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Diffstat (limited to 'src/plugins/lipi-toolkit/3rdparty/lipi-toolkit/src/reco/shaperec/activedtw/ActiveDTWAdapt.h')
| -rw-r--r-- | src/plugins/lipi-toolkit/3rdparty/lipi-toolkit/src/reco/shaperec/activedtw/ActiveDTWAdapt.h | 194 |
1 files changed, 194 insertions, 0 deletions
diff --git a/src/plugins/lipi-toolkit/3rdparty/lipi-toolkit/src/reco/shaperec/activedtw/ActiveDTWAdapt.h b/src/plugins/lipi-toolkit/3rdparty/lipi-toolkit/src/reco/shaperec/activedtw/ActiveDTWAdapt.h new file mode 100644 index 00000000..276eeb24 --- /dev/null +++ b/src/plugins/lipi-toolkit/3rdparty/lipi-toolkit/src/reco/shaperec/activedtw/ActiveDTWAdapt.h @@ -0,0 +1,194 @@ +/***************************************************************************************** +* Copyright (c) 2006 Hewlett-Packard Development Company, L.P. +* Permission is hereby granted, free of charge, to any person obtaining a copy of +* this software and associated documentation files (the "Software"), to deal in +* the Software without restriction, including without limitation the rights to use, +* copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the +* Software, and to permit persons to whom the Software is furnished to do so, +* subject to the following conditions: +* +* The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. +* +* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, +* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A +* PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF +* CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE +* OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +*****************************************************************************************/ + +/************************************************************************ +* SVN MACROS +* +* $LastChangedDate: 2009-04-06 11:55:15 +0530 (Mon, 06 Apr 2009) $ +* $Revision: 758 $ +* $Author: royva $ +* +************************************************************************/ + +/************************************************************************ +* FILE DESCR: Implements ActiveDTWShapeRecognizer::Adapt +* +* CONTENTS: +* +* AUTHOR: S Anand +* +* DATE: 3-MAR-2009 +* CHANGE HISTORY: +* Author Date Description +************************************************************************/ +#pragma once + +#include "ActiveDTWShapeRecognizer.h" +#include "LTKLoggerUtil.h" +#include "LTKConfigFileReader.h" +#include "LTKErrors.h" +#include "LTKErrorsList.h" +#include "LTKPreprocDefaults.h" + +#define TRAINSINGLETONFACTOR 2 + +class ActiveDTWShapeRecognizer; + +class LTKAdapt +{ +private: + /** @name Constructor */ + LTKAdapt(ActiveDTWShapeRecognizer* ptrActiveDTWShapeReco); + + + static LTKAdapt* adaptInstance; + + static int m_count; + /**< @brief + * <p> + * Initially m_count = 0, when adapt is called on first sample + * it checks if m_count = 0, if yes it calls readAdaptConfig and then increments m_count to 1 + * Thus readAdaptConfig is called only once + * </p> + */ + +public: + static LTKAdapt* getInstance(ActiveDTWShapeRecognizer* ptrActiveDTWShapeReco); + + /** + * Adapts the shapeId + * + * Semantics + * + * - Reads the internal classifier config information incase of first sample to be adapted + + - Checks if the sample to be adapted was correctly classified or incorrectly classified + + - Incase of correct classification + --Check if the shape was closest to the cluster or singletons + --If sample to be adapted was closest to the clusters, and cluster size does not exceed + m_maxClusterSize, then call adaptCluster + --It sample to be adapted was closest to the singleton, call adaptSingleton + + -Incase of incorrect classification + --If the sample to be adapted was closest to a cluster, call adaptCluster + --If the sample to be adapted was closest to a singleton, call adaptSingleton + * + * @param shapeId : shape to be adapted + * @return SUCCESS : if the shapeId was adapted successfully + * ErrorCode: if some error occurs + * @exception ENEIGHBOR_INFO_VECTOR_EMPTY : ActiveDTWShapeRecognizer::m_neighbofInfoVec is empty + * @exception ESHAPE_SAMPLE_FEATURES_EMPTY : ActiveDTWShapeRecognizer::m_cachedShapeFeature is empty + */ + int adapt(int shapeId); + + /** @name Destructor */ + ~LTKAdapt(); + + void deleteInstance(); + +private: + +/**< @brief Pointer to ActiveDTWShapeRecognizer +* <p> +* +* </p> + */ + ActiveDTWShapeRecognizer* m_activedtwShapeRecognizer; + + //the maximum number of samples in a cluster + int m_maxClusterSize; + /**< @brief Maximum Cluster Size + * <p> + * Specifies the maximum number of samples that can be present in a cluster + * It must be >= the ActiveDTWShapeRecognizer::m_minClusterSize + * </p> + */ + + + /** + * This method reads Config variables related to Adapt from CFG + * + * Semantics + * + * + * @param none + * + * @return SUCCESS: + * FAILURE: return ErrorCode + * @exception none + */ + int readAdaptConfig(); + + /** + * Adapts the cluster with the new shapeFeature + * + * Semantics + * + * - Recomputes the eigen values, eigen vectors and cluster mean, + * using the old values and the new shape feature + * + * @param featureVecToAdapt : shapeFeature + * @param clusterId : cluster to be adapted + * @param shapeId : shape to be adapted + * @return SUCCESS : if the shapeId was adapted successfully + * ErrorCode: if some error occurs + * @exception EINVALID_SHAPEID + * @exception EINVALID_CLUSTER_ID + */ + int adaptCluster(shapeFeature& featureVecToAdapt,int clusterId,int shapeId); + + /** + * Adapts the set of singletons with the new shapeFeature + * + * Semantics + * + * - Adds the new shapeFeature to the current set of singletons + * + * - If the number of singletons exceeds a certain threshold train the singletons + * + * @param featureVecToAdapt : shapeFeature + * @param shapeId : shape to be adapted + * @return SUCCESS : if the shapeId was adapted successfully + * ErrorCode: if some error occurs + * @exception EINVALID_SHAPEID + */ + int adaptSingleton(shapeFeature& featureVecToAdapt,int shapeId); + + /** + * Performs training on the set of singletons + * + * Semantics + * + * - performs clustering on the singletons, resulting in new clusters and singleton set + * + * - cluster and singleton information are added to the shape model + * + * @param singletons : shapeMatrix + * @param shapeId : shape to be adapted + * @param index : index in ActiveDTWShapeRecognizer::m_prototypeShapes which holds the shapeModel information + * @return SUCCESS : if the shapeId was adapted successfully + * ErrorCode: if some error occurs + * @exception EINVALID_SHAPEID : shapeId specified is Invalid + * @exception EPROTOYPESHAPE_INDEX_OUT_OF_BOUND ; index value specified is Invalid + * @exception EEMPTY_EIGENVECTORS ; eigen vector dimension is < 0 + * @exception EINVALID_NUM_OF_EIGENVECTORS : number of eigen vectors < 0 + */ + int trainSingletons(const shapeMatrix &singletons,int shapeId,int index); +}; |