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Towards a computer vision shader language

Published: 07 August 2011 Publication History

Abstract

Computer vision is a complex field which can be challenging for those outside the research community to apply in the real world. The problem preventing widespread adoption is the lack of a formulation which separates the understanding of a task from the knowledge of which algorithm to use as a solution. Successful abstractions in computer graphics, such as OpenGL and DirectX, hide the algorithmic details of rendering behind a powerful interface. We propose a similar abstraction for computer vision, analogous to a shader language, which provides developers with access to sophisticated vision methods without requiring specialist knowledge. Our contribution is an interface which presents developers with mechanisms to describe their vision task; the description is interpreted to select an appropriate method and provide a solution.

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  • (2011)Towards a general abstraction through sequences of conceptual operationsProceedings of the 8th international conference on Computer vision systems10.5555/2045399.2045425(183-192)Online publication date: 20-Sep-2011
  • (2011)Developer-centred interface design for computer vision2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)10.1109/ICCVW.2011.6130274(437-444)Online publication date: Nov-2011

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  1. Towards a computer vision shader language

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      cover image ACM Conferences
      SIGGRAPH '11: ACM SIGGRAPH 2011 Posters
      August 2011
      92 pages
      ISBN:9781450309714
      DOI:10.1145/2037715
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      Published: 07 August 2011

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      Cited By

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      • (2011)Towards a general abstraction through sequences of conceptual operationsProceedings of the 8th international conference on Computer vision systems10.5555/2045399.2045425(183-192)Online publication date: 20-Sep-2011
      • (2011)Developer-centred interface design for computer vision2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)10.1109/ICCVW.2011.6130274(437-444)Online publication date: Nov-2011

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