Transport-Aware Image Sensors

传输感知图像传感器

• 批准号: RGPIN-2017-06931
• 负责人: Genov, Roman
• 金额: $ 4.23万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 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: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637279
• 关键词: Transport; Aware; Image; Sensors

The main objective of our research program for the next five-year term will be to design, prototype and demonstrate a new class of computational image sensor integrated circuits whose key property is that they are transport-aware. Unlike conventional image sensors, which record all incident light, transport-aware imagers can be programmed to selectively detect only some of that light, depending on the actual 3D paths it followed through a visual scene. Such an imager acquires selected components of light transport (e.g., direct-only contributions, indirect-only contributions, specular-indirect contributions, etc.) by physically blocking all “undesirable” light paths so they cannot contribute to the image formed on the sensor.

我们下一个五年期研究计划的主要目标将是设计，原型和演示一类新的计算图像传感器集成电路，其关键特性是它们是运输感知的。与记录所有入射光的传统图像传感器不同，运输感知成像器可以被编程为选择性地只检测其中一些光，这取决于它通过视觉场景所遵循的实际3D路径。这样的成像器获取光传输的选定分量（例如，仅直接贡献、仅间接贡献、投机-间接贡献等）通过物理地阻挡所有“不期望的”光路，使得它们不能对传感器上形成的图像有贡献。