Imaging-free object recognition enabled by optical coherence
Yixuan Tan, Xin Lei, Xingze Wang, Shanhui Fan, Zongfu Yu

TL;DR
This paper demonstrates a novel imaging-free object recognition method using optical coherence, which bypasses traditional imaging limitations and enables recognition without focusing, beyond diffraction limits, or without line-of-sight.
Contribution
It introduces a new approach to object recognition that directly analyzes interference patterns, eliminating the need for forming optical images.
Findings
Recognition without focusing or imaging optics
Overcomes diffraction limit constraints
Operates without direct line-of-sight
Abstract
Visual object recognition is one of the most important perception functions for a wide range of intelligent machines. A conventional recognition process begins with forming a clear optical image of the object, followed by its computer analysis. In contrast, it is possible to carry out recognition without imaging by using coherent illumination and directly analyzing the optical interference pattern of the scattered light as captured by an image sensor. Here we show that such direct visual recognition can overcome traditional limitations of imaging optics to realize excellent recognition without focusing, beyond diffraction limit, or in the absence of direct line-of-sight.
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Taxonomy
TopicsRandom lasers and scattering media · Optical Coherence Tomography Applications · Advanced Optical Sensing Technologies
