Improve Brand Detection Quality

asked 2014-09-25 16:35:16 -0600

updated 2014-09-27 07:55:27 -0600

I am trying to detect brands in pictures but I'm having some problems.

I did the cascade training with 500 positives samples and 1440 negatives samples, but I'm getting a lot of bad results. The cascade classifier detects the brand and further a lot of things that isn't the brand.

EDIT:

I tried to use SURF features to eliminate these bad results and look that it isn't work:

image description

The same result occured with a image that is not my brand:

image description

Look the detections:

image description

My question is: How do I eliminate the bad results and just stay with the brand that I am looking for ? What I'm doing wrong ?

edit retag flag offensive close merge delete

Comments

Are you looking for a brand logo or something else? Can you explain a bit more, like how big is the object you are trying to recognize in absolute terms as well as in relation to other objects in the image.

unxnut ( 2014-09-25 17:55:29 -0600 )edit

add a comment

Comments

I followed your advice and I edited my question. My results is getting better with SURF than SIFT. It didn't solve the problem yet.

johncordeiro ( 2014-09-27 07:59:57 -0600 )edit

Implementing SURF also involves filtering the matches, i.e., finding good matches. Checkout this link, http://docs.opencv.org/doc/tutorials/features2d/feature_homography/feature_homography.html

sumitsrv ( 2014-09-29 09:36:42 -0600 )edit

I'm doing exactly in this way, and the results are these in question.

johncordeiro ( 2014-09-29 11:57:52 -0600 )edit

add a comment

Improve Brand Detection Quality

Comments

1 answer

Comments

Links

Question Tools

Stats

Related questions

Improve Brand Detection Quality edit

Comments

1 answer

Comments

Links

Question Tools

Stats

Related questions

Improve Brand Detection Quality