176 resultados para Kinect simulink UDP C gesture UAV

em University of Queensland eSpace - Australia


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A major impediment to developing real-time computer vision systems has been the computational power and level of skill required to process video streams in real-time. This has meant that many researchers have either analysed video streams off-line or used expensive dedicated hardware acceleration techniques. Recent software and hardware developments have greatly eased the development burden of realtime image analysis leading to the development of portable systems using cheap PC hardware and software exploiting the Multimedia Extension (MMX) instruction set of the Intel Pentium chip. This paper describes the implementation of a computationally efficient computer vision system for recognizing hand gestures using efficient coding and MMX-acceleration to achieve real-time performance on low cost hardware.

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View along North-West elevation upper level.

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As seen from pool deck.

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Timber deck with built-in seat overlooking greater landscape beyond.

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View back towards house from deck. with Iwan (right) and filter room (left).

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Concrete framework for The Nest (North-West elevation), with timber framework yet to be added.

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Entry stair in foreground.

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As seen from The Nest above

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As seen from upper level of house.

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View to landcape beyond from lower level interior.

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View towards house from pool deck. Iwan on right and stone clad filter room on left.

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Concrete framework for The Nest (North-west elevation), with timber framing yet to be added.

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As seen from pool deck, looking towards The Nest. Kitchen skylight above right.

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View through timber battens from interior of Iwan.