This article introduces a new image processing technique for rapid analysis of tagged cardiac magnetic resonance image sequences. The method uses isolated spectral peaks in SPAMM-tagged magnetic resonance images, which contain information about cardiac motion. The inverse Fourier transform of a spectral peak is a complex image whose calculated angle is called a harmonic phase (HARP) image. It i...

The perception of biological motion combines the analysis of form and motion. However, patient observations by Vaina et al. and psychophysical experiments by Beintema and Lappe showed that humans could perceive human movements (a walker) without local image motion information. Here, we examine the specificity of brain regions responsive to a biological motion stimulus without local image motion...

We propose a new paradigm, motion without structure , for determining the ego-motion between two frames. It is best suited for cases where reliable feature point correspondence is diicult, or for cases where the expected camera motion is large. The problem is posed as a ve-dimensional search over the space of possible motions during which the structural information present in the two views is n...

Motion smear is an important visual cue for motion perception by the human vision system (HVS). However, in image analysis research, exploiting motion smear has been largely ignored. Rather, motion smear is usually considered as a degradation of images that needs to be removed. In this paper, we establish a computational model that estimates image motion from motion smear information--"motion f...

Identical local image motion signals can arise from countless object motions in the world. In order to resolve this ambiguity, the visual system must somehow integrate motion signals arising from different locations along an object's contour. Difficulties arise, however, because image contours can derive from multiple objects and from occlusion. Thus, correctly integrating respective objects' m...

We present a single-image algorithm for reconstructing the 3D velocity, the 3D spin axis, and the angular speed of a moving ball. Peculiarity of the proposed algorithm is that this reconstruction is achieved by accurately analyzing the blur produced by the ball motion during the exposure. We combine image analysis techniques in order to obtain 3D estimates, that are then integrated into a geome...

The research on machine vision focuses on problems in texture analysis, color and face image analysis, document image analysis, tracking and motion estimation, 3D modeling and camera calibration, and visualization-based user interfacing. The research on intelligent systems concentrates on context-aware mobile systems, intelligent service robots, neural network methodology for signal analysis, a...

The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as linear combinations of steerable basis flow fields. These models constrain the interpretation of image motion, and are used in the same way as translational or affine motion models. We estimate the subspace coefficients of...

INTRODUCTION The analysis of abdominal and thoracic dynamic contrast-enhanced MRI is often impaired by motion-induced artifacts and misregistration, caused by physiological motion. Breath-holding is too short to cover these long acquisitions and suffers from imperfections. A previously published reconstruction algorithm, GRICS [1], corrects for motion-induced artifacts in a single image reconst...

The most important problem in the analysis of time sequences is the compensation for artifactual motion. Owing to motion, medical images of the abdominal region do not represent organs with fixed configuration. Analysis of organ function with dynamic contrast medium studies using regions of interest (ROIs) is thus not readily accomplished. Images of the organ of interest need to be registered a...