伯克利Brian A.Barsky教授学术报告(一）
讲座名称：
伯克利Brian A.Barsky教授学术报告(一）
讲座时间：
2012-05-24
讲座人：
Brian A.Barsky
形式：
校区：
兴庆校区
实践学分：
讲座内容：
报告题目： Vision Realistic Rendering
报 告 人： Brian A.Barsky, Professor of UC Berkeley
邀请单位： 人工智能与机器人研究所
报告时间： 10:00-12:00AM, 2012年5月24日 (星期四)
报告地点： 逸夫科学馆207会议室
摘要：
Vision-realistic rendering (VRR) is the computer generation of synthetic images to simulate a subject's vision, by incorporating the
characteristics of a particular individual’s entire optical system. Using measured aberration data from a Shack-Hartmann wavefront aberrometry device, VRR modifies input images to simulate the appearance of the scene for the individual patient. Each input image can be a photograph, synthetic image created by computer, frame from a video, or standard Snellen acuity eye chart -- as long as there is accompanying depth information. An eye chart is very revealing, since it shows what the patient would see during an eye examination, and provides an accurate picture of his or her vision. Using wavefront aberration measurements, we determine a discrete blur function by sampling at a set of focusing distances, specified as a set of depth planes that discretize the three-dimensional space. For each depth plane, we construct an object-space blur filter. VRR methodolgy comprises several steps: (1) creation of a set of depth images, (2) computation of blur filters, (3) stratification of the image, (4) blurring of each depth image, and (5) composition of the blurred depth images to form a single vision-simulated image.VRR provides images and videos of simulated vision to enable a patient's eye doctor to see the specific visual anomalies of the patient. In addition to blur, VRR could reveal to the doctor the multiple images or distortions present in the patient's vision that would not otherwise be apparent from standard visual acuity measurements. VRR could educate medical students as well as patients about the particular visual effects of certain vision disorders (such as keratoconus and monocular diplopia) by enabling them to view images and videos that are generated using the optics of various eye conditions. By measuring PRK/LASIK patients pre- and post-op, VRR could provide doctors with extensive, objective, information about a patient's vision before and after surgery. Potential candiates contemplating surgery could see simulations of their predicted vision and of various possible visual anomalies that could arise from the surgery, such as glare at night. The current protocol, where patients sign a consent form that can be difficult for a layperson to nderstand fully, could be supplemented by the viewing of a computer-generated video of simulated vision showing the possible visual problems that could be engendered by the surgery.
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