A 72-year-old woman with decreased visual acuity secondary to an adult-onset vitelliform detachment was treated with three monthly intravitreal injections of 0.5 mg of ranibizumab. Treatment response was monitored by visual acuity and by the eye-tracking feature of the Heidelberg Spectralis spectral domain optical coherence tomography (Heidelberg Engineering, Inc., Carlsbad, CA). There was no i...

Performing interventional procedures in the close proximity to an MR scanner widens the range of operations available for an optical tracking system. In order to gain the full benefits from both unrestricted use of surgical instruments outside the magnet and intraoperative imaging, a method for transferring the registration data of the optical navigator between two locations is required. An opt...

We present two observation models based on optical flow information to track objects using particle filter algorithms. Although, in principle, the optical flow information enables us to know the displacement of the objects present in a scene, it cannot be used directly to displace a model since flow estimation techniques lack the necessary precision. We will define instead two observation model...

The research on the human reading technique and text perception strategies needs objective evaluation methods. Our proposal consists in the use of scan-path recording and eye track processing results as estimators of reading skills and capability of error compensation. Visual tasks, being principal investigation tool, were completed by arrangement of texts for presentation, eye trajectory acqui...

This work compares systematically two optical flow-based facial expression recognition methods. The first one is featural and selects a reduced set of highly discriminant facial points while the second one is holistic and uses much more points that are uniformly distributed on the central face region. Both approaches are referred as feature point tracking and holistic face dense flow tracking, ...

In this paper, we study discriminatively trained deep convolutional networks for the task of visual tracking. Our tracker utilizes both motion and appearance features extracted from a pre-trained dual stream deep convolution network. By using optical flow and deep networks to implement a dual appearance and motion stream to inform tracking, our tracker outperforms current state of the art track...

Human visual system actively seeks salient regions and movements in video sequences to reduce the search effort. Computational visual saliency detection model provides important information for semantic understanding in many real world applications. In this paper, we propose a novel perception-oriented video saliency detection model to detect the attended regions for both interesting objects an...

associated with partial occlusion and collision is ABSTRACT presented. Fourth. results from the testing arc prcscnted This paper describes an algorilhm and an architecture of a show of the proposcd approach. simulated human vision svstem usine connectionist Finallyv the work to date is summarised. models. An original approach to solve two major problems, occlusion and collision, is proposed for...