Vegetation Segmentation for Sensor Fusion of Omnidirectional Far-Infrared and Visual Stream

Stone, David L.; Shah, Guarav; Motai, Yuichi; Aved, Alexander

doi:10.1109/jstars.2019.2891518

Cited by 4 publications

(1 citation statement)

References 47 publications

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“…The mechanism of this projection is equivalent to the usual camera projection. Through these two projections, the objects around the panoramic vision sensor are generated as distorted panoramic images on the imaging plane [6,7].…”

Section: Image Sensory Experience Methods Based On Omnidirectional Visual Sensor In Art Designmentioning

confidence: 99%

Image Sensory Experience of Artistic Design Based on the Role of Omnidirectional Vision Sensors

Tong¹

2021

Journal of Sensors

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As a sensor with a wide field of view, the panoramic vision sensor is efficient and convenient in perceiving the characteristic information of the surrounding environment and plays an important role in the experience of artistic design of images. The transformation of visual and other sensory experiences in art design is to integrate sound, image, texture, taste, and smell with each other through reasonable rules, to create more excellent crossborder art design works. To improve the sensory experience that art design works bring to the audience, the combination of vision and other sensory experiences can maximize the advantages of multiple information dissemination methods and combine the omnidirectional visual sensor with the sensory experience of art design images. In the method part, this article introduces the omnidirectional vision sensor, art design image, and sensory experience modes and content and introduces the hyperbolic concave mirror theory and the Micusik perspective projection imaging model. In the experimental part, the experimental environment, experimental objects, and experimental procedures of this article are introduced. In the analysis part, this article analyzes the six aspects of image database dependency test, performance, comparison of different distortion types, false detection rate and missing detection rate, algorithm time-consuming comparison, sensory experience analysis, and feature point screening. Among the feelings of the art design image, for the first image, 87.21% of the audience’s feelings are happy, indicating that the main idea of this image can bring joy to people. In the second image, the audience’s feelings are mostly sad. For the third image, more than half of the audience’s feelings are melancholy. For the fourth image, 69.34% of the audience’s inner feelings are calm. It explains that the difference in the content of art design images can bring different sensory experiences to people.

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Section: Image Sensory Experience Methods Based On Omnidirectional Visual Sensor In Art Designmentioning

confidence: 99%

Image Sensory Experience of Artistic Design Based on the Role of Omnidirectional Vision Sensors

Tong¹

2021

Journal of Sensors

View full text Add to dashboard Cite

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Diagnosis of Collateral Effects in Climate Change Through the Identification of Leaf Damage Using a Novel Heuristics and Machine Learning Framework

Salazar

Cruz

Ochoa-Zezzatti

et al. 2021

Metaheuristics in Machine Learning: Theory and Applications

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VAPOR: Legged Robot Navigation in Unstructured Outdoor Environments using Offline Reinforcement Learning

Weerakoon,

Sathyamoorthy,

Elnoor

et al. 2024

2024 IEEE International Conference on Robotics and Automation (ICRA)

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Vegetation Segmentation for Sensor Fusion of Omnidirectional Far-Infrared and Visual Stream

Cited by 4 publications

References 47 publications

Image Sensory Experience of Artistic Design Based on the Role of Omnidirectional Vision Sensors

Image Sensory Experience of Artistic Design Based on the Role of Omnidirectional Vision Sensors

Diagnosis of Collateral Effects in Climate Change Through the Identification of Leaf Damage Using a Novel Heuristics and Machine Learning Framework

VAPOR: Legged Robot Navigation in Unstructured Outdoor Environments using Offline Reinforcement Learning

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