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Computer Vision for the Web

You're reading from  Computer Vision for the Web

Product type Book
Published in Oct 2015
Publisher Packt
ISBN-13 9781785886171
Pages 116 pages
Edition 1st Edition
Languages
Author (1):
Foat Akhmadeev Foat Akhmadeev
Profile icon Foat Akhmadeev

Descriptors and object matching


Image features by themselves are a bit useless. Yes, we have found unique points on an image. But what did we get? Only pixels values and that's it. If we try to compare those values it will not give us much information. Moreover, if we change the overall image brightness, we will not find the same keypoints on the same image! Taking into account all of this, we need the information which surrounds our key points. Moreover, we need a method to efficiently compare this information. First, we need to describe the image features, which comes from image descriptors. In this part, we will see how those descriptors can be extracted and matched. The tracking.js and JSFeat libraries provide different methods for image descriptors. We will discuss both.

The BRIEF and ORB descriptors

The descriptors theory is focused on changes in an image pixels' intensities. The tracking.js library provides the Binary Robust Independent Elementary Features (BRIEF) descriptors and the...

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