detectMinEigenFeatures
Detect corners using minimum eigenvalue algorithm and
return cornerPoints
object
Description
returns
a points
= detectMinEigenFeatures(I
)cornerPoints
object, points
.
The object contains information about the feature points detected
in a 2-D grayscale input image, I
. The detectMinEigenFeatures
function
uses the minimum eigenvalue algorithm developed by Shi and Tomasi
to find feature points.
uses additional options specified by one or more points
= detectMinEigenFeatures(I
,Name,Value
)Name,Value
pair arguments.
Examples
Input Arguments
Output Arguments
References
[1] Shi, J., and C. Tomasi, "Good Features to Track," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 1994, pp. 593–600.
Extended Capabilities
Version History
Introduced in R2013a
See Also
Functions
detectSURFFeatures
|detectBRISKFeatures
|detectFASTFeatures
|detectHarrisFeatures
|detectMSERFeatures
|detectKAZEFeatures
|detectORBFeatures
|extractFeatures
|extractHOGFeatures
|detectFASTFeatures
|matchFeatures