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📁 KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker KLT: An Implementation of the
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<title> </title><a href = "../index.html"><IMG SRC="../home_motif.gif" ALIGN=bottom></a><a href = "index.html"><IMG SRC="../toc_motif.gif" ALIGN=bottom></a><a href = "tc.html"><IMG SRC="../previous_motif.gif" ALIGN=bottom></a><a href = "fl.html"><IMG SRC="../next_motif.gif" ALIGN=bottom></a><hr><h2> KLT_Feature </h2> <h2> <code>typedef struct  {<br>     KLT_locType x;<br>     KLT_locType y;<br>     int val;<br>}  *KLT_Feature;<br></code></h2>A KLT_Feature contains an (x,y) location and a value.  (<code>KLT_locType</code> is equalto <code>float</code>.)  The value is interpreted as follows:<ol><li> A positive value means the feature has just been found byKLTSelectGoodFeatures() or KLTReplaceLostFeatures().  <li> <code>KLT_TRACKED</code> (0) means the feature has been successfully tracked.  <li> <code>KLT_NOT_FOUND</code> (-1) means that no feature could be found.  For example,if the user attempts to find 150 features in an image, but only 125 can be found, then theremaining 25 will be assigned a value of <code>KLT_NOT_FOUND</code>.<li> <code>KLT_SMALL_DET</code> (-2) indicates that the feature has been lost due tothe 2 by 2 gradient matrix having a small determinant.<li> <code>KLT_MAX_ITERATIONS</code> (-3) means that the feature has been lost because the number of iterations exceeded the maximum allowable.<li> <code>KLT_OOB</code> (-4) means that the feature has been lost because it was out of bounds (i.e., it was too close to the image border).<li> <code>KLT_LARGE_RESIDUE</code> (-5) means that the feature has been lost because the residue between the two feature windows was too large.</ol><hr><a href = "../index.html"><IMG SRC="../home_motif.gif" ALIGN=bottom></a><a href = "index.html"><IMG SRC="../toc_motif.gif" ALIGN=bottom></a><a href = "tc.html"><IMG SRC="../previous_motif.gif" ALIGN=bottom></a><a href = "fl.html"><IMG SRC="../next_motif.gif" ALIGN=bottom></a>

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