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%red%''''NOTE: `RGBDemo is not actively maintained anymore.''''%%
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%red%'''NOTE: `RGBDemo is not actively maintained anymore.'''%%
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%red%''NOTE: `RGBDemo is not actively maintained anymore.''%%
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%red%''''NOTE: `RGBDemo is not actively maintained anymore.''''%%
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%red%''NOTE: `RGBDemo is not actively maintained anymore.''%%
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[[http://pmdtec.com|PMDTec]] was kind enough to let us play with a PMD Nano sensor, their most recent Time-of-Flight camera. While it still has some of the common limitations of ToF sensors, it is really tiny, supports very close ranges, and can reach framerates of up to 90 Hz. It is now supported in `RGBDemo, check the [[UsingPMDNano|tutorial]] if you want to give it a try!
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[[http://pmdtec.com|PMDTec]] was kind enough to let us play with a PMD Nano sensor, their most recent Time-of-Flight camera. While it still has some of the common limitations of ToF sensors, it is really tiny, supports very close ranges, and can reach framerates of up to 90 Hz. It is now supported in `RGBDemo, check the [[Documentation/UsingPMDNano|tutorial]] if you want to give it a try!
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!!! News: `RGBDemo 0.7.0 released!
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!!! News: PMD Nano support!
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[[http://pmdtec.com|PMDTec]] was kind enough to let us play with a PMD Nano sensor, their most recent Time-of-Flight camera. While it still has some of the common limitations of ToF sensors, it is really tiny, supports very close ranges, and can reach framerates of up to 90 Hz. It is now supported in `RGBDemo, check the [[UsingPMDNano|tutorial]] if you want to give it a try!
%height=240px% Attach:Documentation./viewer_pmd_nano.png
!!! News: `RGBDemo 0.7.0 released!
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%height=240px% Attach:Documentation./viewer_pmd_nano.png
!!! News: `RGBDemo 0.7.0 released!
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(:youtube Aoa_3l8uxIE:)
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(:youtube Aoa_3l8uxIE:)
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`RGBDemo aims at providing a simple toolkit to start playing with Kinect data and develop standalone computer vision programs without the hassle of integrating existing libraries. The project is divided in a library called @@nestk@@ and some demo programs using it. You can get more information on using the library in your programs on the [[Documentation/Nestk | Nestk page]].
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`RGBDemo is an opensource software that aims at providing a simple toolkit to start playing with Kinect data and develop standalone computer vision programs without the hassle of integrating existing libraries. The project is divided in a library called @@nestk@@ and some demo programs using it. You can get more information on using the library in your programs on the [[Documentation/Nestk | Nestk page]].
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* Add timestamps and camera serials when saving to disk
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* Demo of object model acquisition with markers
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* New demo to acquire object models: rgbd-scan-markers
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* New demo to acquire object models using markers
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!!! News: `RGBDemo 0.7 released!
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!!! News: `RGBDemo 0.7.0 released!
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!!! News: `RGBDemo 0.7 released!
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New features since v0.6.1:
* New demo to acquire object models: rgbd-scan-markers
* New demo to detect previously modeled objects
* Simple calibration mode for rgbd-multikinect
* Much faster grabbing in rgbd-multikinect
* Compatibility with PCL 1.4
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Current features
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`RGBDemo aims at providing a simple toolkit to start playing with Kinect data and develop standalone computer vision programs without the hassle of integrating existing libraries. The project is divided in a library called @@nestk@@ and some demo programs using it. You can get more information on using the library in your programs on the [[Documentation/Nestk | Nestk page]].
Current demos include:
Current demos include:
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New features since v0.6.0
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New features since v0.5.0
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* Grabbing and calibration of multiple Kinects
* Detection and modeling of objects lying on a table
* Better PCL integration
* Detection and modeling of objects lying on a table
* Better PCL integration
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!!! News: RGBDemo 0.6.1 released!
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!!! News: `RGBDemo 0.6.1 released!
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Current features include:
* Grab kinect images and visualize / replay them
* Calibrate the camera to get point clouds in metric space
* Extract skeleton data / hand point position
* Multiple Kinect support and calibration
* Demo of 3D scene reconstruction using a freehand Kinect
* Demo of people detection and localization
* Demo of 3D model estimation of objects lying on a table
!!! News: RGBDemo 0.6.1 released!
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New features since v0.6.0
* Various bug fixes
* Compatibility with `OpenCV 2.3.1
* Cleanup viewer interface
* Experimental infrared support with `OpenNI (still buggy)
* Camera/Projector calibration thanks to Mariano Tepper and Christian Parsons
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A local copy of PmWiki's
documentation has been installed along with the
and is available via
To continue setting up PmWiki, see [[PmWiki/initial setup tasks]].
The [[PmWiki/basic editing]] page describes how to create pages
in PmWiki. You can practice editing in the [[wiki sandbox]].
More information about PmWiki is available from http://www
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!! Demo software to visualize, calibrate and process Kinect cameras output
This software was partly developed in the [[http://roboticslab.uc3m.es | RoboticsLab]] and aims at providing a simple toolkit to start playing with Kinect data and develop standalone computer vision programs without the hassle of integrating existing libraries. The project is divided in a library called @@nestk@@ and some demo programs using it. The library itself is easy to integrate to an existing project using @@cmake@@: just copy the nestk folder as a subfolder of your project and you should be able to start working with Kinect data. You can get more information on the [[KinectUseNestk|nestk page]].
You can have a look at the new object detection demo on the following video:
(:youtube Aoa_3l8uxIE:)
This software was partly developed in the [[http://roboticslab.uc3m.es | RoboticsLab]] and aims at providing a simple toolkit to start playing with Kinect data and develop standalone computer vision programs without the hassle of integrating existing libraries. The project is divided in a library called @@nestk@@ and some demo programs using it. The library itself is easy to integrate to an existing project using @@cmake@@: just copy the nestk folder as a subfolder of your project and you should be able to start working with Kinect data. You can get more information on the [[KinectUseNestk|nestk page]].
You can have a look at the new object detection demo on the following video:
(:youtube Aoa_3l8uxIE:)