Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3D planar patch extraction from stereo using probabilistic region
  growing   This article presents a novel 3D planar patch extraction method using a
probabilistic region growing algorithm. Our method works by simultaneously
initiating multiple planar patches from seed points, the latter determined by
an intensity-based 2D segmentation algorithm in the stereo-pair images. The
patches are grown incrementally and in parallel as 3D scene points are
considered for membership, using a probabilistic distance likelihood measure.
In addition, we have incorporated prior information based on the noise model in
the 2D images and the scene configuration but also include the intensity
information resulting from the initial segmentation. This method works well
across many different data-sets, involving real and synthetic examples of both
regularly and non-regularly sampled data, and is fast enough that may be used
for robot navigation tasks of path detection and obstacle avoidance.

0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph