Kinect Open Source Programming Secrets
Hacking the Kinect with OpenNI, NITE, and Java
Sorozatcím: ELECTRONICS;
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12 416 Ft (11 825 Ft + 5% áfa)
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Feliratkozom
12 416 Ft
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A termék adatai:
- Kiadó McGraw Hill TAB
- Megjelenés dátuma 2012. június 16.
- ISBN 9780071783170
- Kötéstípus Puhakötés
- Terjedelem336 oldal
- Méret 231x185x15 mm
- Súly 580 g
- Nyelv angol 0
Kategóriák
Rövid leírás:
Program Kinect to do awesome things using a unique selection of open source software!
TöbbHosszú leírás:
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Program Kinect to do awesome things using a unique selection of open source software!
The Kinect motion-sensing device for the Xbox 360 and Windows became the world's fastest-selling consumer electronics device when it was released (8 million sold in its first 60 days) and won prestigious awards, such as "Gaming Gadget of the Year." Now Kinect Open Source Programming Secrets lets YOU harness the Kinect's powerful sensing capabilities for gaming, science, multimedia projects, and a mind-boggling array of other applications on platforms running Windows, Mac OS, and Linux.
Dr. Andrew Davison, a user interface programming expert, delivers exclusive coverage of how to program the Kinect sensor with the Java wrappers for OpenNI and NITE, which are APIs created by PrimeSense, the primary developers of the Kinect's technology.
Beginning with the basics--depth imaging, 3D point clouds, skeletal tracking, and hand gestures--the book examines many other topics, including Kinect gaming, FAAST-style gestures that aren't part of standard NITE, motion detection using OpenCV, how to create gesture-driven GUIs, accessing the Kinect's motor and accelerometer, and other tips and techniques.
Inside:
- Free open source APIs to let you develop amazing Kinect hacks for commercial or private use
- Full coverage of depth detection, camera, and infrared imaging point clouds; Kinect gaming; 3D programming; gesture-based GUIs, and more
- Online access to detailed code examples on the author's web site, plus bonus chapters on speech recognition, beamforming, and other exotica
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Program Kinect to do awesome things using a unique selection of open source software!
The Kinect motion-sensing device for the Xbox 360 and Windows became the world's fastest-selling consumer electronics device when it was released (8 million sold in its first 60 days) and won prestigious awards, such as "Gaming Gadget of the Year." Now Kinect Open Source Programming Secrets lets YOU harness the Kinect's powerful sensing capabilities for gaming, science, multimedia projects, and a mind-boggling array of other applications on platforms running Windows, Mac OS, and Linux.
Dr. Andrew Davison, a user interface programming expert, delivers exclusive coverage of how to program the Kinect sensor with the Java wrappers for OpenNI and NITE, which are APIs created by PrimeSense, the primary developers of the Kinect's technology.
Beginning with the basics--depth imaging, 3D point clouds, skeletal tracking, and hand gestures--the book examines many other topics, including Kinect gaming, FAAST-style gestures that aren't part of standard NITE, motion detection using OpenCV, how to create gesture-driven GUIs, accessing the Kinect's motor and accelerometer, and other tips and techniques.
Inside:
- Free open source APIs to let you develop amazing Kinect hacks for commercial or private use
- Full coverage of depth detection, camera, and infrared imaging point clouds; Kinect gaming; 3D programming; gesture-based GUIs, and more
- Online access to detailed code examples on the author's web site, plus bonus chapters on speech recognition, beamforming, and other exotica
Tartalomjegyzék:
1. Getting Started
2. Kinect Imaging
3. A Point Cloud for Depths
4. Tracking Users in 2D
5. Viewing Users in 3D
6. The Tilt Motor, LED, and Accelerometer
7. NITE Hand Gestures
8. NITE HandsTracker
9. Kinect Breakout
10. Gesture GUIs
11. Kinect Capture
12. Motion Detection Using OpenCV
13. FAAST-Style Body Gestures
Index
