Abstract—In this paper, a novel framework for visual tracking of human body parts is introduced. The approach presented demonstrates the feasibility of recovering human poses with data from a single uncalibrated camera by using a limb-tracking syste
This paper presents a novel heuristic for constrained optimization of random computer simula tion models in which one of the simulation outputs is selected as the objective to be minimized while the other outputs need to satisfy prespeciˉed target v
AN ALGORITHM FOR A SINGLY CONSTRAINED CLASS OF QUADRATIC PROGRAMS SUBJECT TO UPPER AND LOWER BOUNDS P. M. PARDALOS and N. KOVOOR Computer Science Department, The Pennsylvania State University, University Park, PA 16802, USA Abstract： This paper give
This paper studies gradient-based schemes for image denoising and deblurring problems based on the discretized total variation (TV) minimization model with constraints. We derive a fast algorithm for the constrained TV-based image deburring problem.
Recent theoretical results on low-rank matrix reconstruction have inspired significant interest in low-rank modeling of MRI images. Existing approaches have focused on higher-dimensional scenarios with data available from multiple channels, timepoin
