October 2016
Intermediate to advanced
558 pages
12h 39m
English
Content preview from OpenCV: Computer Vision Projects with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 2. Hand Gesture Recognition Using a Kinect Depth Sensor
The goal of this chapter is to develop an app that detects and tracks simple hand gestures in real time using the output of a depth sensor, such as that of a Microsoft Kinect 3D sensor or an Asus Xtion. The app will analyze each captured frame to perform the following tasks:
- Hand region segmentation: The user's hand region will be extracted in each frame by analyzing the depth map output of the Kinect sensor, which is done by thresholding, applying some morphological operations, and finding connected components
- Hand shape analysis: The shape of the segmented hand region will be analyzed by determining contours, convex hull, and convexity defects
- Hand gesture recognition: The number
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.