diff options
Diffstat (limited to 'science-libs/pcl/DETAILS')
| -rwxr-xr-x | science-libs/pcl/DETAILS | 21 |
1 files changed, 21 insertions, 0 deletions
diff --git a/science-libs/pcl/DETAILS b/science-libs/pcl/DETAILS new file mode 100755 index 0000000000..f31c936c21 --- /dev/null +++ b/science-libs/pcl/DETAILS @@ -0,0 +1,21 @@ + SPELL=pcl + VERSION=1.2.0 + SOURCE=PCL-$VERSION-Source.tar.bz2 + SOURCE_URL[0]=http://dev.pointclouds.org/attachments/download/442/$SOURCE + SOURCE_HASH=sha512:9cb4e9fa63fc5776d90d1a87142eb14c9e29fa2d062f0b456abd7c135f661a2cd8c085472a5dd40c385da4656823d597a6dad4c85d213d778071f99eade55615 +SOURCE_DIRECTORY=$BUILD_DIRECTORY/PCL-$VERSION-Source + WEB_SITE=http://pointclouds.org/ + LICENSE[0]=BSD + ENTERED=20111015 + SHORT="Point Cloud Library" +cat << EOF +The Point Cloud Library (or PCL) is a large scale, open project for point +cloud processing. The PCL framework contains numerous state-of-the art +algorithms including filtering, feature estimation, surface reconstruction, +registration, model fitting and segmentation. These algorithms can be used, +for example, to filter outliers from noisy data, stitch 3D point clouds +together, segment relevant parts of a scene, extract keypoints and compute +descriptors to recognize objects in the world based on their geometric +appearance, and create surfaces from point clouds and visualize them -- to +name a few. +EOF |