{"action":"created","issue":{"url":"https://api.github.com/repos/cdcseacave/openMVS/issues/36","labels_url":"https://api.github.com/repos/cdcseacave/openMVS/issues/36/labels{/name}","comments_url":"https://api.github.com/repos/cdcseacave/openMVS/issues/36/comments","events_url":"https://api.github.com/repos/cdcseacave/openMVS/issues/36/events","html_url":"https://github.com/cdcseacave/openMVS/issues/36","id":117806654,"number":36,"title":"using silhouette masks to clip unwanted points","user":{"login":"lulu1315","id":13677315,"avatar_url":"https://avatars.githubusercontent.com/u/13677315?v=3","gravatar_id":"","url":"https://api.github.com/users/lulu1315","html_url":"https://github.com/lulu1315","followers_url":"https://api.github.com/users/lulu1315/followers","following_url":"https://api.github.com/users/lulu1315/following{/other_user}","gists_url":"https://api.github.com/users/lulu1315/gists{/gist_id}","starred_url":"https://api.github.com/users/lulu1315/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lulu1315/subscriptions","organizations_url":"https://api.github.com/users/lulu1315/orgs","repos_url":"https://api.github.com/users/lulu1315/repos","events_url":"https://api.github.com/users/lulu1315/events{/privacy}","received_events_url":"https://api.github.com/users/lulu1315/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":5,"created_at":"2015-11-19T12:46:55Z","updated_at":"2015-11-19T15:17:15Z","closed_at":null,"body":"hello.I just started using openMVS and have excellent results so far.kudos for that.\r\nare you planning to add the ability to use bitmaps masks to remove unwanted points from the reconstruction ?(maybe during DensifyPointCloud or Reconstructmesh).\r\nThanks\r\nluc"},"comment":{"url":"https://api.github.com/repos/cdcseacave/openMVS/issues/comments/158086467","html_url":"https://github.com/cdcseacave/openMVS/issues/36#issuecomment-158086467","issue_url":"https://api.github.com/repos/cdcseacave/openMVS/issues/36","id":158086467,"user":{"login":"cdcseacave","id":2802670,"avatar_url":"https://avatars.githubusercontent.com/u/2802670?v=3","gravatar_id":"","url":"https://api.github.com/users/cdcseacave","html_url":"https://github.com/cdcseacave","followers_url":"https://api.github.com/users/cdcseacave/followers","following_url":"https://api.github.com/users/cdcseacave/following{/other_user}","gists_url":"https://api.github.com/users/cdcseacave/gists{/gist_id}","starred_url":"https://api.github.com/users/cdcseacave/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cdcseacave/subscriptions","organizations_url":"https://api.github.com/users/cdcseacave/orgs","repos_url":"https://api.github.com/users/cdcseacave/repos","events_url":"https://api.github.com/users/cdcseacave/events{/privacy}","received_events_url":"https://api.github.com/users/cdcseacave/received_events","type":"User","site_admin":false},"created_at":"2015-11-19T15:17:15Z","updated_at":"2015-11-19T15:17:15Z","body":"Romain is using this library for some time now, and he know how this works. The dense point-cloud is just a step in the entire path to the final goal: mesh. It might be noisy, but the mesh reconstruction will take care of that. The problems with this dataset are: first the photos are way over exposed, second, there no photos from  all around the object, and that is why some noise still survives the mesh reconstruction (there are not visibility checks to be done). Plus you seem to have done something wrong along the way, case I reconstructed from the images you sent me with all default parameters and it looks much better: https://skfb.ly/IDV8\r\n\r\nSo the short answer to your original question: No, OpenMVS will never support mask. Long answer, if at some point some kind of masks prove to be useful (which I doubt), these masks need to be algorithmically and automatically constructed. For example in this case, the background sky can be easily removed automatically, especially because it is so over exposed.\r\n\r\nI appreciate your thoughts on this and for using the library."}}