Street Scene in the eye of CV4LV

Welcome to the MMVC Lab Special Research Topics Website!

This sub-site of MMVC Lab shows and records the design and progress of two special topics for helping the low vision people with state-of-the-art Computer Vision technologies.

Motivation

The World Health Organization estimates there are 285 million people suffering from visual impairment worldwide (39 million blind, 246 million low vision). Blindness and low vision result in a host of social, emotional and health-related problems, as increasingly limited vision leads increasingly to impaired mobility, often secondary to falls, injuries, and co-morbidities. Impaired mobility in turn leads to significantly reduced rates of employment and generates severe quality of life compromises. Alarmingly, visual deficiency not only generates productivity losses and tremendous healthcare costs, but it also significantly increases further morbidity and mortality. Our goal is to create a smart service system for spatial intelligence and on-board navigation (VIS4ION and CV4LV) for visual impairments of all etiologies, providing real-time situational and obstacle awareness in one’s immediate environment, allowing the individual to travel more safely through 3D space and finish their activities of daily living.


Contact Us


Eli at dry erase board

Yi Fang, Ph.D.

Assistant Professor
Department of CSE and ECE
New York University Abu Dhabi
New York University Tandon School of Engineering

email: yfang (#!) nyu.edu