Initial commit

.gitignore

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+cToMatlab
+outputImages
+*~
+*.jpg

Makefile

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+
+INCS = 
+LIBS = 
+
+
+DEFINCS = -I/usr/include -I/usr/include/opencv2
+DEFLIBS = -L/usr/lib 
+LINKLIBS = -lopencv_core -lopencv_highgui -lopencv_imgproc 
+
+CPP  = g++
+CC   = gcc
+OBJ  = main.o cvcalibinit3.o 
+LINKOBJ  = main.o cvcalibinit3.o 
+BIN  = FindCorners.exe
+RM = rm -f
+
+
+all: $(BIN)
+
+clean:
+	${RM} $(OBJ) $(BIN)
+
+$(BIN): $(OBJ)
+	$(CPP) $(LINKOBJ) -g -o $(BIN)  $(LIBS) $(DEFLIBS) $(LINKLIBS)
+
+main.o: main.cpp
+	$(CPP) -c -g main.cpp -o main.o $(INCS) $(DEFINCS) 
+
+cvcalibinit3.o: cvcalibinit3.cpp
+	$(CPP) -c -g cvcalibinit3.cpp -o cvcalibinit3.o  $(INCS) $(DEFINCS)

README_FOR_LINUX.TXT

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+How to use this code:
+
+<1> make sure you have opencv library installed. If you have it, please go to step <2>; if not, follow the tips below:
+   - sudo apt-get install libopencv-dev
+   - All the header files will be installed in /usr/include/opencv by default
+   - All the libraries will be installed in /usr/lib by default
+   - go to step <3>
+<2> if you have opencv already installed from source code, please modify the Makefile as:
+   - INCS= your correct opencv include path, e.g. /usr/local/include/opencv (which is the default path of opencv library)
+   - LIBS= your correct opencv lib path, e.g. /usr/local/lib
+<3> make clean;
+<4> make;
+<5> copy the generated FindCorners.exe into the "autoCornerFinder" folder in your toolbox path, replacing the existing one.
+<6> test it by the "Extract grid corners" button in the toolbox, after "Load images". 
+
+NOTE THAT THE CODE WORKS ONLY WITH JPEG IMAGES.
+Note, if you want to display all the processing steps of the corner extraction, just change the flag VIS in cvcalibinit3.cpp to 1.
+Please observe that the exetutable is called withing the "click_ima_calib_rufli.m". in the toolbox path.
+
+If you use this code, please cite the following articles:
+
+1. Scaramuzza, D., Martinelli, A. and Siegwart, R. (2006), A Toolbox for Easily Calibrating Omnidirectional Cameras, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems  (IROS 2006), Beijing, China, October 2006.
+
+2. Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion", Proceedings of IEEE International Conference of Vision Systems  (ICVS'06), New York, January 5-7, 2006.
+
+3. Rufli, M., Scaramuzza, D., and Siegwart, R. (2008), Automatic Detection of Checkerboards on Blurred and Distorted Images, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice, France, September 2008.
+
+