Projects / BazAR

BazAR

BazAR is an augmented reality library based on efficient computer vision techniques. It contains an easy to use geometric and photometric camera calibration system. It works in real-time with one or more cameras. A simple OpenGL GLSL shader augments the video stream by inserting artificial 3D objects, shaded with the calibrated lightmap, on a real surface. BazAR is based on a very fast textured planar object detector and features point classification trees.

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Recent releases

  •  20 Oct 2006 17:57

    Release Notes: A multiple camera calibration bug has been fixed, together with an augmentation accuracy bug that also appeared in the multiple camera case.

    •  03 Oct 2006 21:47

      Release Notes: Photometric calibration is included. Portable OpenGL relighting with the computed irradiance map.

      •  06 Sep 2006 13:57

        Release Notes: Geometric single and multi camera calibration is included, with an example showing real-time 3D augmentation.

        •  10 May 2006 15:15

          Release Notes: This initial public release includes a sample application that quickly and automatically detects a sheet of paper on images.

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