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...
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Open Source Vision Library (OpenVL) Based Local Positioning System
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@InProceedings{Shen:AVSS2006,
    author = {Changsong Shen and Steve Oldridge and Sidney Fels},
    title = {Open Source Vision Library (OpenVL) Based Local Positioning System},
    booktitle = {Proceedings of the Conference on Advanced Video and Signal-based Surveillance},
    series = {AVSS'06},
    pages = {105--110},
    month = {November},
    year = {2006},
    publisher = {IEEE},
    address = {New York City, New York, U.S.A.},
    isbn = {0-7695-2688-8},
    location = {Sydney, Australia},
    organization = {Computer Society},
    doi = {http://dx.doi.org/10.1109/AVSS.2006.88},
    url = {http://www.openvl.org/papers.php?id=Shen:AVSS2006}
}