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專案描述

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.

System Requirements

System requirement is not defined
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2006-10-20 19:57
1.3.1

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

2006-10-03 23:47
1.3

Photometric calibration is included. Portable OpenGL relighting with the computed irradiance map.
標籤: Major feature enhancements

2006-09-06 15:57
1.2

Geometric single and multi camera calibration is
included, with an example showing real-time 3D
augmentation.
標籤: Major feature enhancements

2006-05-10 17:15
1.1

This initial public release includes a sample
application that quickly and automatically detects
a sheet of paper on images.
標籤: Initial freshmeat announcement

Project Resources