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 vid...

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Bibliographic Details
Published in:arXiv.org 2017-03
Main Authors: Or Litany, Remez, Tal, Bronstein, Alex
Format: Article
Language:English
Subjects:
Algorithms
Computer vision
Data points
Dictionaries
Gesture recognition
Lidar
Noise reduction
Object recognition
Three dimensional models
Online Access:Get full text
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Summary: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.
ISSN:2331-8422