{"id":1956,"date":"2014-02-05T17:32:46","date_gmt":"2014-02-05T17:32:46","guid":{"rendered":"https:\/\/www.anagram.at\/en\/diplomarbeit\/synthetic-data-2\/"},"modified":"2014-02-05T17:32:46","modified_gmt":"2014-02-05T17:32:46","slug":"synthetic-data-2","status":"publish","type":"page","link":"https:\/\/www.anagram.at\/en\/diplomarbeit\/synthetic-data-2\/","title":{"rendered":"Synthetic data"},"content":{"rendered":"


\n
\n Next:<\/b> Real data<\/a>
\n Up:<\/b> Correspondence Analysis<\/a>
\n Previous:<\/b> Correspondence Analysis<\/a>
\n<\/p>\n


\nSynthetic data<\/a>
\n<\/h2>\n

The synthetic scenes are built using MAYA<\/i> software. They contain the same objects as described in Section 4.2.2<\/a>. The cameras have their origin in
\n\"$ and heading in \"$ direction. The focal length of the cameras is \"$, the baseline is \"$. The aperture is given by
\n\"$. The aperture values have to be in inches4.3<\/sup><\/a>, no matter what global dimension is used. The cameras are totally parallel, thus no rectification is needed. The position of the objects in space is known and used to calculate the true disparities4.4<\/sup><\/a>. Figure 4.7<\/a> shows the synthetic left and right image. Also a perspective view of the maya environment is shown.<\/p>\n

<\/p>\n\n\n
Figure 4.7:<\/strong>
\nThe figure shows a pair of synthetic images and a perspective view of the scene build in MAYA. The values are the distances between the cameras and the objects inside the scene.<\/caption>\n
\n
\n \"Image<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<\/div>\n\n
<\/p>\n\n\n
Table 4.4:<\/strong>
\nResults of correspondence analysis using synthetic data.<\/caption>\n
\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

\nObject <\/font><\/td>\n		 distance <\/font><\/td>\n disparity <\/font><\/td>\n calculated disparity <\/font><\/td>\n error[px] <\/font><\/td>\n error[cm]<\/font><\/td>\n<\/tr>\n
<\/p>\n

Rect 1,l <\/font><\/td>\n

 85 <\/font><\/td>\n 33.88 <\/font><\/td>\n 34 <\/font><\/td>\n 0.12 <\/font><\/td>\n 0.3 <\/font><\/td>\n<\/tr>\n

\nRect 1,r <\/font><\/td>\n		 85 <\/font><\/td>\n 33.88 <\/font><\/td>\n 34 <\/font><\/td>\n 0.12 <\/font><\/td>\n 0.3 <\/font><\/td>\n<\/tr>\n

\nRect 2,l <\/font><\/td>\n		 115 <\/font><\/td>\n 25.04 <\/font><\/td>\n 24 <\/font><\/td>\n 1.04 <\/font><\/td>\n 3 <\/font><\/td>\n<\/tr>\n

\nRect 2,r <\/font><\/td>\n		 115 <\/font><\/td>\n 25.04 <\/font><\/td>\n 26 <\/font><\/td>\n 0.86 <\/font><\/td>\n 4.3<\/font><\/td>\n<\/tr>\n

\nCone l <\/font><\/td>\n		 55 <\/font><\/td>\n 52.36 <\/font><\/td>\n 52 <\/font><\/td>\n 0.36 <\/font><\/td>\n 0.38<\/font><\/td>\n<\/tr>\n

\nCone r <\/font><\/td>\n		 55 <\/font><\/td>\n 52.36 <\/font><\/td>\n 52 <\/font><\/td>\n 0.36 <\/font><\/td>\n 0.38<\/font><\/td>\n<\/tr>\n
<\/p>\n

Rect 1,l <\/font><\/td>\n

 75 <\/font><\/td>\n 38.4 <\/font><\/td>\n 38 <\/font><\/td>\n 0.4 <\/font><\/td>\n 0.7 <\/font><\/td>\n<\/tr>\n

\nRect 1,r <\/font><\/td>\n		 75 <\/font><\/td>\n 38.4 <\/font><\/td>\n 39 <\/font><\/td>\n 0.6 <\/font><\/td>\n 1.2 <\/font><\/td>\n<\/tr>\n

\nRect 2,l <\/font><\/td>\n		 95 <\/font><\/td>\n 30.3 <\/font><\/td>\n 31 <\/font><\/td>\n 0.7 <\/font><\/td>\n 2.1 <\/font><\/td>\n<\/tr>\n

\nRect 2,l <\/font><\/td>\n		 95 <\/font><\/td>\n 30.3 <\/font><\/td>\n 30 <\/font><\/td>\n 0.3 <\/font><\/td>\n 1.0 <\/font><\/td>\n<\/tr>\n

\nCone l <\/font><\/td>\n		 65 <\/font><\/td>\n 44.3 <\/font><\/td>\n 46 <\/font><\/td>\n 1.7 <\/font><\/td>\n 2.4 <\/font><\/td>\n<\/tr>\n

\nCone r <\/font><\/td>\n		 65 <\/font><\/td>\n 44.3 <\/font><\/td>\n 45 <\/font><\/td>\n 0.7 <\/font><\/td>\n 1.0 <\/font><\/td>\n<\/tr>\n<\/table>\n

\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<\/div>\n\n

Table 4.4<\/a> shows the true disparities and the calculated ones. Actually the disparity is calculated using pixel accuracy, but it could be easily extended to subpixel accuracy. In this case not only one disparity per line would be calculated.
\nThe maximum difference between the true and the calculated disparities is 1.7px. The mean disparity difference is 0.605<\/b> px, which is actually quite good for a pixel based disparity calculation. In cm it is a deviation of 1.421<\/b>. The accurate disparities results due to the accurate attitude of the detected line. The next section evaluates the correspondence analysis using real data.<\/p>\n\n

Next:<\/b> Real data<\/a>
\n Up:<\/b> Correspondence Analysis<\/a>
\n<\/p>\n

<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"

Synthetic data<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1946,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":""},"categories":[],"featured_image_src":null,"featured_image_src_square":null,"_links":{"self":[{"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/pages\/1956"}],"collection":[{"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/comments?post=1956"}],"version-history":[{"count":0,"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/pages\/1956\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/pages\/1946"}],"wp:attachment":[{"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/media?parent=1956"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/categories?post=1956"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}