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OpenNI Cookbook
最新章節：
Index
ThisisaCookbookwithplentyofpracticalrecipesenrichedwithexplainedcodeandrelevantscreenshotstoeaseyourlearningcurve.IfyouareabeginneroraprofessionalinNIUIandwanttowriteseriousapplicationsorgames,thenthisbookisforyou.EvenOpenNI1andOpenNI1.xprogrammerswhowanttomovetonewversionsofOpenNIcanusethisbookasastartingpoint.ThisbookusesC++astheprimarylanguagebuttherearesomeexamplesinC#andJavatoo,soyouneedtohaveaboutabasicworkingknowledgeofCorC++formostcases.
目錄(60章)
倒序
- 封面
- 版權信息
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- Chapter 1. Getting Started
- Introduction
- Downloading and installing OpenNI
- Downloading and installing NiTE
- Downloading and installing the Microsoft Kinect SDK
- Connecting Asus Xtion and PrimeSense sensors
- Connecting Microsoft Kinect
- Chapter 2. OpenNI and C++
- Introduction
- Creating a project in Visual Studio 2010
- OpenNI class and error handling
- Enumerating a list of connected devices
- Accessing video streams (depth/IR/RGB) and configuring them
- Retrieving a list of supported video modes for depth stream
- Selecting a specific device for accessing depth stream
- Listening to the device connect and disconnect events
- Opening an already recorded file (ONI file) instead of a device
- Chapter 3. Using Low-level Data
- Introduction
- Configuring Visual Studio 2010 to use OpenGL
- Initializing and preparing OpenGL
- Reading and showing a frame from the image sensor (color/IR)
- Reading and showing a frame from the depth sensor
- Controlling the player when opening a device from file
- Recording streams to file (ONI file)
- Event-based reading of data
- Chapter 4. More about Low-level Outputs
- Introduction
- Cropping and mirroring frames right from the buffer
- Syncing image and depth sensors to read new frames from both streams at the same time
- Overlaying the depth frame over the image frame
- Converting the depth unit to millimetre
- Retrieving the color of the nearest point without depth over color registration
- Enabling/disabling auto exposure and auto white balance
- Chapter 5. NiTE and User Tracking
- Introduction
- Getting a list of all the active users
- Identifying and coloring users' pixels in depth map
- Reading users' bounding boxes and center of mass
- Event-based reading of users' data
- Chapter 6. NiTE and Hand Tracking
- Introduction
- Recognizing predefined hand gestures
- Tracking hands
- Finding the related user ID for each hand ID
- Event-based reading of hands' data
- Working sample for controlling the mouse by hand
- Chapter 7. NiTE and Skeleton Tracking
- Introduction
- Detecting a user's pose
- Getting a user's skeleton joints and displaying their position in the depth map
- Designing a simple pong game using skeleton tracking
- Index 更新時間：2021-08-13 16:30:28
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