The invention discloses a living body face detection method based on WLD-TOP (Weber Local Descriptor-Three Orthogonal Planes). The method comprises the following steps: (1) training stage: reading a training set video, performing face region detection on each frame, converting the frames into a gray level facial image frame sequence to construct a three-dimensional image matrix, constructing a filtering template, calculating WLD features, generating a WLD-TOP feature vector, and inputting the feature vector into an SVM classifier for training to establish an SVM model; and (2) testing stage: for an image sequence under test, performing face detection on each frame, converting the frames into a gray level facial image sequence, constructing a three-dimensional image matrix and a filtering template, calculating WLD features, generating a WLD-TO feature vector, and feeding the WLD-TOP feature vector into a trained SVM model to obtain a living body face detection result. The Weber law is adopted on the basis of the LBP-TOP, so that the size relationships between neighborhood pixels and a center pixel are reflected, and the differences between the neighborhood pixels and the center pixel are quantified. Thus, the features of a descriptor are more complete.