首页> 外国专利> Pose estimation is based on the critical point analysis

Pose estimation is based on the critical point analysis

机译:姿势估计基于临界点分析

摘要

Topic Method and the system of pause presuming object ones are offered.Solutions Any object things the human body and the animal, are good even with the robot. The depth information regarding object ones 310 with camera 110 is received, in pause presumption module 120 the pause of object ones and conduct is decided from the picture, the response for the pause and the conduct which are perceived in interaction module 130 is output. Due to pause presumption module 120, it divides the picture which includes object ones, makes the taxonomic part and the not yet taxonomic part. Segmentation making use of k-means cluster method is good. It is possible to pursue between the pictures the taxonomic part, as a known object of the head and the body section etc. Paralleling to x axis and the Y-axis, it scans the not yet taxonomic part, minimum value and maximum value specifies. The critical point is led from maximum value and minimum value 320. Tying the various critical points, although the latent joint it specifies, is suitable to the actual object of object ones the joint which possesses sufficient probability is selected, skeletal structure is formed on the basis of the pause of object ones of the decision being completed. Selective figure Figure 3
机译:<主题>提供了一种暂停假定物体的方法和系统。解决方案即使使用机器人,任何物体,如人体和动物,都可以使用。接收关于具有照相机110的物体310的深度信息,在暂停推测模块120中,物体的暂停和行为由图片决定,输出在交互模块130中感知到的对暂停和行为的响应。由于暂停推定模块120,它划分包括对象图像的图片,成为分类部分和尚未分类的部分。利用k均值聚类方法进行分割是好的。可以在图片之间追踪分类部分,作为头部和身体部位的已知对象。平行于x轴和Y轴,它扫描尚未分类的部分,最小值和最大值指定。临界点由最大值和最小值320引导。绑定各个临界点,尽管它指定了潜在的关节,但它适合对象的实际对象,选择了具有足够概率的关节,在骨骼上形成骨骼结构<可选图>图3

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号