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HaarClassifier Class |
Inheritance HierarchyAccord.Vision.DetectionHaarClassifier
Namespace: Accord.Vision.Detection
Assembly: Accord.Vision (in Accord.Vision.dll) Version: 3.8.0
SyntaxThe HaarClassifier type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | HaarClassifier(HaarCascade) |
Constructs a new classifier.
|
| HaarClassifier(Int32, Int32, HaarCascadeStage) |
Constructs a new classifier.
|
Properties| Name | Description | |
|---|---|---|
 | Cascade |
Gets the cascade of weak-classifiers
used by this strong classifier.
|
| Scale |
Gets or sets the scale of the search window
being currently used by the classifier.
|
Methods| Name | Description | |
|---|---|---|
| Compute |
Detects the presence of an object in a given window.
|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Extension Methods| Name | Description | |
|---|---|---|
 | HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) |
| IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) |
| To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
| ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
RemarksThe Viola-Jones object detection framework is the first object detection framework to provide competitive object detection rates in real-time proposed in 2001 by Paul Viola and Michael Jones. Although it can be trained to detect a variety of object classes, it was motivated primarily by the problem of face detection.
The implementation of this code has used Viola and Jones' original publication, the OpenCV Library and the Marilena Project as reference. OpenCV is released under a BSD license, it is free for both academic and commercial use. Please be aware that some particular versions of the Haar object detection framework are patented by Viola and Jones and may be subject to restrictions for use in commercial applications. The code has been implemented with full support for tilted Haar features.
References:
See Also