An efficient approach for face detection and facial feature location using Prune-and-Search technique
This paper proposes an efficient approach for human face detection and exact facial features location in a head- and-shoulder image. This method searches for the eye pair candidate as a base line by using the characteristic of the high intensity contrast between the iris and the sclera. To discover other facial features, the algorithm uses geometric knowledge of the human face based on the obtained eye pair candidate. The human face is finally verified with these unclosed facial features. Due to the merits of applying the Prune-and- Search and simple filtering techniques, we have shown that the proposed method indeed achieves very promising performance of face detection and facial feature location.
prune-and-search eye pair candidate filtering global search local search eye candidate region