سلام عرض ادب
دوستانی که Face کار کردند لطف کنند مفهوم این جمله رو بفرماییند
Faces are represented by a 3D manifold in the nine-dimensional output space.
Positions on the manifold indicate the pose (pitch, yaw, and roll). When the training image is a
face, the network is trained to produce a point on the manifold at the location of the known pose.
If the image is not a face, the output is pushed away from the manifold. At test time, the distance
to the manifold indicate whether the image contains a face, and the position of the closest point on
the manifold indicates pose.
و اینکه یکم بیشتر راجع به 3D-manifold توضیح دهند ؟
و تفاوت بین pose و position چی هست ؟