An object recognizer using PCA (Principle Components Analysis)
Namespace: Emgu.CVAssembly: Emgu.CV (in Emgu.CV.dll) Version: 2.2.0.1010 (2.2.0.1010)
Syntax
| C# | Visual Basic | Visual C++ |
[SerializableAttribute] public class EigenObjectRecognizer
<SerializableAttribute> _ Public Class EigenObjectRecognizer
[SerializableAttribute] public ref class EigenObjectRecognizer
Members
| All Members | Constructors  | Properties  | Methods |
 Public Protected | Instance Static  | Declared Inherited | XNA Framework Only  .NET Compact Framework Only  |
| Member | Description | |
|---|---|---|
| EigenObjectRecognizer(array<Image<(Of <<'(Gray, Byte>)>>)>[]()[][], MCvTermCriteria%) |
Create an object recognizer using the specific tranning data and parameters, it will always return the most similar object
|
| EigenObjectRecognizer(array<Image<(Of <<'(Gray, Byte>)>>)>[]()[][], array<String>[]()[][], MCvTermCriteria%) |
Create an object recognizer using the specific tranning data and parameters, it will always return the most similar object
|
| EigenObjectRecognizer(array<Image<(Of <<'(Gray, Byte>)>>)>[]()[][], array<String>[]()[][], Double, MCvTermCriteria%) |
Create an object recognizer using the specific tranning data and parameters
|
| AverageImage |
Get the average Image.
|
| CalcEigenObjects(array<Image<(Of <<'(Gray, Byte>)>>)>[]()[][], MCvTermCriteria%, array<Image<(Of <<'(Gray, Single>)>>)>[]()[][]%, Image<(Of <<'(Gray, Single>)>>)%) |
Caculate the eigen images for the specific traning image
|
| EigenDecomposite(Image<(Of <<'(Gray, Byte>)>>), array<Image<(Of <<'(Gray, Single>)>>)>[]()[][], Image<(Of <<'(Gray, Single>)>>)) |
Decompose the image as eigen values, using the specific eigen vectors
|
| EigenDistanceThreshold |
Get or set the eigen distance threshold.
The smaller the number, the more likely an examined image will be treated as unrecognized object.
Set it to a huge number (e.g. 5000) and the recognizer will always treated the examined image as one of the known object.
|
| EigenImages |
Get the eigen vectors that form the eigen space
|
| EigenProjection(array<Single>[]()[][]) |
Given the eigen value, reconstruct the projected image
|
| EigenValues |
Get the eigen values of each of the training image
|
| Equals(Object) | (Inherited from Object.) |
 | Finalize()()()() |
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.) |
| FindMostSimilarObject(Image<(Of <<'(Gray, Byte>)>>), Int32%, Single%, String%) |
Given the image to be examined, find in the database the most similar object, return the index and the eigen distance
|
| GetEigenDistances(Image<(Of <<'(Gray, Byte>)>>)) |
Get the Euclidean eigen-distance between image and every other image in the database
|
| GetHashCode()()()() |
Serves as a hash function for a particular type.
(Inherited from Object.) |
| GetType()()()() |
Gets the Type of the current instance.
(Inherited from Object.) |
| Labels |
Get or set the labels for the corresponding training image
|
| MemberwiseClone()()()() |
Creates a shallow copy of the current Object.
(Inherited from Object.) |
| Recognize(Image<(Of <<'(Gray, Byte>)>>)) |
Try to recognize the image and return its label
|
| ToString()()()() | (Inherited from Object.) |
Inheritance Hierarchy
See Also
