The (digital) transmission of talking faces requires a high bandwidth that not every target channel is able to provide, even if powerful image compression algorithms are used. Therefore, a special face coding algorithm would be highly desirable. Unfortunately, development of such an algorithm has been hindered by the general problem of image motion estimation. In this paper we present a video-b...

Introduction: Motion of the patient during myocardial perfusion SPECT could potentially results in false perfusion defects. The effect of different reconstruction methods on these artifacts is not studied. Clarification of the relation between the extent, severity and duration of motion with the resultant artifacts may be helpful in designing special soft wares for motion correction. This...

In the context ofreal-time collision /obstacle avoidance this paper investigates a direct -method of estimating dense scene structure and image motion. Our proposed method combines both stereo vision (invoIving geometric constraints) and optical flow (involving photometric constraints). It is applied to multiple motion images (i.e., images with vehicle ego-motion plus obstacle motion). Modijica...

This paper presents a layer-model based method to segment moving objects from image sequence with accurate boundaries. The segmentation framework involves three stages: Motion seed detection, Motion layer expansion and Motion boundary refinement. In the first stage, motion seeds, which determine the amount and initial position of motion layers, are detected by corner matching between consecutiv...

This paper addresses the issue of 3-D motion estimation in model-based facial image coding. A new approach to estimating the motion of the head and the facial expressions is presented and has the following characteristics: 1) An affine nonrigid motion model is set up. The specific knowledge about facial shape and facial expression is formulated by this model in the form of parameters. This affi...

Medical imaging has seen a rapid development in its clinical use in assessment of treatment outcome, disease monitoring and diagnosis over the last few decades. Yet, the vast amount of available image data limits the practical use of this potentially very valuable source of information for radiologists and physicians. Therefore, the design of computer-aided medical image analysis is of great im...

The purpose of this study is to investigate tracking of moving objects in a sequence of images by detecting the surface generated by motion boundaries in the space–time domain. Estimation of this spatio-temporal surface is formulated as a Bayesian image partitioning problem. Minimization of the resulting energy functional seeks a solution biased toward smooth closed surfaces which coincide with...

Accurate and robust estimation of the three-dimensional left ventricular geometry and deformation has important clinical implications for better diagnosis and understanding of ischemic heart diseases. So far, most image analysis efforts have performed the shape recovery and the motion tracking tasks in separate steps, typically in sequential fashion. In this paper, we present a continuum biomec...

This paper addresses the problem of modeling and correcting image blur caused by camera motion that follows a projective motion path. We introduce a new Projective Motion Blur Model that treats the blurred image as an integration of a clear scene under a sequence of projective transformations that describe the camera’s path. The benefits of this motion blur model is that it compactly represents...

Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify normal development, disease, and the effects of disease-modifying therapies. However, motion during image acquisition introduces image artifacts that, in turn, affect derived markers. A systematic effect can be problematic since factors of interest like age, disease, and treatment are often correlated wit...