CovarMethod Class |
Namespace: Emgu.CV.CvEnum
The CovarMethod type exposes the following members.
| Name | Description | |
|---|---|---|
| CompareTo | Compares this instance to a specified object and returns an indication of their relative values. (Inherited from Enum.) | |
| Equals | Returns a value indicating whether this instance is equal to a specified object. (Inherited from Enum.) | |
| 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 | Returns the hash code for the value of this instance. (Inherited from Enum.) | |
| GetType | Gets the Type of the current instance. (Inherited from Object.) | |
| GetTypeCode | Returns the type code of the underlying type of this enumeration member. (Inherited from Enum.) | |
| HasFlag | Determines whether one or more bit fields are set in the current instance. (Inherited from Enum.) | |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
| ToString | Converts the value of this instance to its equivalent string representation. (Inherited from Enum.) | |
| ToString(IFormatProvider) | Obsolete. This method overload is obsolete; use ToString. (Inherited from Enum.) | |
| ToString(String) | Converts the value of this instance to its equivalent string representation using the specified format. (Inherited from Enum.) | |
| ToString(String, IFormatProvider) | Obsolete. This method overload is obsolete; use ToString(String). (Inherited from Enum.) |
| Name | Description | |
|---|---|---|
| Cols |
All the input vectors are stored in a single matrix, as its columns
| |
| Normal |
[v1-avg, v2-avg,...] * transpose([v1-avg,v2-avg,...])
| |
| Rows |
All the input vectors are stored in a single matrix, as its rows
| |
| Scale |
Scale the covariance matrix coefficients by number of the vectors
| |
| Scrambled |
Calculates covariation matrix for a set of vectors
transpose([v1-avg, v2-avg,...]) * [v1-avg,v2-avg,...]
| |
| UseAvg |
Do not calc average (i.e. mean vector) - use the input vector instead
(useful for calculating covariance matrix by parts)
| |
| value__ |