Bio-Inspired Polarization Vision Techniques for Robotics Applications

Shabayek, Abd El Rahman; Morel, Olivier; Fofi, David

doi:10.4018/978-1-4666-7387-8.ch005

Cited by 2 publications

(2 citation statements)

References 120 publications

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“…Inspired by nature, there are now many devices that capture images containing information about the polarization of light [7,8], known as imaging polarimeters or polarization cameras. These have been used in a growing number of applications [9] including mine detection [10], surveillance [11], shape retrieval [12] and robot vision [13], as well as research in sensory biology [8,14].…”

Section: Introductionmentioning

confidence: 99%

Denoising imaging polarimetry by adapted BM3D method

Tibbs

Daly²,

Roberts³

et al. 2018

J. Opt. Soc. Am. A

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In addition to the visual information contained in intensity and color, imaging polarimetry allows visual information to be extracted from the polarization of light. However, a major challenge of imaging polarimetry is image degradation due to noise. This paper investigates the mitigation of noise through denoising algorithms and compares existing denoising algorithms with a new method, based on BM3D (Block Matching 3D). This algorithm, Polarization-BM3D (PBM3D), gives visual quality superior to the state of the art across all images and noise standard deviations tested. We show that denoising polarization images using PBM3D allows the degree of polarization to be more accurately calculated by comparing it with spectral polarimetry measurements.

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Section: Introductionmentioning

confidence: 99%

Denoising imaging polarimetry by adapted BM3D method

Tibbs

Daly²,

Roberts³

et al. 2018

J. Opt. Soc. Am. A

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show abstract

“…This work surveys the different bio-inspired polarization techniques for robot orientation and navigation. It is a focused discussion of orientation and navigation techniques of (Shabayek, Morel, & Fofi 2013;Shabayek, Morel, & Fofi 2015) where the most recent research in the area of bio-inspired polarization based techniques is covered. The methods are classified according to the type of visual sensors used for orientation and navigation as Photodiodes, CCD/CMOS, and special sensors.…”

Section: Introductionmentioning

confidence: 99%

Polarization-based Robot Orientation and Navigation

Shabayek

Morel

Fofi

2015

International Journal of Systems Biology and Biomedical Technologies

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From insects in your garden to creatures in the sea, inspiration can be drawn from nature to design a whole new class of smart robotic devices. These smart machines may move like living creatures. They can be launched toward a specific target for a pre-defined task. Bio-inspiration is developing to meet the needs of many challenges particularly in machine vision. Some species in the animal kingdom like cephalopods, crustaceans and insects are distinguished with their visual capabilities which are strongly improved by means of polarization. This work surveys the most recent research in the area of bio-inspired polarization based robot orientation and navigation. Firstly, the authors will briefly discuss the polarization based orientation and navigation behavior in the animal kingdom. Secondly, a comprehensive cover of its mapping into robotics navigation and orientation estimation will be given. Finally, the future research directions will be discussed.

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Bio-Inspired Polarization Vision Techniques for Robotics Applications

Cited by 2 publications

References 120 publications

Denoising imaging polarimetry by adapted BM3D method

Denoising imaging polarimetry by adapted BM3D method

Polarization-based Robot Orientation and Navigation

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