RealBasic: Computer Vision -> FAST Corner Detection

As promised, here is the FAST (Features from Accelerated Segment Test) implementation in RealBasic! And as you’ll notice, this is extremely fast!


AST is an acronym standing for Accelerated Segment Test. This test is a relaxed version of the SUSAN corner criterion. Instead of evaluating the circular disc only the pixels in a Bresenham circle of radius r around the candidate point are considered. If n contiguous pixels are all brighter than the nucleus by at least t or all darker than the nucleus by t, then the pixel under the nucleus is considered to be a feature. This test is reported to produce very stable features.[17] The choice of the order in which the pixels are tested is a so called Twenty Questions problem. Building short decision trees for this problem results in the most computationally efficient feature detectors available.

The first corner detection algorithm based on the AST is FAST (Features from Accelerated Segment Test). Although r can in principle take any value, FAST uses only a value of 3 (corresponding to a circle of 16 pixels circumference), and tests show that the best results are achieved with n being 9. This value of n is the lowest one at which edges are not detected. The order in which pixels are tested is determined by the ID3 algorithm from a training set of images. Confusingly, the name of the detector is somewhat similar to the name of the paper describing Trajkovic and Hedley’s detector.

It is the RealBasic translation of the nonmaximal FAST-9 written by Edward Rosten
With this library you can find Corners very fast within a picture.

and it can do this under e.g. different light intensities:

Again, the RealBasic engine has a simple interface so you can focus on the fun stuff!

    dim FCD as new ABFastCornerDetector
  dim tmpXYTraining(-1) as ABXY
  dim i as integer
  dim j as integer
  dim pic as Picture
  dim tmpPic as Picture
  dim DownSample as integer
  dim build2Dim as Boolean = true
  Dim f as FolderItem
  dim ft1 as new filetype = "picture"
  ft1.Extensions = ".png;.bmp;.jpg;.jpeg"
  dim dlg as OpenDialog
  dlg = new OpenDialog
  dlg.Title = "Pick picture"
  dlg.PromptText = "Pick a picture to compare"
  if dlg.InitialDirectory = nil then
    dlg.InitialDirectory = GetFolderItem("")
  end if
  f = dlg.ShowModal
  if f <> nil then
    if f.Exists then
      pic = f.OpenAsPicture
    end if
  end if
  ' these are then numbers you can play with
  FCD.threshold_detection = 20
  FCD.threshold_scoring = 0
  DownSample = 2
  ' do the FAST detection
  tmpXYTraining = FCD.detectFASTCornerFeatures(pic,DownSample, build2Dim)
  tmpPic = NewPicture(pic.Width, pic.Height, 32)
  tmpPic.Graphics.DrawPicture pic,0,0
  tmpPic.Graphics.ForeColor = &cFF0000
  ' and draw them
  for i = 0 to UBound(tmpXYTraining)
    tmpPic.Graphics.DrawLine tmpXYTraining(i).x*DownSample - 3, tmpXYTraining(i).y*DownSample, tmpXYTraining(i).x*DownSample + 3, tmpXYTraining(i).y*DownSample
    tmpPic.Graphics.DrawLine tmpXYTraining(i).x*DownSample, tmpXYTraining(i).y*DownSample-3, tmpXYTraining(i).x*DownSample, tmpXYTraining(i).y*DownSample+3
  Canvas1.Graphics.FillRect 0,0, 640,480
  Canvas1.Graphics.DrawPicture tmpPic,0,0

You can download the FAST engine from:

Until the next post!

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About Alwaysbusy

My name is Alain Bailleul and I'm the Senior Software Architect/Engineer at One-Two. I like to experiment with new technologies, Computer Vision and A.I. My projects are programmed in B4X , Xojo, C#, java, HTML, CSS and JavaScript. View all posts by Alwaysbusy

4 responses to “RealBasic: Computer Vision -> FAST Corner Detection

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