Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Descriptor-Free Multi-View Region Matching for Instance-Wise 3D
  Reconstruction   This paper proposes a multi-view extension of instance segmentation without
relying on texture or shape descriptor matching. Multi-view instance
segmentation becomes challenging for scenes with repetitive textures and
shapes, e.g., plant leaves, due to the difficulty of multi-view matching using
texture or shape descriptors. To this end, we propose a multi-view region
matching method based on epipolar geometry, which does not rely on any feature
descriptors. We further show that the epipolar region matching can be easily
integrated into instance segmentation and effective for instance-wise 3D
reconstruction. Experiments demonstrate the improved accuracy of multi-view
instance matching and the 3D reconstruction compared to the baseline methods.

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The categories of this paper are: atom-ph
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The categories of this paper are: adap-org
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The categories of this paper are: cond-mat
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The categories of this paper are: astro-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: econ
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The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: chem-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: plasm-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: eess
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The categories of this paper are: q-bio
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The categories of this paper are: q-alg
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The categories of this paper are: gr-qc