[4eyes] Reading Group: Point Clouds: Lidar versus 3D Vision

[Benjamin Nuernberger]

Hi everyone,

This Monday I'll be presenting "Point Clouds: Lidar versus 3D Vision." I
wanted to pick something that's interesting yet easy to read (e.g. for
those who are in finals...) Below is its abstract:

Novel automated photogrammetry is based on four innovations. First is the
cost-free increase of overlap between images when sensing digitally. Second
is an improved radiometry. Third is multi-view matching. Fourth is the
Graphics Processing Unit (GPU), making complex algorithms for image
matching very practical. These innovations lead to improved automation of
the photogrammetric workflow so that point clouds are created at sub-pixel
accuracy, at very dense intervals, and in near real-time, thereby eroding
the unique selling proposition of lidar scanners. Two test projects compare
point clouds from aerial and street-side lidar systems with those created
from images. We show that the photogrammetric accuracy compares well with
the lidar-method, yet the density of surface points is much higher from
images, and the throughput is commensurate with a fully automated
all-digital approach. Beyond this density, we identify 15 additional
advantages of the photogrammetric approach.

You can find the paper here:
http://www.icg.tu-graz.ac.at/publications/point-clouds-lidar-versus-3d-vision

Thanks,
Ben
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