This paper compares the ability of human observers to detect target image curves with that of an ideal observer. The target curves are sampled from a generative model which speciļ...
Alan L. Yuille, Fang Fang, Paul R. Schrater, Danie...
In this paper, we present a robust face alignment system that is capable of dealing with exaggerating expressions, large occlusions, and a wide variety of image noises. The robustn...
We propose in this paper a face authentication method based on a similarity measure. The SIFT descriptor is used to define some interest keypoints characterized by an invariant pa...
This paper presents a Bayesian framework for 3D facial reconstruction. The framework iteratively deforms a generic face mesh to ļ¬t a set of range points representing a face. The...
Abstractā This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning...