Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

Arrow left icon
Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos FREE CHAPTER 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Detecting and recognizing objects from 3D meshes


After installing these packages, let's start the detection. What are the procedures involved? Here are the main steps:

  1. Building a CAD model of the object or capturing its 3D model

  2. Training the model

  3. Detecting the object using the trained model

The first step in the recognition process is building the 3D model of the desired object. We can do it using a CAD tool, or we can capture the real object using depth-sensing cameras. If the object is rigid, then the best procedure is CAD modelling, because it will have all the 3D information regarding the object. When we try to capture and build a 3D model, it may have errors and the mesh may not be look like the actual object because of the accumulation of errors in each stage. After building the object model, it will be uploaded to the object database. The next phase is the training of the uploaded object on the database. After training, we can start the detection process. The detection process will start...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image