Making Things See

3D Vision with Kinect, Processing, Arduino, and Makerbot

By: Greg Borenstein

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21 February 2012

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No. of Pages
350

Dimensions(cm)
26 x 20 x 2.5

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This detailed, hands-on guide provides the technical and conceptual information you need to build cool applications with Microsoft's Kinect, the amazing motion-sensing device that enables computers to see. Through half a dozen meaty projects, you'll learn how to create gestural interfaces for software, use motion capture for easy 3D character animation, 3D scanning for custom fabrication, and many other applications.

Perfect for hobbyists, makers, artists, and gamers, Making Things See shows you how to build every project with inexpensive off-the-shelf components, including the open source Processing programming language and the Arduino microcontroller. You'll learn basic skills that will enable you to pursue your own creative applications with Kinect.

Create Kinect applications on Mac OS X, Windows, or Linux
Track people with pose detection and skeletonization, and use blob tracking to detect objects
Analyze and manipulate point clouds
Make models for design and fabrication, using 3D scanning technology
Use MakerBot, RepRap, or Shapeways to print 3D objects
Delve into motion tracking for animation and games
Build a simple robot arm that can imitate your arm movements
Discover how skilled artists have used Kinect to build fascinating projects

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Non-Fiction Computing & I.T.O'Reilly Digital Lifestyle & Online World: Consumer & User Guides Computer Games & Online Games Strategy Guides Computer Science Artificial Intelligence Computer Vision Computer Programming & Software Development Microsoft Programming Booktopia Publisher Services John Wiley & Sons Publishers UK

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Preface	p. vii
What Is the Kinect?	p. 1
How Does It Work? Where Did It Come From?	p. 1
Kinect Artists	p. 10
Working with the Depth Image	p. 43
Images and Pixels	p. 44
Project 1: Installing the SimpleOpenNI Processing Library	p. 45
Project 2: Your First Kinect Program	p. 53
Project 3: Looking at a Pixel	p. 61
Converting to Real-Wdrld Distances	p. 67
Project 4: A Wireless Tape Measure	p. 69
Project 5: Tracking the Nearest Object	p. 76
Projects	p. 84
Project 6: Invisible Pencil	p. 86
Project 7: Minority Report Photos	p. 96
Exercises	p. 107
Working with Point Clouds	p. 109
What You'll Learn in This Chapter	p. 110
Welcome to the Third Dimension	p. 111
Drawing Our First Point Cloud	p. 113
Making the Point Cloud Move	p. 119
Viewing the Point Cloud in Color	p. 126
Making the Point Cloud Interactive	p. 129
Projects	p. 139
Project 8: Air Drum Kit	p. 139
Project 9: Virtual Kinect	p. 157
Conclusion	p. 182
Working with the Skeleton Data	p. 185
A Note About Calibration	p. 192
Stages in the Calibration Process	p. 193
User Detection	p. 194
Accessing Joint Positions	p. 202
Skeleton Anatomy Lesson	p. 209
Measuring the Distance Between Two Joints	p. 219
Transferring Orientation in 3D	p. 228
Background Removal, User Pixels, and the Scene Map	p. 246
Tracking Without Calibration: Hand Tracking and Center of Mass	p. 254
Projects	p. 263
Project 10: Exercise Measurement	p. 265
Project 11: "Stay-in' Alive": Dance Move Triggers MP3	p. 279
Conclusion	p. 299
Scanning for Fabrication	p. 301
Intro to Modelbuilder	p. 306
Intro to MeshLab	p. 313
Making a Mesh from the Kinect Data	p. 316
Looking at Our First Scan	p. 322
Cleaning Up the Mesh	p. 324
Looking at Our Corrected Model	p. 331
Prepping for Printing	p. 333
Reduce Polygons in MeshLab	p. 333
Printing Our Model on a MakerBot	p. 336
Sending Our Model to Shapeways	p. 340
Conclusion: Comparing Prints	p. 342
Using the Kinect for Robotics	p. 345
Forward Kinematics	p. 347
Inverse Kinematics	p. 367
Conclusion	p. 378
Conclusion: What's Next?	p. 379
Beyond Processing: Other Frameworks and Languages	p. 380
Topics in 3D Programming to Explore	p. 384
Ideas for Projects	p. 388
Appendix	p. 393
Index	p. 411
Table of Contents provided by Ingram. All Rights Reserved.