영상 이미지 행복 감성 트리를 이용한 분석 알고리즘
Video image analysis algorithms with happy emotion tree
Video images of emotional happiness or unhappiness, stress or emotional division of tranquility in the form of a tree is evaluated by weighting . Representative evaluation of the video image brightness contrast sensitivity ratings 1 car happy , unhappy or nervous , calm and refined with two car dependency, sensitivity to visual images are separated . Emotion Recognition of four compared to the numerical data is measured by brightness . OpenCV implementation through evaluation graph the stress intensity contrast , tranquility , happiness, unhappiness with changes in the value of four , separated by sensitivity to computing . Contrast sensitivity of computing the brightness according to the input value ' unhappy ' to ' happy ' or ' stress ' to ' calm ' the emotional changes are implemented. Emotion computing the regularity of the image to calculate the sensitivity localized computing system can be controlled according to the emotion of the contrast value of the brightness changes are implemented. The future direction of industry on the application of emotion recognition will play a positive role .
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