Computational thermal imaging and 1p LiDAR

计算热成像和 1p LiDAR

• 批准号: 2749517
• 金额: --
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2749517
• 关键词: Computational; thermal; imaging; 1p; LiDAR

The main aim of the research is to demonstrate immersive situational awareness using computational thermal imaging integrated with single-photon LiDAR for enhanced recognition and identification. Conventional imaging systems record simple 2D images of a scene over a restricted field of view. This PhD project will research new techniques to record 3D scenes with a 4pi steradians field of view using the principles of multi-aperture computational and integral imaging. The focus of the technique will be implementation using flexible arrays of person-worn cameras operating at thermal infrared wavelengths and this introduces additional significant challenges associated with calibration, low-contrast imagery, and low pixel counts. Research will also be conducted into fusing thermal infrared imagery with the complementary capabilities of single-photon LiDAR.

该研究的主要目的是展示使用计算热成像与单光子激光雷达集成的沉浸式态势感知，以增强识别和识别。传统的成像系统在受限的视场上记录场景的简单2D图像。这个博士项目将研究新的技术来记录3D场景与4pi球面度的视野使用多孔径计算和积分成像的原则。该技术的重点将是使用在热红外波长下工作的灵活的个人佩戴相机阵列来实现，这将带来与校准、低对比度图像和低像素数相关的额外重大挑战。还将研究如何将热红外图像与单光子激光雷达的互补能力相结合。