Mid-Level Vision Systems for Low Vision

针对低视力的中级视觉系统

• 批准号: 7172503
• 负责人: NORBERTO M GRZYWACZ
• 金额: $ 115.95万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-30 至 2012-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7172503
• 关键词: Age; Age related macular degeneration; Aging; Algorithms; Biological; Biomedical Engineering; Blindness; California; Cataract; Clutterings; Cognitive; Color Visions; Complex; Computer Vision Systems; Consultations; Contrast Sensitivity; Crowding; Development; Devices; Diffuse; Disease; Effectiveness; Elderly; Engineering; Esthetics; Evaluation; Face; Faculty; Goals; Human; Image; Image Analysis; Inferior; Injury; Lead; Learning; Machine Learning; Masks; Measurement; Medical; Minor; Modeling; Motion Perception; Nature; Noise; Operative Surgical Procedures; Ophthalmology; Optometry; Patients; Perceptual learning; Population; Principal Investigator; Property; Psychologist; Psychology; Psychophysiology; Purpose; Range; Reading; Retina; Schools; Scientist; Shapes; Skiing; Surface; Surface Properties; System; Techniques; Technology; Testing; Texture; Universities; Vision; Visual; Visual Acuity; Visual Aid; Visual Fields; Visual impairment; Visual system structure; Visually Impaired Persons; Work; computational neuroscience; computer science; fovea centralis; human subject; improved; lens; medical schools; member; object recognition; symposium; tool; vision science; visual performance

DESCRIPTION (provided by applicant): Low vision is a significant reduction of visual function that cannot be fully corrected by ordinary lenses, medical treatment, or surgery. Aging, injuries, and diseases can cause low vision. Its leading causes and those of blindness, include cataracts and age-related macular degeneration (AMD), both of which are more prevalent in the elderly population. Our overarching goal is to develop devices to aid people with low vision. We propose to use techniques of computer vision and computational neuroscience to build systems that enhance natural images. We plan test these systems on normal people and visually impaired older adults, with and without AMD. We have three milestones to reach: 1) Our first milestone will be to develop a system for low-noise image-contrast enhancement, which should help with AMD, because it causes lower contrast sensitivity. 2) Our second milestone will be a system that extracts the main contours of images in a cortical-like manner. Superimposing these contours on images should help with contrast-sensitivity problems at occlusion boundaries. Diffusing regions inside contours should help with crowding problems prominent in AMD. 3) Our third milestone is to probe whether these systems can help people with low vision people. For this purpose, we plan to use a battery of search and recognition psychophysical tests tailor-made for AMD. We put together an interdisciplinary team. The Principal Investigator is Dr. Norberto Grzywacz from Biomedical Engineering at USC. Drs. Gerard Medioni from Computer Science and Bartlett Mel from Biomedical Engineering at USC will lead the efforts in Specific Aims 1 and 2 respectively. Drs. Bosco Tjan from USC Psychology, Susana Chung from the University of Houston, and Eli Peli from Harvard Medical School will lead Specific Aim 3. Other scientists are from USC. They include Dr. Irving Biederman from Psychology, an object-recognition expert and Dr. Mark Humayun, from Ophthalmology, an AMD expert. They also include Dr. lone Fine, from Ophthalmology, an expert in people who recover vision after a prolonged period without it and Dr. Zhong-Lin Lu, an expert on motion perception and perceptual learning.

描述（由申请人提供）：低视力是视觉功能的显着降低，无法通过普通镜头，医疗或手术完全纠正。衰老，伤害和疾病会导致低视力。它的主要原因和失明的原因，包括白内障和与年龄相关的黄斑变性（AMD），这两者在老年人群中更为普遍。我们的总体目标是开发设备以帮助有低视力的人。我们建议使用计算机视觉和计算神经科学技术来构建增强自然图像的系统。我们计划对正常人和视力障碍的老年人进行测试，其中有或没有AMD。我们有三个里程碑要达到：1）我们的第一个里程碑是开发一个用于低噪声图像对比度增强的系统，这应该有助于AMD，因为它会导致较低的对比度灵敏度。 2）我们的第二个里程碑将是一个以皮质样方式提取图像的主要轮廓的系统。将这些轮廓叠加在图像上应有助于在遮挡边界上解决对比度敏感性问题。轮廓内部扩散区域应有助于解决AMD中突出的拥挤问题。 3）我们的第三个里程碑是探究这些系统是否可以帮助患有低视力的人。为此，我们计划使用针对AMD量身定制的一系列搜索和识别心理物理测试。我们组建了一个跨学科团队。主要研究人员是USC生物医学工程的Norberto Grzywacz博士。博士。来自USC生物医学工程的计算机科学和Bartlett Mel的Gerard Medioni将分别领导特定目标1和2的努力。博士。 USC心理学的Bosco Tjan，休斯顿大学的Susana Chung和哈佛医学院的Eli Peli将领导特定的目标3。其他科学家来自USC。它们包括来自心理学专家心理学的欧文·比德曼（Irving Biederman）博士和AMD专家Ophthalmology的Mark Humayun博士。它们还包括Ophthalmology的Lone Fine博士。