boofcv.alg.descriptor

Class UtilFeature

java.lang.Object

boofcv.alg.descriptor.UtilFeature

public class UtilFeature
extends java.lang.Object

Various utilities related to image features

Constructor Summary

Constructors

Constructor and Description
UtilFeature()

Method Summary

Modifier and Type	Method and Description
static TupleDesc_F64	combine(java.util.List<TupleDesc_F64> inputs, TupleDesc_F64 combined) Concats the list of tuples together into one big feature.
static <TD extends TupleDesc> FastQueue<TD>	createQueue(DescribeRegionPoint<?,TD> detDesc, int initialMax) Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint.
static <TD extends TupleDesc> FastQueue<TD>	createQueue(DetectDescribeMulti<?,TD> detDesc, int initialMax) Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint.
static <TD extends TupleDesc> FastQueue<TD>	createQueue(DetectDescribePoint<?,TD> detDesc, int initialMax) Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint.
static void	normalizeL2(TupleDesc_F64 desc) Normalized the tuple such that the L2-norm is equal to 1.
static void	normalizeSumOne(TupleDesc_F64 desc) Normalized the tuple such that it's sum is equal to 1.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

UtilFeature

public UtilFeature()

Method Detail

createQueue

public static <TD extends TupleDesc> FastQueue<TD> createQueue(DescribeRegionPoint<?,TD> detDesc,
                                                               int initialMax)

Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint. The queue will have declareInstance set to true, otherwise why would you be using this function?

createQueue

public static <TD extends TupleDesc> FastQueue<TD> createQueue(DetectDescribePoint<?,TD> detDesc,
                                                               int initialMax)

Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint. The queue will have declareInstance set to true, otherwise why would you be using this function?

createQueue

public static <TD extends TupleDesc> FastQueue<TD> createQueue(DetectDescribeMulti<?,TD> detDesc,
                                                               int initialMax)

Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint. The queue will have declareInstance set to true, otherwise why would you be using this function?

combine

public static TupleDesc_F64 combine(java.util.List<TupleDesc_F64> inputs,
                                    TupleDesc_F64 combined)

Concats the list of tuples together into one big feature. The combined feature must be large enough to store all the inputs.

Parameters:

inputs - List of tuples.

combined - Storage for combined output. If null a new instance will be declared.

Returns:

Resulting combined.

normalizeL2

public static void normalizeL2(TupleDesc_F64 desc)

Normalized the tuple such that the L2-norm is equal to 1. This is also often referred to as the Euclidean or frobenius (all though that's a matrix norm).

value[i] = value[i]/sqrt(sum(value[j]*value[j], for all j))

Parameters:

desc - tuple

normalizeSumOne

public static void normalizeSumOne(TupleDesc_F64 desc)

Normalized the tuple such that it's sum is equal to 1.

value[i] = value[i]/sqrt(sum(value[j], for all j))

Parameters:

desc - tuple