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1、Picture is an array of pixels,or numerical values that represent colorsWhat is Computer VisionbaskettreegirlmanwomantomatobaguetteboyIts the picture of a family picnicDigital equipment can capture images at resolutions and with detail that far surpasses the human vision systemComputer visionis the f
2、ieldofcomputersciencethatfocuses on replicating partsof the complexity of thehuman vision system andenablingcomputerstoidentify and process objectsin images and videos in thesame way that humans do.Why We Need Computer VisionWe need computers to“see”an image and understand the contentApplications of
3、 computer visionComputervisionisoneofthemaintechnologiesthatenablesthedigitalworld to interact with the physical world:Self-driving CarFace RecognitionAugmented and Mixed RealityOnline photo librariesDeep Learning in Computer Vision Classicmachinelearningapproachesinvolvinglotsofcomplicated steps an
4、d required the collaboration of dozens ofdomain experts,mathematicians and programmers Deep learning providing a fundamentally different approach todoing machine learning Creatingagooddeeplearningalgorithmcomesdowntogathering a large amount of labeled training data and tuning theparametersLimitation
5、 of Computer Vision Neural networks are statistical models that compare batches ofpixels,they need to see many examples before they can developthe necessary foundations to recognize every object Understanding the context of images and the relation betweenthe objects they see is very difficult for neural networks