Computer Vision

该研究计划旨在通过相机图像提高对物理世界的理解：（1）研究描述入射光（即，物理场景辐照度）被转换为不同成像场景下的相机传感器响应，以及（2）设计新颖的相机内成像流水线，其产生适合于摄影和科学任务的图像输出。布朗博士该计划与约克大学的3330万美元加拿大第一卓越研究基金计划Vision：Science to Applications（VISTA）密切相关，该计划专注于生物和计算计算机视觉的研究。

This research program aims to improve the understanding of the physical world through camera images by: (1) investigating image formation models that describe how incoming light (i.e., physical scene irradiance) is converted to camera sensor responses under different imaging scenarios and (2) designing novel in-camera imaging pipelines that produce image outputs suitable for both photographic and scientific tasks. Dr. Brown¿s program is strongly aligned with York University¿s $33.3 million Canada First Research Excellence Fund program, Vision: Science to Applications (VISTA), which focuses on research in biological and computational computer vision.