{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11481683","patent":{"patent_number":"US-11481683","title":"Machine learning models for direct homography regression for image rectification","assignee":null,"inventors":[],"filing_date":"2020-05-29T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G06N","G06T","G06F","G06N","G06N","G06T","G06N"],"num_claims":20,"abstract":"Techniques for creating machine learning models for direct homography regression for image rectification are described. In certain embodiments, a training service trains an algorithm on a source view of a training image and a homography matrix of the training image into a machine learning model that generates a normalized homography matrix for an input of the source view. The normalized homography matrix may then be utilized to generate a target view of an image input into the machine learning model. The target view of the image may be used in a document processing pipeline for document images captured using cameras."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning models for direct homography regression for image rectification","description":"Techniques for creating machine learning models for direct homography regression for image rectification are described. In certain embodiments, a training service trains an algorithm on a source view ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11481683","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11481683","citation_suggestion":"Patentable. \"Machine learning models for direct homography regression for image rectification\" (US-11481683). https://patentable.app/patents/US-11481683","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11481683","json":"https://patentable.app/api/llm-context/US-11481683","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T19:15:12.460Z"}