首页> 外国专利> User -independent Face Landmark Detection and Tracking Apparatus for Spatial Augmented Reality Interaction

User -independent Face Landmark Detection and Tracking Apparatus for Spatial Augmented Reality Interaction

机译:用于空间增强现实交互的独立于用户的面部地标检测和跟踪设备

摘要

The present invention relates to a model-independent face landmark recognition apparatus in a spatial augmented reality. According to another aspect of the present invention, there is provided an image processing apparatus including: an image acquiring unit acquiring a face image including a color image and a depth image; A local binary pattern is calculated in the color image, a local angular pattern is calculated in the depth image, and the facial feature of the face image combined with the local previous pattern and the local angular pattern is calculated by detecting the face region in the face image acquired by the image acquiring unit, A facial feature detector for calculating a facial feature; And forming a face topology tree, which is a face phase relation tree, by dividing the set of upper face landmarks into two sets of lower faces, learning with a plurality of test face images including all face landmarks matching the root node of the face topology tree Learning is performed so that each node of the potential regenerative forest has a partial landmark image including a partial landmark subset along the face topology tree and the face feature of the face image detected by the face feature detector is used as an input value And a landmark detection unit for calculating a result of the partial landmark by traversing the learned forest and accumulating the difference of the position value stored in the division node and the leaf node in the spatial augmented reality, Is provided.
机译:本发明涉及在空间增强现实中与模型无关的面部界标识别设备。根据本发明的另一方面,提供了一种图像处理设备,包括:图像获取单元,获取包括彩色图像和深度图像的面部图像;以及通过在彩色图像中计算局部二进制图案,在深度图像中计算局部角度图案,并通过检测图像中的面部区域来计算与局部先前图案和局部角度图案组合的面部图像的面部特征。图像获取单元获取的面部图像,用于计算面部特征的面部特征检测器;并通过将一组上面部界标划分为两组下面部,并通过多个测试面部图像进行学习,形成包括面部相位关系树的面部拓扑树,其中该测试面部图像包括与该面部拓扑的根节点匹配的所有面部界标进行树学习,使得潜在的再生林的每个节点都具有部分地标图像,该部分地标图像包括沿着面部拓扑树的部分地标子集,并且将由面部特征检测器检测到的面部图像的面部特征用作输入值,并且提供一种地标检测单元,用于通过遍历学习的森林并累积空间增强现实中存储在分割节点和叶节点中的位置值的差来计算部分地标的结果。

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