We propose a random-forest scheme, namely joint maximum purity forest (JMPF), for
classification, clustering, and regression tasks. In the JMPF scheme, the original feature …

This study focuses on the problem of human face pose estimation based on single image.
Traditional methods for 2D-3D feature based pose estimation problem require two inputs …

Random forest is a well-known machine-learning technique, which has been widely
employed in machine-learning and computer-vision applications, including classification …

This study centers around the problem of single image based human face pose estimation.
We transfer the problem into an optimization problem via six-point template, and solve the …