We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
—The issue of transferring facial performance from one person’s face to another’s has been an area of interest for the movie industry and the computer graphics community for ...
Akshay Asthana, Miles de la Hunty, Abhinav Dhall, ...
We present an automatic disparity-based approach for 3D face modeling, from two frontal and one profile view stereo images, for 3D face recognition applications. Once the images a...
A-Nasser Ansari, Mohamed Abdel-Mottaleb, Mohammad ...