{"id":1985,"date":"2014-02-05T17:32:41","date_gmt":"2014-02-05T17:32:41","guid":{"rendered":"https:\/\/www.anagram.at\/en\/diplomarbeit\/intensity-based-correspondence-analysis\/"},"modified":"2014-02-05T17:32:41","modified_gmt":"2014-02-05T17:32:41","slug":"intensity-based-correspondence-analysis","status":"publish","type":"page","link":"https:\/\/www.anagram.at\/en\/diplomarbeit\/intensity-based-correspondence-analysis\/","title":{"rendered":"Intensity-based correspondence analysis"},"content":{"rendered":"

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

<\/p>\n
Intensity-based correspondence analysis
\n<\/h2>\n
\nIntensity-based approaches compare intensity distributions between two images. Figure 2.12<\/a> shows two images and four intensity profiles. <\/p>\n
<\/p>\n\n\n
Figure 2.12:<\/strong>
\nThe image pair shown above is retrieved from the Calibrated Imaging Laboratory of CMU. They are taken from a parallel stereo configuration<\/caption>\n
\n
\n $\"Image$ <\/div>\n<\/td>\n<\/tr>\n<\/table>\n<\/div>\n
The distributions correspond to the black lines marked in the images. One at row 80 and the other at row 230. In fact, a close look at the intensity profiles from the corresponding rows of the image pair reveals that the two intensity profiles differ only by a horizontal shift and a local foreshortening. Figure 2.12<\/a>a and Figure 2.12<\/a>b depict the images taken with a camera that undergoes a displacement in the horizontal direction, the image pair therefore corresponds to a parallel camera set up. The same situation can be reached with any stereo system using rectification (see Section 2.3.3<\/a> for more information). The result of an intensity-based method is a dense disparity map $\"$$ , thus for every pixel its disparity is known. Unfortunately there are also occlusions in stereo images, for this parts of the image d(x) are undefined or set to a special value which represents an occluded area.<\/p>\n
\nThere are several ways to find a solution for the corresponding problem. Two approaches will be mentioned: correlation and phase difference. <\/p>\n<\/p>\n\n
Subsections<\/strong><\/a><\/p>\n
\n
Correlation<\/a>\n<\/li>\n
Phase Difference<\/a>\n<\/li>\n<\/ul>\n
<\/p>\n\n
Next:<\/b> Correlation<\/a>
\n Up:<\/b> Correspondence Analysis<\/a>
\n<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
Intensity-based correspondence analysis<\/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\/1985"}],"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=1985"}],"version-history":[{"count":0,"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/pages\/1985\/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=1985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.anagram.at\/en\/wp-json\/wp\/v2\/categories?post=1985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}