From ef0d1dae2de0046682e847e56b6fa05e0fb6e565 Mon Sep 17 00:00:00 2001
From: Josh Klontz <josh@rankone.io>
Date: Tue, 9 Jun 2015 11:09:16 -0400
Subject: [PATCH] dropped RowWisePCATransform

---
 openbr/plugins/classification/lda.cpp | 44 --------------------------------------------
 1 file changed, 0 insertions(+), 44 deletions(-)

diff --git a/openbr/plugins/classification/lda.cpp b/openbr/plugins/classification/lda.cpp
index 86907ca..4fc9ff5 100644
--- a/openbr/plugins/classification/lda.cpp
+++ b/openbr/plugins/classification/lda.cpp
@@ -224,50 +224,6 @@ BR_REGISTER(Transform, PCATransform)
 
 /*!
  * \ingroup transforms
- * \brief PCA on each row.
- * \author Josh Klontz \cite jklontz
- */
-class RowWisePCATransform : public PCATransform
-{
-    Q_OBJECT
-
-    void train(const TemplateList &trainingSet)
-    {
-        if (trainingSet.first().m().type() != CV_32FC1)
-            qFatal("Requires single channel 32-bit floating point matrices.");
-
-        originalRows = trainingSet.first().m().rows;
-        const int dimsIn = trainingSet.first().m().cols;
-        int instances = 0;
-        foreach (const Template &t, trainingSet)
-            instances += t.m().rows;
-
-        // Map into 64-bit Eigen matrix
-        Eigen::MatrixXd data(dimsIn, instances);
-        int index = 0;
-        foreach (const Template &t, trainingSet)
-            for (int i=0; i<t.m().rows; i++)
-                data.col(index++) = Eigen::Map<const Eigen::MatrixXf>(t.m().ptr<float>(i), dimsIn, 1).cast<double>();
-
-        PCATransform::trainCore(data);
-    }
-
-    void project(const Template &src, Template &dst) const
-    {
-        dst = cv::Mat(src.m().rows, keep, CV_32FC1);
-
-        for (int i=0; i<src.m().rows; i++) {
-            Eigen::Map<const Eigen::MatrixXf> inMap(src.m().ptr<float>(i), src.m().cols, 1);
-            Eigen::Map<Eigen::MatrixXf> outMap(dst.m().ptr<float>(i), keep, 1);
-            outMap = eVecs.transpose() * (inMap - mean);
-        }
-    }
-};
-
-BR_REGISTER(Transform, RowWisePCATransform)
-
-/*!
- * \ingroup transforms
  * \brief Computes Distance From Feature Space (DFFS)
  * \br_paper Moghaddam, Baback, and Alex Pentland.
  *           "Probabilistic visual learning for object representation."
--
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