{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/distance-surface-for-event-based-optical-flow","title":"Distance Surface for Event-Based Optical Flow","arxiv_id":"2003.12680","date":"2020-03-28","proceeding":null,"authors":["Mohammed Almatrafi","Raymond Baldwin","Kiyoharu Aizawa","Keigo Hirakawa"],"abstract":"We propose DistSurf-OF, a novel optical flow method for neuromorphic cameras. Neuromorphic cameras (or event detection cameras) are an emerging sensor modality that makes use of dynamic vision sensors (DVS) to report asynchronously the log-intensity changes (called \"events\") exceeding a predefined threshold at each pixel. In absence of the intensity value at each pixel location, we introduce a notion of \"distance surface\"---the distance transform computed from the detected events---as a proxy for object texture. The distance surface is then used as an input to the intensity-based optical flow methods to recover the two dimensional pixel motion. Real sensor experiments verify that the proposed DistSurf-OF accurately estimates the angle and speed of each events.","url_abs":"https://arxiv.org/abs/2003.12680v1","url_pdf":"https://arxiv.org/pdf/2003.12680v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"event-detection","task_name":"Event Detection"},{"task_slug":"event-based-optical-flow","task_name":"Event-based Optical Flow"},{"task_slug":"optical-flow-estimation","task_name":"Optical Flow Estimation"}],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[{"slug":"dvsmotion20","name":"DVSMOTION20","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2003.12680","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}