| Package | Description |
|---|---|
| boofcv.abst.feature.associate | |
| boofcv.alg.feature.associate | |
| boofcv.alg.tracker.combined | |
| boofcv.factory.feature.associate | |
| boofcv.factory.tracker |
| Modifier and Type | Class and Description |
|---|---|
class |
AssociateNearestNeighbor<D extends TupleDesc_F64>
Matches features using a
NearestNeighbor search from DDogleg. |
static class |
EnforceUniqueByScore.Describe<Desc>
Implementation of
EnforceUniqueByScore for AssociateDescription. |
class |
WrapAssociateGreedy<T>
Wrapper around algorithms contained inside of
AssociateGreedy. |
class |
WrapAssociateSurfBasic
Wrapper around for
AssociateDescription. |
| Constructor and Description |
|---|
AssociateDescTo2D(AssociateDescription<D> alg) |
EnforceUniqueByScore.Describe(AssociateDescription<Desc> alg,
boolean checkSource,
boolean checkDestination) |
| Modifier and Type | Method and Description |
|---|---|
AssociateDescription<TupleDesc_F64> |
AssociateSurfBasic.getAssoc() |
| Constructor and Description |
|---|
AssociateSurfBasic(AssociateDescription<TupleDesc_F64> assoc) |
| Modifier and Type | Field and Description |
|---|---|
protected AssociateDescription<TD> |
CombinedTrackerScalePoint.associate |
| Constructor and Description |
|---|
CombinedTrackerScalePoint(PyramidKltForCombined<I,D> trackerKlt,
DetectDescribePoint<I,TD> detector,
AssociateDescription<TD> associate)
Configures tracker
|
| Modifier and Type | Method and Description |
|---|---|
static <D> AssociateDescription<D> |
FactoryAssociation.greedy(ScoreAssociation<D> score,
double maxError,
boolean backwardsValidation)
Returns an algorithm for associating features together which uses a brute force greedy algorithm.
|
static AssociateDescription<TupleDesc_F64> |
FactoryAssociation.kdRandomForest(int dimension,
int maxNodesSearched,
int numTrees,
int numConsiderSplit,
long randomSeed)
Approximate association using multiple random K-D trees (random forest) for descriptors with a high degree of
freedom, e.g.
|
static AssociateDescription<TupleDesc_F64> |
FactoryAssociation.kdtree(int dimension,
int maxNodesSearched)
Approximate association using a K-D tree degree of moderate size (10-15) that uses a best-bin-first search
order.
|
| Modifier and Type | Method and Description |
|---|---|
static <I extends ImageSingleBand,D extends ImageSingleBand,Desc extends TupleDesc> |
FactoryTrackerAlg.combined(DetectDescribePoint<I,Desc> detector,
AssociateDescription<Desc> associate,
PkltConfig kltConfig,
Class<I> imageType,
Class<D> derivType)
Creates a tracker that is a hybrid between KLT and Detect-Describe-Associate (DDA) trackers.
|
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