This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within a non-linear Point Distribution Model. This statistical model allows a direct mapping to be achieved between the external boundary of a human and the anatomical position. It is… (More)
This paper presents a surface segmentation method which uses a simulated inflating balloon model to segment surface structure from volumetric data using a triangular mesh. The model employs simulated surface tension and an inflationary force to grow from within an object and find its boundary. Mechanisms are described which allow both evenly spaced and… (More)
We describe the data mining problems and solutions that we have encountered in the Center for Automated Learning and Discovery (CALD) at CMU. Speciically, we describe these settings and their operational characteristics, describe our proposed solutions, list the performance results, and nally outline future research directions.