determining both similarities and differences382/100, APPLICATIONS382/103, Target tracking or detecting382/282, Selecting a portion of an image348/14.12Transmission control (e.g., resolution or quality)ExaminersPrimary: Mehta, Bhavesh M.Assistant: Strege, John Attorney, Agent or FirmForeign Patent References
International ClassesG06K 9/00G06K 9/46 G06K 9/62 G06K 9/66 AbstractAn image processing method for detecting an object from an input image using a template image, including inputting a specified image with respect to both a template image and an input image, calculating an edge normal direction vector of said specified image, generating an evaluation vector from said edge normal direction vector, subjecting the evaluation vector to orthogonal transformation, a step of performing a product sum calculation of corresponding spectral data with respect to each evaluation vector that has been subjected to orthogonal transformation and has been obtained for each of said template image and said input image, and a step of subjecting it to inverse orthogonal transformation and generating a similarity value map. The formula of the similarity value, the orthogonal transformation, and the inverse orthogonal transformation each have linearity. The pattern recognition is one in which the component of the similarity value is not subjected to positive/negative reversal through variations in brightness of the background.Other References
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