Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cloud Dictionary: Sparse Coding and Modeling for Point Clouds   With the development of range sensors such as LIDAR and time-of-flight
cameras, 3D point cloud scans have become ubiquitous in computer vision
applications, the most prominent ones being gesture recognition and autonomous
driving. Parsimony-based algorithms have shown great success on images and
videos where data points are sampled on a regular Cartesian grid. We propose an
adaptation of these techniques to irregularly sampled signals by using
continuous dictionaries. We present an example application in the form of point
cloud denoising.

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The categories of this paper are: ao-sci
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The categories of this paper are: eess
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
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The categories of this paper are: astro-ph
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The categories of this paper are: q-alg
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The categories of this paper are: funct-an
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The categories of this paper are: solv-int
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The categories of this paper are: bayes-an
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The categories of this paper are: quant-ph
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The categories of this paper are: stat
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The categories of this paper are: nucl-th
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The categories of this paper are: nlin
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-lat