SBIR Phase I: A novel parallax-free, 360 degree panoramic camera system

SBIR 第一阶段：新型无视差 360 度全景摄像系统

基本信息

批准号：
2026054
负责人：
Andrew Kurtz
金额：
$ 25.6万
依托单位：
Circle Optics LLC
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2021-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2026054&HistoricalAwards=false
关键词：
SBIR Phase novel parallax free

项目摘要

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to advance long-form panoramic content capture at reduced cost. While content creators and producers seek panoramic content capture to create immersive viewing experiences, current approaches integrate many shots that consequently require expensive and time-intensive post-production. This project will save costs and labor by enabling seamless real-time capture of cinematic-quality panoramic content. Potential applications include security, risk and asset management, robotics, mapping, and live event capture; sectors that can benefit include navigation, aviation, tourism, construction, manufacturing, and entertainment. This Small Business Innovation Research (SBIR) Phase I project will develop an innovative camera system that fuses images captured through a camera array at the level of the lenses, rendering a perfect 360° image instantaneously. Minimizing overlapping image capture reduces the problems of parallax error and perspective errors, while valuable camera resolution is not lost on redundancy. This project will: 1) develop software; and 2) validate opto-mechanical alignment and assembly concepts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小型企业创新研究（SBIR）I阶段项目的更广泛的影响/商业潜力将是以降低的成本来推动长格全景捕获。当内容创建者和生产者寻求全景内容捕获以创造沉浸式观看体验时，当前的方法整合了许多镜头，因此需要昂贵且耗时的后期制作。该项目将通过实现对电影质量全景内容的无缝实时捕获来节省成本和劳动力。潜在的应用程序包括安全性，风险和资产管理，机器人技术，映射和实时事件捕获；可以受益的行业包括导航，航空，旅游，建筑，制造和娱乐。这项小型企业创新研究（SBIR）I阶段项目将开发一个创新的相机系统，该系统通过镜头级别通过相机阵列捕获的图像融合，并立即构成完美的360°图像。最小化重叠图像捕获会减少均衡型错误和透视误差的问题，而在冗余时，有价值的摄像头分辨率并没有丢失。该项目将：1）开发软件； 2）验证光学机械对齐和集会概念。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响评估标准来评估，被认为是珍贵的支持。