In computer vision, occlusions are almost always seen as undesirable singularities that pose difficult challenges to image motion analysis problems, such as optic flow computation, motion segmentation, disparity estimation, or egomotion estimation. However, it is well known that occlusions are extremely powerful cues for depth or motion perception, and could be used to improve those methods. In...

We compared myocardial infarct size produced by permanent occlusion of the middle left anterior descending (LAD) or circumflex (LCx) coronary artery in the anesthetized dog. The dogs were killed 3-10 days later, and the occluded coronary bed was visualized by postmortem arteriography. The outlines of the infarct and occluded bed were marked on tracings of weighed left ventricular (LV) rings and...

We describe a new framework, based on boosting algorithms and cascade structures, to efficiently detect faces with occlusions. While our approach is motivated by the work of Viola and Jones, several techniques have been developed for establishing a more general system, including (i) a robust boosting scheme, to select useful weak learners and to avoid overfitting; (ii) reinforcement training, t...

The instantaneous identification of independently moving objects in a video is particularly difficult if the camera itself is moving, since the motion field on the image is created by the combined effect of camera motion (egomotion), structure (depth), and the independent motion of scene entities. For a camera with a restricted field of view undergoing a small motion between frames, there exist...

The hallmark of clinical presentation in the retinal occlusive disease is painless loss of vision, which can be asymptomatic, gradual with only mildly reduced visual acuity, or sudden and reduced to counting fingers depending on the extent of the irrigation area of the affected vessel. The clinical presentation aids in distinguishing the type of the occlusion, which may be classified according ...