function?[]=opendata（fullnamek）
data?=?load（fullname）;

n?=?lsqnormest（data‘str2num（k））;
data?=?[data?n‘];
save?data.txt?data?-ascii
helpdlg（‘計算完成‘‘法向量計算‘）
end
%?Least?squares?normal?estimation?from?point?clouds?using?PCA
%
%?H.?Hoppe?T.?DeRose?T.?Duchamp?J.?McDonald?and?W.?Stuetzle.?
%?Surface?reconstruction?from?unorganized?points.?
%?In?Proceedings?of?ACM?Siggraph?pages?71:78?1992.
%
%?p?should?be?a?matrix?containing?the?horizontally?concatenated?column?vectors?with?points.??p應該是一個包含水平連接列向量和點的矩陣。
%??k?is?a?scalar?indicating?how?many?neighbors?the
%?normal?estimation?is?based?upon.
%
%?Note?that?for?large?point?sets?the?function?performs?significantly
%?faster?if?Statistics?Toolbox?>=?v.?7.3?is?installed.
%
%?Jakob?Wilm?2010

function?n?=?lsqnormest（p?k）

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件??????????42??2018-07-18?23:43??point_cloud\運行方式.txt
?????文件???????14281??2018-07-16?14:58??point_cloud\Points_Cloud.fig
?????文件????????6985??2018-07-16?14:58??point_cloud\Points_Cloud.m
?????文件?????1130402??2018-06-29?20:58??point_cloud\erweima.fig
?????文件????????1483??2018-07-16?14:55??point_cloud\fun_lsqnormest.m
?????文件?????2544974??2017-06-09?02:03??point_cloud\test_pointcloud.dat
?????目錄???????????0??2018-07-16?15:04??point_cloud\