A motion refinement algorithm is proposed to enhance motion compensated noise reduction (MCNR) efficiency. Instead of the vector with minimum distortion, the vector with minimum distance from motion vectors of neighboring blocks is selected as the best motion vector among vectors which have distortion values within the range set by noise level. This motion refinement finds more accurate motion ...

In this paper, we analyze and modify the Motion-Split-andMerge (MSAM) algorithm [3] for the motion segmentation of correspondences between two frames. Our goal is to make the algorithm suitable for practical use which means realtime processing speed at very low error rates. We compare our (robust realtime) RMSAM with J-Linkage [16] and Graph-Based Segmentation [5] and show that it is superior t...

Internal organ motion during radiation therapy, if not considered appropriately in the planning process, has been shown to reduce target coverage and increase the dose to healthy tissues. Standard planning approaches, which use safety margins to handle intrafractional movement of the tumor, are typically designed based on the maximum amplitude of motion, and are often overly conservative. Compa...

In this paper, we propose a robust motion estimation algorithm using uncalibrated 3D motion model considering depth discontinuity. Most of the previous direct motion estimation algorithms with 3D motion model compute the depth value through the local smoothing, which result in erroneous results at depth discontinuity. In this paper, we overcome this problem at depth discontinuity by adding disc...

gravitational search algorithm (gsa) is one of the newest swarm based optimization algorithms, which has been inspired by the newtonian laws of gravity and motion. gsa has empirically shown to be an efficient and robust stochastic search algorithm. since introducing gsa a convergence analysis of this algorithm has not yet been developed. this paper introduces the first attempt to a formal conve...

Automatic myocardial wall motion tracking in ultrasound images is an important step in analysis of the heart function. Existing methods for Myocardial Wall Tracking are not robust to artifacts induced by signal dropout, significant appearance or gain control changes. We present a unified framework for tracking the myocardium wall motion in real time with uncertainty handling and robust informat...

This paper reports on a recent work we have conducted concerning the development and the implementation of a robust motion planner for a mobile robot in a polygonal environment and in presence of uncertainty in robot control and sensing. Such a planner takes explicitly into account the uncertainty in robot control and produces a robust motion plan composed of sensor-based motion commands. The m...

The averaging of multiple pairwise relative motions in a sequence provides a fast and accurate method of camera motion estimation with a wide range of applications, including view registration, robotic path estimation, superresolution. Since this approach involves averaging in the Lie-algebra of the underlying motion representation, it is non-robust and susceptible to contamination due to outli...