Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene
  Flow Estimation of Dynamic Traffic Scenes   Existing 3D scene flow estimation methods provide the 3D geometry and 3D
motion of a scene and gain a lot of interest, for example in the context of
autonomous driving. These methods are traditionally based on a temporal series
of stereo images. In this paper, we propose a novel monocular 3D scene flow
estimation method, called Mono-SF. Mono-SF jointly estimates the 3D structure
and motion of the scene by combining multi-view geometry and single-view depth
information. Mono-SF considers that the scene flow should be consistent in
terms of warping the reference image in the consecutive image based on the
principles of multi-view geometry. For integrating single-view depth in a
statistical manner, a convolutional neural network, called ProbDepthNet, is
proposed. ProbDepthNet estimates pixel-wise depth distributions from a single
image rather than single depth values. Additionally, as part of ProbDepthNet, a
novel recalibration technique for regression problems is proposed to ensure
well-calibrated distributions. Our experiments show that Mono-SF outperforms
state-of-the-art monocular baselines and ablation studies support the Mono-SF
approach and ProbDepthNet design.

34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn