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Descripción del Proyecto

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

Un error de calibración de cámaras múltiples se ha fijado, junto con un error de precisión de aumento, que también apareció en el caso de varias cámaras.
Tags: Major bugfixes
A multiple camera calibration bug has been fixed, together with an augmentation accuracy bug that also appeared in the multiple camera case.

2006-10-03 23:47
1.3

De calibración fotométrica está incluido. Volver a encender OpenGL portátil con el mapa de irradiancia calculada.
Tags: Major feature enhancements
Photometric calibration is included. Portable OpenGL relighting with the computed irradiance map.

2006-09-06 15:57
1.2

Geométrica de calibración de la cámara única y múltiple es incluido, con un ejemplo que muestra en tiempo real en 3D de aumento.
Tags: Major feature enhancements
Geometric single and multi camera calibration is
included, with an example showing real-time 3D
augmentation.

2006-05-10 17:15
1.1

Este comunicado de pública inicial incluye una aplicación de ejemplo que de manera rápida y detecta automáticamente una hoja de papel en las imágenes.
Tags: Initial freshmeat announcement
This initial public release includes a sample
application that quickly and automatically detects
a sheet of paper on images.

Project Resources