SBIR Phase I: Reflectance Sensitive Image Sensor for Illumination-Invariant Visual Perception

SBIR 第一阶段：用于照明不变视觉感知的反射敏感图像传感器

• 批准号: 0339971
• 负责人: Vladimir Brajovic
• 金额: $ 9.97万
• 依托单位: Intrigue Technologies, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0339971&HistoricalAwards=false
• 关键词: SBIR; Phase; Reflectance; Sensitive; Image

0339971This Small Business Innovation Research Phase I project proposes to develop an adaptive CMOS image sensor that estimates and largely eliminates illumination variations in sensed optical images thus reporting electronic images that are indicative of the reflectance of the viewed scene. Most present and future vision applications including automotive, biometric, security, and mobile computing applications operate in unconstrained environments and have to cope with unknown and widely varying illumination conditions. The proposed research has a potential to broadly impact computer vision performance and reliability. The core innovation is in a signal processing technique for estimating the illumination field from sensed images. The technique efficiently implements as a dense on-chip massively parallel analog processor distributed among the photodetectors to produce a reflectance sensitive image sensor.Image sensors are rapidly finding their way into cars, cell-phones, personal digital assistants, medical and diagnostic equipment, automated drug discovery, cutting edge security, surveillance and biometric systems. To fully realize the potential of electronic imaging in society, the image sensors will need to adapt and provide useful images most of the time even under the harshest of illumination conditions. The proposed research will make this possible and make people.s lives safer, more productive and more enjoyable.

0339971该小型企业创新研究第一阶段项目提出开发一种自适应CMOS图像传感器，该传感器估计并在很大程度上消除感测到的光学图像中的照明变化，从而报告指示所观察场景的反射率的电子图像。包括汽车、生物识别、安全和移动的计算应用在内的大多数当前和未来的视觉应用都在不受约束的环境中运行，并且必须科普未知和广泛变化的照明条件。 这项研究有可能广泛影响计算机视觉的性能和可靠性。 核心创新在于用于从感测图像估计照明场的信号处理技术。 该技术有效地实现了一个密集的片上大规模并行模拟处理器分布在光电探测器，以产生反射敏感的图像传感器。图像传感器正在迅速找到他们的方式进入汽车，手机，个人数字助理，医疗和诊断设备，自动药物发现，尖端的安全，监控和生物识别系统。 为了充分发挥电子成像在社会中的潜力，图像传感器将需要适应并提供有用的图像，即使在最恶劣的照明条件下。 拟议中的研究将使这成为可能，使人们的生活更安全，更富有成效，更愉快。