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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Automatic Classification of Image Registration Problems
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@InCollection{Oldridge:ICVS2009,
    author = {Steve Oldridge and Gregor Miller and Sidney Fels},
    title = {Automatic Classification of Image Registration Problems},
    booktitle = {Proceedings of the 7th International Conference on Computer Vision Systems (ICVS)},
    series = {Lecture Notes in Computer Science},
    pages = {215--224},
    volume = {5815},
    month = {October},
    year = {2009},
    publisher = {Springer},
    address = {Berlin / Heidelberg, Germany},
    isbn = {978-3-642-04666-7},
    location = {Li`{e}ge, Belgium},
    doi = {http://dx.doi.org/10.1007/978-3-642-04667-4_22},
    url = {http://www.openvl.org/papers.php?id=Oldridge:ICVS2009}
}