from Wiktionary, Creative Commons Attribution/Share-Alike License
- n. The state or quality of being spelt homographically; the state or quality of existing as homographs.
from the GNU version of the Collaborative International Dictionary of English
- n. That method of spelling in which every sound is represented by a single character, which indicates that sound and no other.
- n. A relation between two figures, such that to any point of the one corresponds one and but one point in the other, and vise versa. Thus, a tangent line rolling on a circle cuts two fixed tangents of the circle in two sets of points that are homographic.
from The Century Dictionary and Cyclopedia
- n. In orthography, the representation of each sound by a distinctive character, which is employed for that sound alone.
- n. In geometry, the relation between homographic figures.
Sorry, no etymologies found.
He based this on the homophony and homography of the first singular, and 'homophony' of the 2nd singular pronoun.
What you write is as important as the way you read it which increases the risk of execution for scribes who are not careful enough about homophony, homography, and literary connotations ; one emperor's tendency to paranoïa critique is often deadly.
Step 4: Project and blend the second image using the homography
Step 3: Create the homography matrix using a robust estimator
After our homography matrix has been computed, all that is left for us is to blend the two images together.
RansacHomographyEstimator class for estimating homography matrices using RANSAC.
RANSAC object with the parameters for fitting an homography matrix.
By estimating the correct values for the homography matrix, we could obtain a transformation like the following:
In more formal terms, a homography is an invertible transformation from the real projective plane to the projective plane that maps straight lines to straight lines.
For the problem of homography estimation, RANSAC works by trying to fit several models using some of the points pairs and then checking if the models were able to relate most of the points.
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