![]() ![]() Multiple kinect support and calibration.Extracts skeleton data/hand point position(Nite backend).It supports for libfreenect and openNI/Nite backends.It grabs Kinect images and visualize/replay them.RGB Demo It has many features which corresponds to this project. Robot/turtlebot as the turtlebot/mobile robot should detect people, localise and should do dense 3d reconstruction on the fly, which is possible in live tracking. Software is not suitable for this project to work with mobile In this case image-based reconstruction is an example and the output is a 3D model. Typically, the sensor is an image sensor in a camera sensitive to visible light and the input to the method is a set of digital images (one, two or more) or video. P assive methods of 3D reconstruction do not interfere with the reconstructed object, they only use a sensor to measure the radiance reflected or emitted by the object's surface to infer its 3D structure. Moving light sources, colored visible light, time-of-flight lasers to microwaves or ultrasound. The object and then measure its reflected part. More applicable radiometric methods emit radiance towards Would use a depth gauge to measure a distance to a rotating object put Mechanically or radiometrically A simple example of a mechanical method Methods actively interfere with the reconstructed object, either This process can be accomplished either by active or passive methods. In computer vision and computer graphics, 3D reconstruction is the process of capturing the shape and appearance of real objects. 2.3.9 Gesture Recognition/Object Detection.2.3.8 Note: Download/Install all the dependencies, packages and libraries from Ubuntu repository for OpenCV and PCL to avoid too many problems.2.3.6 Installation of Opencv2.3.1 on Ubuntu.2.3.5 Installation of Open-NI, Nite, Sensor Driver and Avin2Sensor.2.3.2 To use the kinect as the non-root user, do the following:.2.3.1 Getting started with OpenKinect (Libfreenect). ![]() 2.3 Demonstration of RGB Demo0.7 on UBuntu12.04. ![]()
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