Papers › Cloud Dictionary: Sparse Coding and Modeling for Point Clouds

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds

15 Dec 2016arXiv:1612.04956archive 2025-07-28

Or Litany, Tal Remez, Alex Bronstein

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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orlitany/Cloud_dictionary officialmentioned in paper report
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Autonomous DrivingDenoisingGesture Recognition

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