OpenVL is the future of developer-friendly computer vision - existing vision frameworks provide access at a very low level, such as individual algorithm names (often named after their inventor), while OpenVL provides a higher-level abstraction to hide the details of sophisticated vision techniques: developers use a task-centred API to supply a description of the problem, and OpenVL interprets the description and provides a solution.

The OpenVL computer vision abstraction will support hardware acceleration and multiple platforms (mobile, cloud, desktop, console), and therefore also allows vendor-specific implementations. We are committed to making it an open API available to everyone (and hope to make it an open standard); Continue reading...
Face Front
Face Profile
    author = {Gregor Miller and Sidney Fels},
    title = {OpenVL: An Abstraction for Developer-Friendly Computer Vision},
    booktitle = {Proceedings of the 4th Annual GRAND NCE AGM},
    series = {GRAND'13},
    month = {May},
    year = {2013},
    publisher = {GRAND},
    address = {Vancouver, B.C., Canada},
    location = {Toronto, Ontario, Canada},
    url = {}