Face landmarking, defined as the detection and localization of certain characteristic points on the face, is an important intermediary step for many subsequent face processing …
This paper proposes a method for head pose estimation from a single image. Previous methods often predict head poses through landmark or depth estimation and would require …
We present an algorithm for simultaneous face detection, landmarks localization, pose estimation and gender recognition using deep convolutional neural networks (CNN). The …
V Kazemi, J Sullivan - … of the IEEE conference on computer …, 2014 - openaccess.thecvf.com
This paper addresses the problem of Face Alignment for a single image. We show how an ensemble of regression trees can be used to estimate the face's landmark positions directly …
Abstract In 2007, Labeled Faces in the Wild was released in an effort to spur research in face recognition, specifically for the problem of face verification with unconstrained images …
S Ren, X Cao, Y Wei, J Sun - … of the IEEE conference on computer …, 2014 - cv-foundation.org
This paper presents a highly efficient, very accurate regression approach for face alignment. Our approach has two novel components: a set of local binary features, and a locality …
We present a novel face alignment framework based on coarse-to-fine shape searching. Unlike the conventional cascaded regression approaches that start with an initial shape and …
Y Sun, X Wang, X Tang - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
We propose a new approach for estimation of the positions of facial keypoints with three- level carefully designed convolutional networks. At each level, the outputs of multiple …
Head pose estimation is an important way to understand human attention in the human- computer interaction. In this paper, we propose a novel anisotropic angle distribution …