Showing 6 open source projects for "open office objects"

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  • 1
    reacTIVision
    reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.
    Downloads: 26 This Week
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  • 2
    GPUImage

    GPUImage

    iOS framework for GPU-based image and video processing

    The GPUImage framework is a BSD-licensed iOS library that lets you apply GPU-accelerated filters and other effects to images, live camera video, and movies. In comparison to Core Image (part of iOS 5.0), GPUImage allows you to write your own custom filters, supports deployment to iOS 4.0, and has a slightly simpler interface. However, it currently lacks some of the more advanced features of Core Image, such as facial detection. GPUImage uses OpenGL ES 2.0 shaders to perform image and video...
    Downloads: 0 This Week
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  • 3
    KinectA

    KinectA

    Software for motion tracking (skeletons, objects, hands) via Kinect!

    KinectA is an application for motion tracking via Kinect Sensor – including hand, skeleton and object tracking. This software has been developed for the needs of media artists and designers. It provides a clearly arranged interface with multiple functionalities. The tracked information can be send via OSC to other hard- and software. KinectA is available for Mac and Windows.
    Downloads: 0 This Week
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  • 4

    LiveVideo

    Real-time Video Analysis Software

    This is an open-source real-time object detection and tracking software for H.264/AVC videos. It applies probabilistic spatiotemporal macroblock filtering (PSMF) and partial decoding processes to effectively detect and track multiple objects with fast computation in H.264|AVC bitstreams with stationary background. The codes were written in Visual C++.
    Downloads: 0 This Week
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  • 5
    Fully automated segmentation of moving objects from a stationary scene using pre-stored scene images. Needs no external parameters or settings; all parameters are derived internally from the pre-stored images. Implemented using OpenCV framework.
    Downloads: 0 This Week
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  • 6
    This is the award-winning FALCON I object recognition system! Capable of tracking up to 12 different objects simultaneously, and with over 6 times the raw resolution of the CMUCam, this is one of the most powerful vision systems in its class.
    Downloads: 0 This Week
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