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cv.BoostDesc

Class implementing BoostDesc (Learning Image Descriptors with Boosting)

As described in [Trzcinski13a] and [Trzcinski13b].

References

[Trzcinski13a]:

V. Lepetit T. Trzcinski, M. Christoudias and P. Fua. "Boosting Binary Keypoint Descriptors". In Computer Vision and Pattern Recognition, 2013.

[Trzcinski13b]:

M. Christoudias T. Trzcinski and V. Lepetit. "Learning Image Descriptors with Boosting". Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013.

See also
Class Details
Superclasses handle
Sealed false
Construct on load false
Constructor Summary
BoostDesc Constructor 
Property Summary
ScaleFactor Adjust the sampling window of detected keypoints. 
UseScaleOrientation Sample patterns using keypoints orientation. 
id Object ID 
Method Summary
  addlistener Add listener for event. 
  clear Clears the algorithm state 
  compute Computes the descriptors for a set of keypoints detected in an image or image set 
  defaultNorm Returns the default norm type 
  delete Destructor 
  descriptorSize Returns the descriptor size in bytes 
  descriptorType Returns the descriptor type 
  empty Checks if detector object is empty 
  eq == (EQ) Test handle equality. 
  findobj Find objects matching specified conditions. 
  findprop Find property of MATLAB handle object. 
  ge >= (GE) Greater than or equal relation for handles. 
  getDefaultName Returns the algorithm string identifier 
  gt > (GT) Greater than relation for handles. 
Sealed   isvalid Test handle validity. 
  le <= (LE) Less than or equal relation for handles. 
  listener Add listener for event without binding the listener to the source object. 
  load Loads algorithm from a file or a string 
  lt < (LT) Less than relation for handles. 
  ne ~= (NE) Not equal relation for handles. 
  notify Notify listeners of event. 
  save Saves the algorithm parameters to a file 
  typeid Name of the C++ type (RTTI) 
Event Summary
ObjectBeingDestroyed Notifies listeners that a particular object has been destroyed.