{"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/an-optical-flow-based-approach-for-minimally","title":"An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation","arxiv_id":"1812.08882","date":"2018-12-20","proceeding":null,"authors":["Berkay Kanberoglu","Dhritiman Das","Priya Nair","Pavan Turaga","David Frakes"],"abstract":"Three-dimensional (3D) biomedical image sets are often acquired with in-plane\npixel spacings that are far less than the out-of-plane spacings between images.\nThe resultant anisotropy, which can be detrimental in many applications, can be\ndecreased using image interpolation. Optical flow and/or other\nregistration-based interpolators have proven useful in such interpolation roles\nin the past. When acquired images are comprised of signals that describe the\nflow velocity of fluids, additional information is available to guide the\ninterpolation process. In this paper, we present an optical-flow based\nframework for image interpolation that also minimizes resultant divergence in\nthe interpolated data.","url_abs":"http://arxiv.org/abs/1812.08882v1","url_pdf":"http://arxiv.org/pdf/1812.08882v1.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":[{"paper_slug":"an-optical-flow-based-approach-for-minimally","repo_url":"https://github.com/berk-github/OF_interp","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"optical-flow-estimation","task_name":"Optical Flow Estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}