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Oriented energy filters are used to grant sight to intelligent machines and sensors. The light comes in and is filtered so that it can be properly computed and analyzed by the computer allowing it to “perceive” what it is measuring. These energy measurements are then calculated to take a real time measurement of the oriented space time structure. 〔Norouznezhad, E. ICARCV 2010 the 11th International Conference on Control, Automation, Robotics and Vision : 7-10 December, 2010, Singapore. Piscataway, N.J.: IEEE, 2010. Print.〕 3D Gaussian filters are used to extract orientation measurements. They were chosen due to their ability to capture a broad spectrum and easy and efficient computations.〔Lee, Kyoung Mu. Computer Vision-- ACCV 2012 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers. Berlin: Springer, 2013. p536. Print. .〕 The use of these vision systems can then be used in smart room, human interface and surveillance applications. The computations used can tell more than the standalone frame that most perceived motion devices such as a television frame. The objects captured by these devices would tell the velocity and energy of a an object and its direction in relation to space and time. This also allows for better tracking ability and recognition.〔K. Cannons, A Review of Visual Tracking, York University Technical Report CSE-2008-07, September 16, 2008.〕 ==References== * * * * 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Oriented Energy Filters」の詳細全文を読む スポンサード リンク
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