{"id":20399913,"url":"https://github.com/kitware/horizon_detection","last_synced_at":"2025-12-03T13:02:12.596Z","repository":{"id":137029957,"uuid":"216656794","full_name":"Kitware/horizon_detection","owner":"Kitware","description":null,"archived":false,"fork":false,"pushed_at":"2019-10-25T01:56:59.000Z","size":1105,"stargazers_count":1,"open_issues_count":1,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-01-15T11:20:17.333Z","etag":null,"topics":["computer-vision","photogrammetry"],"latest_commit_sha":null,"homepage":null,"language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Kitware.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.TXT","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-10-21T20:13:08.000Z","updated_at":"2020-01-05T21:33:54.000Z","dependencies_parsed_at":"2023-03-14T01:15:43.322Z","dependency_job_id":null,"html_url":"https://github.com/Kitware/horizon_detection","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kitware%2Fhorizon_detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kitware%2Fhorizon_detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kitware%2Fhorizon_detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kitware%2Fhorizon_detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Kitware","download_url":"https://codeload.github.com/Kitware/horizon_detection/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241947110,"owners_count":20047116,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","photogrammetry"],"created_at":"2024-11-15T04:35:05.515Z","updated_at":"2025-12-03T13:02:07.574Z","avatar_url":"https://github.com/Kitware.png","language":"MATLAB","readme":"This is the MATLAB software package for horizon detection on a single image paper [Xu et al. CVPR 2013](Xu_A_Minimum_Error_2013_CVPR_paper.pdf).\r\nUse the following citation:\r\n\r\n\tXu, Yiliang, Sangmin Oh, and Anthony Hoogs. \r\n\t\"A minimum error vanishing point detection approach for uncalibrated monocular images of man-made environments.\" \r\n\tIn Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1376-1383. 2013.\r\n\r\nBibTex\r\n\r\n\t@InProceedings{Xu_2013_CVPR,\r\n\t\tauthor = {Xu, Yiliang and Oh, Sangmin and Hoogs, Anthony},\r\n\t\ttitle = {A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments},\r\n\t\tbooktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},\r\n\t\tmonth = {June},\r\n\t\tyear = {2013}\r\n\t}\r\n\r\nCopyright 2014 by Kitware, Inc. All Rights Reserved. \r\nPlease refer to LICENSE.TXT for licensing information, or contact General Counsel, Kitware, Inc., 28 Corporate Drive, Clifton Park, NY 12065\r\n\r\n*Software Structure*\r\n\r\nhorizon_detection.m contains the main function. \r\n\t- extract_lsd.m: calls Line Segment Detector (LSD) C++ executable \"LSD_VC.exe\" to compute line segments in the input image. LSD_VC.exe read in an image and output a text file containing all detected line segments information. The Matlab script reads in this text file. This module can be substituted by other line segment detection algorithm.\r\n\t- vp_probability_EM.m: compute vanishing points given line segments that are detected.\r\n\t- horizon.m: compute horizon given vanishing points that are detected.\r\n\r\n\r\n*Dependency*\r\n\r\n\t- Line Segment Detector (LSD) C++ executable \"LSD_VC.exe\" is included in this package. The source files can be found at http://www.ipol.im/pub/art/2012/gjmr-lsd/.\r\n\t- MATLAB basic package\r\n\t- MATLAB image processing toolbox (only required for visualizing results).\r\n\r\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkitware%2Fhorizon_detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkitware%2Fhorizon_detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkitware%2Fhorizon_detection/lists"}