{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11532171","patent":{"patent_number":"US-11532171","title":"Representation learning using machine learning classification tasks based on point clouds of interacting 3D surfaces","assignee":null,"inventors":[],"filing_date":"2020-10-02T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["G06V","G06F","G06F","G06V"],"num_claims":20,"abstract":"A method and apparatus for determining spatial characteristics of three-dimensional objects is described. In an exemplary embodiment, the device receives a point cloud representation of a three-dimensional surface structure of a plurality of objects. The device may further generate a set of bins to represent the three-dimensional surface structure based on the point cloud representation, each bin corresponding to a spatial occupancy related to the point cloud representation, each bin including a respective type indicating a spatial relationship of the surface structures and a corresponding spatial occupancy of the bin. In addition, the device may encode the set of bins using a convolutional neural network. The device may further determine a classification for the spatial characteristic of the surface structures based on the convolutional neural network with the encoded set of bins."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Representation learning using machine learning classification tasks based on point clouds of interacting 3D surfaces","description":"A method and apparatus for determining spatial characteristics of three-dimensional objects is described. In an exemplary embodiment, the device receives a point cloud representation of a three-dimens","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11532171","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-11532171","citation_suggestion":"Patentable. \"Representation learning using machine learning classification tasks based on point clouds of interacting 3D surfaces\" (US-11532171). https://patentable.app/patents/US-11532171","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11532171","json":"https://patentable.app/api/llm-context/US-11532171","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:25:00.170Z"}