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Haarcascade or HOG for lego identification ?

asked 2016-02-04 08:47:52 -0500

Hi everyone,

I would like to devellop a system to identify lego blocks, the aim is to verify if a lego set (a set of different lego blocks) is full using a single image for identification.

The system must be able to identify a block from different views.

Do you think the Haarcascad method or the Latent SVM method could be used for this problem ? (it seems that Haarcascade must be already excluded, because it's not Rotation invariant).

Thank you for your answers and have a good day !


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Since you know exactly what to expect, I would not look at functions that generalise over appearence like DPM, SVM, Cascade Classifiers, ... instead look at bag of visual words, keypoint matching, ... which are far more robust to viewpoint changes!

StevenPuttemans gravatar imageStevenPuttemans ( 2016-02-04 09:01:50 -0500 )edit

As to excluding haarcascade because it is not rotation invariant, that is bogus. There are possibilities to combine different views in different classifiers and then model them as a forest of cascade classifiers.

StevenPuttemans gravatar imageStevenPuttemans ( 2016-02-04 09:02:48 -0500 )edit

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answered 2016-04-23 07:09:36 -0500

senjuny gravatar image

I am developer in Korean. I have been study a year Lego recognition. My prototype can detect all of lego parts . You can see video --> this is recent . Fast recognition in three seconds

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-1 :unless you provide a paper and/or code, a video is totally useless for any user in this forum. And IMHO, I wouldn't trust someone who captures a video of a computer screen using an upright smartphone instead of using a screen recorder...

LorenaGdL gravatar imageLorenaGdL ( 2016-04-23 11:40:52 -0500 )edit

shif,brif can not recognition lego. Lego bricks are different shpe by viewpoint. Lego have 28000 kinds of brick.

A brick have outline,color,circle,recttangle so on... I found lego brick have special keypoint. Store keypoint in DB. You should research each lego brick have different color, length , shape. sorry poor in english. :)

senjuny gravatar imagesenjuny ( 2016-04-24 08:06:05 -0500 )edit
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Asked: 2016-02-04 08:47:52 -0500

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Last updated: Apr 23 '16