Advanced correction of projected imagery
投影图像的高级校正
基本信息
- 批准号:499828-2016
- 负责人:
- 金额:$ 5.79万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Radiometric compensation is the correction of a projected image to compensate for surface color, texture,reflectivity, and surrounding effects and influences from the environment. Such compensation has applicationfor customers who develop any number of complex, non-flat-screen installations, for which example use casesinclude domes, such as planetariums or other attractions, projection mappings onto three dimensional objects,projecting onto non-traditional "screens" (such as buildings and other large surfaces, whether flat or not), andin projector stacking, where multiple projectors are overlaid, typically for reasons of brightness enhancement.For our industrial partner, a significant fraction of their customers do operate projectors in complexconfigurations, and more would do so if the tools to enable such configurations were available. At the presenttime, simple configurations are addressed with rudimentary tools such as background subtraction, howeverthere is presently no solution for generalized installations, although there is significant demand and marketopportunity. As a result, in the absence of an effective radiometric-compensation tool, customers are either notpursuing their creative, challenging ideas at all, or are having to accept inferior imaging for the viewer.
辐射补偿是对投影图像的校正,以补偿表面颜色、纹理、反射率和周围效果以及环境的影响。此类补偿适用于开发任何数量的复杂、非平面屏幕安装的客户,例如用例包括圆顶(例如天文馆或其他景点)、三维对象的投影映射、投影到非传统的“屏幕”(诸如建筑物和其他大的表面,无论是否平坦),以及在投影仪堆叠中,其中多个投影仪被重叠,对于我们的工业合作伙伴来说,他们的客户中有相当一部分确实以复杂的配置操作投影机,如果能够提供支持此类配置的工具,更多的客户会这样做。目前,简单的配置是用基本的工具来解决的,例如背景减除,然而,目前还没有通用安装的解决方案,尽管有很大的需求和市场需求。因此,在缺乏有效的辐射补偿工具的情况下,客户要么根本不追求他们的创造性,挑战性的想法,要么不得不接受观众的劣质成像。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Fieguth, Paul其他文献
Constrained Watershed Method to Infer Morphology of Mammalian Cells in Microscopic Images
- DOI:
10.1002/cyto.a.20951 - 发表时间:
2010-12-01 - 期刊:
- 影响因子:3.7
- 作者:
Kachouie, Nezamoddin N.;Fieguth, Paul;Khademhosseini, Ali - 通讯作者:
Khademhosseini, Ali
Process performance evaluation and classification via in-situ melt pool monitoring in directed energy deposition
- DOI:
10.1016/j.cirpj.2021.06.015 - 发表时间:
2021-07-14 - 期刊:
- 影响因子:4.8
- 作者:
Ertay, Deniz Sera;Naiel, Mohamed A.;Fieguth, Paul - 通讯作者:
Fieguth, Paul
Extended local binary patterns for texture classification
- DOI:
10.1016/j.imavis.2012.01.001 - 发表时间:
2012-02-01 - 期刊:
- 影响因子:4.7
- 作者:
Liu, Li;Zhao, Lingjun;Fieguth, Paul - 通讯作者:
Fieguth, Paul
Virtual histological staining of label-free total absorption photoacoustic remote sensing (TA-PARS).
- DOI:
10.1038/s41598-022-14042-y - 发表时间:
2022-06-18 - 期刊:
- 影响因子:4.6
- 作者:
Boktor, Marian;Ecclestone, Benjamin R.;Pekar, Vlad;Dinakaran, Deepak;Mackey, John R.;Fieguth, Paul;Haji Reza, Parsin - 通讯作者:
Haji Reza, Parsin
Deep learning methods for inverse problems.
- DOI:
10.7717/peerj-cs.951 - 发表时间:
2022 - 期刊:
- 影响因子:3.8
- 作者:
Kamyab, Shima;Azimifar, Zohreh;Sabzi, Rasool;Fieguth, Paul - 通讯作者:
Fieguth, Paul
Fieguth, Paul的其他文献
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{{ truncateString('Fieguth, Paul', 18)}}的其他基金
Resilience, Interpretability, and Scale in Large Complex Systems
大型复杂系统的弹性、可解释性和规模
- 批准号:
RGPIN-2020-04490 - 财政年份:2022
- 资助金额:
$ 5.79万 - 项目类别:
Discovery Grants Program - Individual
Resilience, Interpretability, and Scale in Large Complex Systems
大型复杂系统的弹性、可解释性和规模
- 批准号:
RGPIN-2020-04490 - 财政年份:2021
- 资助金额:
$ 5.79万 - 项目类别:
Discovery Grants Program - Individual
Unsupervised Machine Learning for Visual Relation Detection
用于视觉关系检测的无监督机器学习
- 批准号:
549003-2019 - 财政年份:2021
- 资助金额:
$ 5.79万 - 项目类别:
Alliance Grants
Resilience, Interpretability, and Scale in Large Complex Systems
大型复杂系统的弹性、可解释性和规模
- 批准号:
RGPIN-2020-04490 - 财政年份:2020
- 资助金额:
$ 5.79万 - 项目类别:
Discovery Grants Program - Individual
Advanced Calibration for Multiple Projector Systems
多投影仪系统的高级校准
- 批准号:
531853-2018 - 财政年份:2020
- 资助金额:
$ 5.79万 - 项目类别:
Collaborative Research and Development Grants
Unsupervised Machine Learning for Visual Relation Detection
用于视觉关系检测的无监督机器学习
- 批准号:
549003-2019 - 财政年份:2020
- 资助金额:
$ 5.79万 - 项目类别:
Alliance Grants
Advanced Calibration for Multiple Projector Systems
多投影仪系统的高级校准
- 批准号:
531853-2018 - 财政年份:2019
- 资助金额:
$ 5.79万 - 项目类别:
Collaborative Research and Development Grants
Scale-Coupling and Non-Locality in Large Random Fields
大随机场中的尺度耦合和非局部性
- 批准号:
RGPIN-2015-05866 - 财政年份:2019
- 资助金额:
$ 5.79万 - 项目类别:
Discovery Grants Program - Individual
Scale-Coupling and Non-Locality in Large Random Fields
大随机场中的尺度耦合和非局部性
- 批准号:
RGPIN-2015-05866 - 财政年份:2018
- 资助金额:
$ 5.79万 - 项目类别:
Discovery Grants Program - Individual
Scale-Coupling and Non-Locality in Large Random Fields
大随机场中的尺度耦合和非局部性
- 批准号:
RGPIN-2015-05866 - 财政年份:2017
- 资助金额:
$ 5.79万 - 项目类别:
Discovery Grants Program - Individual
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