Rectification and Other Details

Complement:


   This weekend I was trying to complement my code by implementing the rectification and mixing up the data from two data sets.


1.Rectification


   I think it would be nice if I can make the deformed pictures regular. Below is the pictures before and after getting rectified.

paper

denim

2.Data combination

Since there are same kinds of material, paper and denim, in both two datasets,  I feel obliged to do the recognition between these two datasets. I made those two pictures in the second dataset took place of the original testing data, and got the results as below.

Original result.

Current result (adding an error of wrong recognition of material 1 and 2 ),and the replaced material are material 2(paper) 9(denim) 10(wood). This means picture of material 10 (wood) in the two datasets can be recognized to each other.

 The pictures in the two datasets are taken in different exposures,  so this might be one of the reasons why the result has one more error than the original one. And also, the material is slightly different because the objects chosen to represent the material in the two datasets are different. That is to say, although they are all denim or paper or wood, they might be different kinds of denim or paper or wood.

So it will be better if I choose the same exposure and take more pictures of the same object, and do the recognition. This might be done in future work.