Parsing Clothes in Unrestricted Images

场景

we propose a method to segment clothes in settings where there is no restriction on number and type of clothes, pose of the person, viewing angle, occlusion and number of people.

总之一句话:

to segment clothes in unconstrained settings

方法

  • 用poselet得到姿态估计。多种人体概率,个数不限。
  • 超像素分割
  • 使用CRF建模
    相邻的超像素有边连接。目标函数如下:
    Imgur
    对图的假设:

    at most two vertices in the graph form a clique thus limiting the order of a potential to two
    Imgur

    • 点势能:色彩直方图RGB,色彩直方图LAB,Gabor,坐标分布直方图,对关节点的坐标直方图分布。 跟姿态box没交集的超像素,距离被设置为无穷。
    • 边势能:与yam12论文一样

CRFparsing