{"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/variational-disparity-estimation-framework","title":"Variational Disparity Estimation Framework for Plenoptic Image","arxiv_id":"1804.06633","date":"2018-04-18","proceeding":null,"authors":["Trung-Hieu Tran","Zhe Wang","Sven Simon"],"abstract":"This paper presents a computational framework for accurately estimating the\ndisparity map of plenoptic images. The proposed framework is based on the\nvariational principle and provides intrinsic sub-pixel precision. The\nlight-field motion tensor introduced in the framework allows us to combine\nadvanced robust data terms as well as provides explicit treatments for\ndifferent color channels. A warping strategy is embedded in our framework for\ntackling the large displacement problem. We also show that by applying a simple\nregularization term and a guided median filtering, the accuracy of displacement\nfield at occluded area could be greatly enhanced. We demonstrate the excellent\nperformance of the proposed framework by intensive comparisons with the Lytro\nsoftware and contemporary approaches on both synthetic and real-world datasets.","url_abs":"http://arxiv.org/abs/1804.06633v1","url_pdf":"http://arxiv.org/pdf/1804.06633v1.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":"variational-disparity-estimation-framework","repo_url":"https://github.com/hieuttcse/variational_plenoptic_disparity_estimation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"disparity-estimation","task_name":"Disparity Estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}