{"action":"created","issue":{"url":"https://api.github.com/repos/Macquarie-MEG-Research/coreg/issues/1","repository_url":"https://api.github.com/repos/Macquarie-MEG-Research/coreg","labels_url":"https://api.github.com/repos/Macquarie-MEG-Research/coreg/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/Macquarie-MEG-Research/coreg/issues/1/comments","events_url":"https://api.github.com/repos/Macquarie-MEG-Research/coreg/issues/1/events","html_url":"https://github.com/Macquarie-MEG-Research/coreg/issues/1","id":271731185,"number":1,"title":"What effect does weighting have?","user":{"login":"neurofractal","id":18535653,"avatar_url":"https://avatars2.githubusercontent.com/u/18535653?v=4","gravatar_id":"","url":"https://api.github.com/users/neurofractal","html_url":"https://github.com/neurofractal","followers_url":"https://api.github.com/users/neurofractal/followers","following_url":"https://api.github.com/users/neurofractal/following{/other_user}","gists_url":"https://api.github.com/users/neurofractal/gists{/gist_id}","starred_url":"https://api.github.com/users/neurofractal/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/neurofractal/subscriptions","organizations_url":"https://api.github.com/users/neurofractal/orgs","repos_url":"https://api.github.com/users/neurofractal/repos","events_url":"https://api.github.com/users/neurofractal/events{/privacy}","received_events_url":"https://api.github.com/users/neurofractal/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"neurofractal","id":18535653,"avatar_url":"https://avatars2.githubusercontent.com/u/18535653?v=4","gravatar_id":"","url":"https://api.github.com/users/neurofractal","html_url":"https://github.com/neurofractal","followers_url":"https://api.github.com/users/neurofractal/followers","following_url":"https://api.github.com/users/neurofractal/following{/other_user}","gists_url":"https://api.github.com/users/neurofractal/gists{/gist_id}","starred_url":"https://api.github.com/users/neurofractal/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/neurofractal/subscriptions","organizations_url":"https://api.github.com/users/neurofractal/orgs","repos_url":"https://api.github.com/users/neurofractal/repos","events_url":"https://api.github.com/users/neurofractal/events{/privacy}","received_events_url":"https://api.github.com/users/neurofractal/received_events","type":"User","site_admin":false},"assignees":[{"login":"neurofractal","id":18535653,"avatar_url":"https://avatars2.githubusercontent.com/u/18535653?v=4","gravatar_id":"","url":"https://api.github.com/users/neurofractal","html_url":"https://github.com/neurofractal","followers_url":"https://api.github.com/users/neurofractal/followers","following_url":"https://api.github.com/users/neurofractal/following{/other_user}","gists_url":"https://api.github.com/users/neurofractal/gists{/gist_id}","starred_url":"https://api.github.com/users/neurofractal/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/neurofractal/subscriptions","organizations_url":"https://api.github.com/users/neurofractal/orgs","repos_url":"https://api.github.com/users/neurofractal/repos","events_url":"https://api.github.com/users/neurofractal/events{/privacy}","received_events_url":"https://api.github.com/users/neurofractal/received_events","type":"User","site_admin":false}],"milestone":null,"comments":2,"created_at":"2017-11-07T07:13:08Z","updated_at":"2018-02-26T06:39:31Z","closed_at":null,"author_association":"OWNER","body":"Does weighting the ICP algorithm towards the facial points increase accuracy?\r\n\r\nTry the new function out with various different weighting factors?\r\n\r\n[FUNCTION](https://github.com/Macquarie-MEG-Research/coreg/blob/master/coreg_yokogawa_icp_adjust_weights.m)\r\n"},"comment":{"url":"https://api.github.com/repos/Macquarie-MEG-Research/coreg/issues/comments/368404743","html_url":"https://github.com/Macquarie-MEG-Research/coreg/issues/1#issuecomment-368404743","issue_url":"https://api.github.com/repos/Macquarie-MEG-Research/coreg/issues/1","id":368404743,"user":{"login":"neurofractal","id":18535653,"avatar_url":"https://avatars2.githubusercontent.com/u/18535653?v=4","gravatar_id":"","url":"https://api.github.com/users/neurofractal","html_url":"https://github.com/neurofractal","followers_url":"https://api.github.com/users/neurofractal/followers","following_url":"https://api.github.com/users/neurofractal/following{/other_user}","gists_url":"https://api.github.com/users/neurofractal/gists{/gist_id}","starred_url":"https://api.github.com/users/neurofractal/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/neurofractal/subscriptions","organizations_url":"https://api.github.com/users/neurofractal/orgs","repos_url":"https://api.github.com/users/neurofractal/repos","events_url":"https://api.github.com/users/neurofractal/events{/privacy}","received_events_url":"https://api.github.com/users/neurofractal/received_events","type":"User","site_admin":false},"created_at":"2018-02-26T06:39:31Z","updated_at":"2018-02-26T06:39:31Z","author_association":"OWNER","body":"@paulsowman have now updated the function again to speed up computation and make prettier diagrams.  Additionally I apply the ICP transformation matrix directly to the mri_realigned --> mri_realigned2.\r\n\r\n```matlab\r\n%% Apply transform to the MRI\r\nmri_realigned2 = ft_transform_geometry(trans_matrix,mri_realigned);\r\n\r\nsave mri_realigned2 mri_realigned2\r\n\r\n% check that the MRI is consistent after realignment\r\nft_determine_coordsys(mri_realigned2, 'interactive', 'no');\r\nhold on; % add the subsequent objects to the figure\r\ndrawnow; % workaround to prevent some MATLAB versions (2012b and 2014b) from crashing\r\nft_plot_headshape(headshape_downsampled); \r\n```\r\n\r\n**Therefore there is now no need to apply the trans_matrix to the grid points during source analysis; simply use mri_realigned2.**"}}
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