ines.martins's profile - activity

overview network karma followed questions activity

2015-11-10 09:11:33 -0600	commented question	Image search in database but bad of words is not for image classification? =x I am very confused!
2015-11-06 08:30:42 -0600	commented question	Image search in database Bag of features or bag of words?
2015-11-06 07:01:31 -0600	commented question	Create features index (image database) and search (Python) Have you succeed?? I have a similar problem :/ @user21
2015-11-06 06:56:55 -0600	received badge	● Supporter (source)
2015-11-04 08:56:21 -0600	commented answer	How to match 2 HOG for object detection? in your last paragraph @sammy you said "Unlike the texture descriptor, here you can easily set and understand output parameters - you can accept a match between two pics if a number of keypoints are matched and a homography can be determined between them." how can I choose that value? if a number of keypoints are matched? we need at list how many keypoints paired\|/matched to assume a between two images there is the same object? please explain.
2015-11-04 08:18:56 -0600	commented question	How to verify if two images have the same object/content? @Eduardo I have already done some of those tutorials (very good indeed) and I am in some advanced stage now. I am just confused at how to tell or set a threshold that above for example 100 kp_pairs/matches is a high probability of be the same game between pics
2015-11-04 04:50:50 -0600	received badge	● Editor (source)
2015-11-04 03:55:13 -0600	asked a question	How to verify if two images have the same object/content? Hello all. I am truly new to computer vision field, but it is fascinating me! I have now a challenge in my hands and I am seeking for mentors/advisers to give me some follow up. My project is: From a picture of a video-game cover, search that pic through a video-game cover database, and if there is a very good match the app will return a string with the name of the videogame and the platform. Problem example: 1 -Take a photo of a cover similar to this: http://i.imgur.com/gpZMbRm.jpg 2 - Cover match to this in the database: http://i.imgur.com/WXhPwf8.png 3 - App gives string: "Fifa 12 Playstation 2" In my preliminary research I found that I should save in my cover database, the name of the game, the platform, the URL for the cover, and the image features (keypoints and descriptors). I am using SURF features detector/extractor. My first trials output is something like this: http://i.imgur.com/Rj9lcBr.png . There are some concepts that I am still confused about... I am not looking for similarity right? I just need to observe if there are some sort of good keypoints-paired/matched, right? Because in the examples images mentioned before I get "img1 - 1087 features (query image), img2 - 1755 features - 30 % - SIMILARITY - 321/333 inliers/matched" What are the inliers? My calculation of similarity seems wrong to me... I would say that these two images are like 70 % look alike... ps: I am using Python so... Thanks for your time and help. Sorry If I could not explain any better my problems/concerns.