Viewpoint-Independent Object Recognition using Photon-Counted Point Clouds

Edward Watson

doi:10.1364/lsc.2019.ltu5b.3

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Viewpoint-Independent Object Recognition using Photon-Counted Point Clouds

Edward Watson

Year: 2019 Pages: LTu5B.3-LTu5B.3

DOI: 10.1364/lsc.2019.ltu5b.3

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Abstract

We extend photon-counted pattern recognition to viewpoint invariance using 3D point clouds. Images are statistical so we use Monte Carlo methods to generate a metric of point distributions. This metric shows reliable discrimination between two objects.

Keywords:

Point cloud Metric (unit) Point (geometry) Monte Carlo method Artificial intelligence Computer science Cognitive neuroscience of visual object recognition Object (grammar) Photon Pattern recognition (psychology) Computer vision Algorithm Mathematics Statistics Physics Optics Geometry Engineering

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Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Viewpoint-Independent Object Recognition using Photon-Counted Point Clouds

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