Interface GradientCornerIntensity<T extends ImageGray<T>>
- All Superinterfaces:
- All Known Implementing Classes:
Several different types of corner detectors [1,2] all share the same initial processing steps. First a 2 by 2 deformation matrix D = [ Ixx , Ixy ; Iyx , Iyy] is computed around each pixel. D is computed by summing up the product of each pixel's gradient inside of a window. Next how corner like each pixel is computed using the information in the deformation matrix. In the final step where each of these techniques differ.
Ixx = Sum dX*dX
Ixy = Iyx = Sum dX*dY
Iyy = Sum dY*dY
where the Sum is the sum across all the pixels within a rectangular window, and [dX,dY] is a pixel's gradient.
Alternative implementations can consider a weighted window around the pixel. By considering only a uniform set of weights several optimizations are possible. The runtime is independent of the window size and can be very efficiently computed.
 Jianbo Shi and Carlo Tomasi. Good Features to Track. IEEE Conference on Computer Vision and Pattern Recognition,
pages 593-600, 1994
 E.R. Davies, "Machine Vision Theory Algorithms Practicalities," 3rd ed. 2005
Methods inherited from interface boofcv.alg.feature.detect.intensity.FeatureIntensity
processComputes feature intensity image.
derivX- Image derivative along the x-axis.
derivY- Image derivative along the y-axis.
intensity- Output intensity image
getInputTypeType of input image.