diff --git a/console_app/CMakeLists.txt b/console_app/CMakeLists.txt
deleted file mode 100644
index 9a9284c3..00000000
--- a/console_app/CMakeLists.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-
-
-SET(SRC_FILES
-    main.cpp
-)
-
-SET(INCLUDE_DIRS
-    ${OpenCV_INCLUDE_DIRS}
-)
-
-SET(LIBRARIES
-	${OpenCV_LIBS} 
-)
-
-# Make sure the compiler can find include files from our library.
-INCLUDE_DIRECTORIES(${INCLUDE_DIRS})
-
-# Add binary called "console" that is built from the source file "main.cpp".
-# The extension is automatically found.
-ADD_EXECUTABLE(console ${SRC_FILES})
-TARGET_LINK_LIBRARIES(console ${LIBRARIES})
-
-SET_TARGET_PROPERTIES( console 
-  PROPERTIES OUTPUT_NAME ${PROJECT_PREFIX}-console)
-
-INSTALL(TARGETS console
-        RUNTIME DESTINATION bin COMPONENT runtime
-        BUNDLE DESTINATION "${CMAKE_BUNDLE_LOCATION}" COMPONENT runtime)
diff --git a/console_app/main.cpp b/console_app/main.cpp
deleted file mode 100644
index 1a6c808b..00000000
--- a/console_app/main.cpp
+++ /dev/null
@@ -1,164 +0,0 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-
-// OpenCV stuff
-#include <opencv2/core/core.hpp>
-#include <opencv2/highgui/highgui.hpp>
-#include <opencv2/features2d/features2d.hpp>
-#include <opencv2/nonfree/features2d.hpp>
-#include <opencv2/calib3d/calib3d.hpp> // for homography
-
-void showUsage()
-{
-	printf(
-	"\n"
-	"Return similarity between two images (the number of similar features between the images).\n"
-	"Usage :\n"
-	"  ./find_object-console [option] object.png scene.png\n"
-	"Options: \n"
-	"   -inliers            return inliers percentage : inliers / (inliers + outliers)\n"
-	"   -quiet              don't show messages\n");
-
-	exit(-1);
-}
-
-enum {mTotal, mInliers};
-
-int main(int argc, char * argv[])
-{
-	bool quiet = false;
-	int method = mTotal; //total matches
-	if(argc<3)
-	{
-		printf("Two images required!\n");
-		showUsage();
-	}
-	else if(argc>3)
-	{
-		for(int i=1; i<argc-2; ++i)
-		{
-			if(std::string(argv[i]).compare("-inliers") == 0)
-			{
-				method = mInliers;
-			}
-			else if(std::string(argv[i]).compare("-quiet") == 0)
-			{
-				quiet = true;
-			}
-			else
-			{
-				printf("Option %s not recognized!", argv[1]);
-				showUsage();
-			}
-		}
-	}
-
-
-	//Load as grayscale
-	cv::Mat objectImg = cv::imread(argv[argc-2], cv::IMREAD_GRAYSCALE);
-	cv::Mat sceneImg = cv::imread(argv[argc-1], cv::IMREAD_GRAYSCALE);
-
-	int value = 0;
-	if(!objectImg.empty() && !sceneImg.empty())
-	{
-		std::vector<cv::KeyPoint> objectKeypoints;
-		std::vector<cv::KeyPoint> sceneKeypoints;
-		cv::Mat objectDescriptors;
-		cv::Mat sceneDescriptors;
-
-		////////////////////////////
-		// EXTRACT KEYPOINTS
-		////////////////////////////
-		cv::SIFT sift;
-		sift.detect(objectImg, objectKeypoints);
-		sift.detect(sceneImg, sceneKeypoints);
-
-		////////////////////////////
-		// EXTRACT DESCRIPTORS
-		////////////////////////////
-		sift.compute(objectImg, objectKeypoints, objectDescriptors);
-		sift.compute(sceneImg, sceneKeypoints, sceneDescriptors);
-
-		////////////////////////////
-		// NEAREST NEIGHBOR MATCHING USING FLANN LIBRARY (included in OpenCV)
-		////////////////////////////
-		cv::Mat results;
-		cv::Mat dists;
-		std::vector<std::vector<cv::DMatch> > matches;
-		int k=2; // find the 2 nearest neighbors
-
-		// Create Flann KDTree index
-		cv::flann::Index flannIndex(sceneDescriptors, cv::flann::KDTreeIndexParams(), cvflann::FLANN_DIST_EUCLIDEAN);
-		results = cv::Mat(objectDescriptors.rows, k, CV_32SC1); // Results index
-		dists = cv::Mat(objectDescriptors.rows, k, CV_32FC1); // Distance results are CV_32FC1
-
-		// search (nearest neighbor)
-		flannIndex.knnSearch(objectDescriptors, results, dists, k, cv::flann::SearchParams() );
-
-		////////////////////////////
-		// PROCESS NEAREST NEIGHBOR RESULTS
-		////////////////////////////
-
-		// Find correspondences by NNDR (Nearest Neighbor Distance Ratio)
-		float nndrRatio = 0.6f;
-		std::vector<cv::Point2f> mpts_1, mpts_2; // Used for homography
-		std::vector<int> indexes_1, indexes_2; // Used for homography
-		std::vector<uchar> outlier_mask;  // Used for homography
-		// Check if this descriptor matches with those of the objects
-
-		for(int i=0; i<objectDescriptors.rows; ++i)
-		{
-			// Apply NNDR
-			if(dists.at<float>(i,0) <= nndrRatio * dists.at<float>(i,1))
-			{
-				mpts_1.push_back(objectKeypoints.at(i).pt);
-				indexes_1.push_back(i);
-
-				mpts_2.push_back(sceneKeypoints.at(results.at<int>(i,0)).pt);
-				indexes_2.push_back(results.at<int>(i,0));
-			}
-		}
-
-		if(method == mInliers)
-		{
-			// FIND HOMOGRAPHY
-			unsigned int minInliers = 8;
-			if(mpts_1.size() >= minInliers)
-			{
-				cv::Mat H = findHomography(mpts_1,
-						mpts_2,
-						cv::RANSAC,
-						1.0,
-						outlier_mask);
-				int inliers=0, outliers=0;
-				for(unsigned int k=0; k<mpts_1.size();++k)
-				{
-					if(outlier_mask.at(k))
-					{
-						++inliers;
-					}
-					else
-					{
-						++outliers;
-					}
-				}
-				if(!quiet)
-					printf("Total=%d Inliers=%d Outliers=%d\n", (int)mpts_1.size(), inliers, outliers);
-				value = (inliers*100) / (inliers+outliers);
-			}
-		}
-		else
-		{
-			value = mpts_1.size();
-		}
-	}
-	else
-	{
-		printf("Images are not valid!\n");
-		showUsage();
-	}
-	if(!quiet)
-		printf("Similarity = %d\n", value);
-	return value;
-}