Clinical Low Vision

Learning Low-level Vision Learning Low-level Vision

We show a learning-based method for low-level vision problems{estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images. We model that world with a Markov network, learning the network parameters from the examples. Bayesian belief propagation allows us to e ciently nd a local maximum of the posterior probability for the scene, given the image...

Bug Vision : Experiments in Low Resolution Vision

Tracking multiple people using cameras is similar to the well-studied problem of tracking multiple radar or sonar echoes. This thesis shows that current camera-based tracking algorithms convert each image in a video sequence to a list of targets through a segmentation step, and pass this target set to a traditional multiple-point-target tracking algorithm. Various tracking vision-based strategi...

Low vision and blindness.

A single-topic issue of the Journal of Rehabilitation Research and Development provides a unique opportunity to present new information and to interest new research professionals in meeting the challenges faced by persons with a visual disability. That a single-topic issue of a VA journal is devoted to the area of low vision and blindness is appropriate. The Department of Veterans Affairs (VA) ...

Low Vision Enhancement System

The Johns Hopkins University, the National Aeronautics and Space Administration, and the Veterans Administration are collaborating to develop and test the Low Vision Enhancement System (LVES), a new technology for aiding persons with severe, chronic visual impairments. The LVES consists of a batterypowered, binocular, head-mounted black-and-white video display equipped with three video cameras....

Low Vision Rehabilitation