首页|Pennsylvania State University (Penn State) Reports Findings in Machine Learning (Real-time machine learning-enhanced hyperspectropolarimetric imaging via an en coding metasurface)
Pennsylvania State University (Penn State) Reports Findings in Machine Learning (Real-time machine learning-enhanced hyperspectropolarimetric imaging via an en coding metasurface)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from University Park, Penns ylvania, by NewsRx correspondents, research stated, “Light fields carry a wealth of information, including intensity, spectrum, and polarization. However, stand ard cameras capture only the intensity, disregarding other valuable information. ” Our news journalists obtained a quote from the research from Pennsylvania State University (Penn State), “While hyperspectral and polarimetric imaging systems c apture spectral and polarization information, respectively, in addition to inten sity, they are often bulky, slow, and costly. Here, we have developed an encodin g metasurface paired with a neural network enabling a normal camera to acquire h yperspectro-polarimetric images from a single snapshot. Our experimental results demonstrate that this metasurface-enhanced camera can accurately resolve full-S tokes polarization across a broad spectral range (700 to 1150 nanometer) from a single snapshot, achieving a spectral sensitivity as high as 0.23 nanometer. In addition, our system captures full-Stokes hyperspectro-polarimetric video in rea l time at a rate of 28 frames per second, primarily limited by the camera’s read out rate.”
University ParkPennsylvaniaUnited St atesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learnin g
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