In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
In this paper, we explore a privacy algorithm that detects human private parts in a 3D scan data set. The analogia graph is introduced to study the proportion of structures. The i...
This paper describes a novel system for 3D head tracking under partial occlusion from 2D monocular image sequences. In this system, The Extended Superquadric (ESQ) is used to gene...
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...