{"id":29362,"date":"2025-05-22T15:31:35","date_gmt":"2025-05-22T07:31:35","guid":{"rendered":"https:\/\/web.socsc.hku.hk\/?post_type=school_news&#038;p=29362"},"modified":"2025-05-22T16:17:20","modified_gmt":"2025-05-22T08:17:20","slug":"modelling-human-vision","status":"publish","type":"school_news","link":"https:\/\/web.socsc.hku.hk\/tc\/school_news\/modelling-human-vision\/","title":{"rendered":"Modelling Human Vision"},"content":{"rendered":"<p><em>Professor Andrew Luo\u2019s work enhances the understanding of how the human brain processes and interprets images, with significant implications for the development of machine vision.<\/em><\/p>\n<p>Every waking moment, our eyes absorb a vast amount of information from our surroundings\u00a0\u2013\u00a0people, places, things, animals, events. But how does our brain identify, organise, and prioritise these images?<\/p>\n<p>This question is of interest to both neuroscientists, who aim to better understand the workings of the brain, and computer scientists, who seek to apply this knowledge to computer vision. Professor Andrew Luo, Assistant Professor in the HKU Musketeers Foundation Institute of Data Science and Department of Psychology, has expertise in both fields. In the latest issue of the HKU Bulletin (May 2025, Volume 26 No.2), he shares his research insights and findings that enrich our understanding of visual processing.<\/p>\n<p>Full Story: <a href=\"https:\/\/bulletin.hku.hk\/cover-story-theme\/modelling-human-vision\/\">Link<\/a><\/p>\n","protected":false},"featured_media":0,"template":"","school_new_categories":[],"school_news_tag":[],"thought_leadership_category":[794],"department_category":[],"class_list":["post-29362","school_news","type-school_news","status-publish","hentry","thought_leadership_category-research-insights"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"Professor Andrew Luo\u2019s work enhances the understanding of how the human brain processes and interprets images, with significant implications for the development of machine vision. 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