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    • 2. 发明公开
    • 다층 신경망을 이용한 시선 추적 시스템의 초점 측정 장치
    • 使用多层感知进行眼睛跟踪系统聚焦测量的装置
    • KR1020130088666A
    • 2013-08-08
    • KR1020120010049
    • 2012-01-31
    • 한국전자통신연구원동국대학교 산학협력단
    • 이희경이인재차지훈박강령누엉득톈조철우이현창이원오권수영
    • H04N5/232G06T1/40
    • G06T3/4046G06T2207/20064H04N5/23212H04N13/383
    • PURPOSE: A focus measurement apparatus of an eye tracking system using multilayer neural network is provided to assemble the capability of collecting high frequency elements in an image based on a spatial region and the capability of reducing the influence of brightness change of an image based on a wavelet region by using the multilayer neural network. CONSTITUTION: An image acquisition unit (1105) acquires an image of an eye by using a narrow angle camera. An input image generation unit (1110) generates an input image by down sampling of the image of the eye. A brightness compensation unit (1115) compensates brightness of the input image. A normalization unit (1125) normalizes four focus values measured in a focus measurement unit (1120) nonlinearly. A focus value addition unit (1130) adds up the normalized four focus values into one final focus value through multilayer neural network. A lens control unit (1135) controls a focus lens by using the final focus value. [Reference numerals] (1105) Image acquisition unit; (1110) Input image generator; (1115) Brightness compensation unit; (1120) Focus measurement; (1125) Normalization unit; (1130) Focus value addition unit; (1135) Lens controller
    • 目的:提供一种使用多层神经网络的眼睛跟踪系统的聚焦测量装置,用于组合基于空间区域的图像中收集高频元素的能力,以及降低基于图像的图像亮度变化的影响的能力 小波域通过使用多层神经网络。 构成:图像获取单元(1105)通过使用窄角摄像机来获取眼睛的图像。 输入图像生成单元(1110)通过对眼睛的图像进行下采样来生成输入图像。 亮度补偿单元(1115)补偿输入图像的亮度。 归一化单元(1125)非线性地归一化在聚焦测量单元(1120)中测量的四个焦点值。 焦点值加法单元(1130)通过多层神经网络将归一化的四个焦点值加到一个最终聚焦值中。 透镜控制单元(1135)通过使用最终聚焦值来控制聚焦透镜。 (附图标记)(1105)图像获取单元; (1110)输入图像发生器; (1115)亮度补偿单元; (1120)聚焦测量; (1125)归一化单位; (1130)对焦值加法单位; (1135)镜头控制器