AlgorihthmEval: configuring over XML

The XML tag AlgorithmEval contains four elemens on top level:

        <LocateAlgorithm or RefineAlgorihtm or ProveAlgorihtm or AttentionAlgorithm />
        <AlgType></AlgType>
        <Eval></Eval>
        <AvgTime></AvgTime>

The first (necessarily the first) will be loaded by on of the plugin loader for Algorithms (Locate, Refine, Prove, Attention), this tag can have any name.

The second one specifies if the algorithm is able be iteratively called and if it can work to detect more than one object.

Eval and Avg time are the initial Evaluation.

Possible LocateAlgorithm are:

Name	Description	XML Configuration	Required Descriptors
FaceDetection	Uses OpenCV Face Detection to detect human faces in an RGB camera image	<FaceDetection/>	<DetectedFace/>
ShapeBased3DAlg	CAD matching	<ShapeBased3DAlg/>	<ShapeModel/>
TwoInOneAlg	Applies two Locatealgorithms sequentially	<TwoInOneAlg/>	None
IntersectTwoRuns	Applies a Locatealgorithms on two readings of different sensors.	<IntersectTwoRuns/>	None
CheckColorClass	Simple color classification	<CheckColorClass/>	<ColorClass/>
DeformShapeBasedAlg	Perspective shape model matching	<DeformShapeBasedAlg />	<DeformShapeModel/>
FindCalTab	Locate a Calbration plate	<FindCalTab/>	<CalTab/>
ClusterDetector	Extracts euclidean Clusters from range data	<ClusterDetector/>	<SegmentPrototype/>
!HClusterDetector	Extracts euclidean Clusters from range data	<HClusterDetector/>	<SegmentPrototype/>
SurfaceDetection	Matches 3D Surfaces	<SurfaceDetection/>	<SurfaceModel/>
DetectTransparentObjectCandidatet	Creates Candidates for Transparent objects	<DetectTransparentObjectCandidate />	<TransparentObjectCandidate/>
PanCakeDetector	Detects bright region inside a matched planar template (Names are more specialized than the method)	<PanCakeDetector />	<PanCakeMaker/>
DetectPlate	Locates the most complete circle of a specific size in an image (Names are more specialized than the method)	<DetectPlate />	<CircleDescriptor/>

Possible RefineAlgorithm are:

Name	Description	XML Configuration	Required Descriptors	Resulting Descriptor
RFAClassByDPs	Uses a descriptor based classification to determine a class based on a SVM classifier trained for a predefined set of classes	<RFAClassByDPs/>	<SegmentPrototype/>	<NamedClass/>
DetectTransparentObject	Uses a TransparentObjectCandidate to verify the transparancy at a certain location	<DetectTransparentObject/>	<TransparentObjectCandidate/>	<TransparentObject/>
RFADeformByCluster	Learns a planar shape model which can be matched perspective invariant	<RFADeformByCluster/>	<SegmentPrototype/>	<DeformShapeModel/>
RFAColorByShape	Learns a planar shape model which can be matched perspective invariant	<RFAColorByShape/>	<SegmentPrototype/>	<ColorClass/>
ShapeModelDownloader	Learns a planar shape model which can be matched perspective invariant	<ShapeModelDownloader/>	unbound class	<ShapeModel/>
CopOduRefine	Classifies objects using objects_of_daily_use_finder package	<CopOduRefine/>	<SegmentPrototype/>	<NamedClass/>

Possible Attention Algorithms are:

Name	Description	XML Configuration	Required Descriptors	Resulting Descriptor
FindBarCode	Reports all Barcodes in the current image, with an increasing certainty for repeated views.	<FindBarCode/>	none	<BarCode/>