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PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.15.20//NONSGML v1.0//EN
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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250430T110000
DTEND;TZID=Asia/Hong_Kong:20250430T120000
DTSTAMP:20260509T183754
CREATED:20250603T023059Z
LAST-MODIFIED:20250603T023149Z
UID:111451-1746010800-1746014400@ece.hku.hk
SUMMARY:Wide Field-of-View Imaging with Efficient Off-Axis Modeling and Encoding
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/96308127770?pwd=EPYwEx3OHCPhiFDRaY9mNKFvbrtYMA.1\nMeeting ID: 963 0812 7770\nPassword: 254774 \nAbstract\nComputational optics is emerging as a transformative field to overcome challenges in achieving high-fidelity imaging across wide fields of view (FoV). However\, existing methods struggle with computational inefficiency for simulating off-axis diffraction and maintaining imaging quality at wide-FoV due to limited wavefront control. In this seminar\, I will present two synergistic advances addressing these limitations. First\, I introduce a universal angular spectrum method with optimized least-sampling criteria for off-axis diffraction modeling. Experimental results demonstrate substantial acceleration in computational speed while enabling high accuracy for ultra-wide-angle diffraction simulations. Second\, I present an end-to-end optimized framework that synergizes optical engineering and computational algorithms to transcend prior wide-FoV imaging constraints. By strategically positioning diffractive optical elements off-aperture and integrating hybrid refractive-diffractive optics with decoding multi-task networks\, we prototype two compact cameras that demonstrate high-fidelity color and depth imaging in real indoor and outdoor scenes. \nSpeaker\nMiss Haoyu Wei\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \n Speaker’s Biography\nHaoyu Wei received the M.S. degree from the Dept. of Computer Science\, Northwestern University\, Evanston\, USA\, in 2021 and B.Eng. degree from the Dept. of Computer Science\, Sichuan University\, Chengdu\, in 2019. She is currently working towards the Ph.D. degree with Dept. of Electrical and Electronic Engineering\, The University of Hong Kong (HKU)\, Hong Kong\, supervised by Prof. Edmund Y. Lam and Dr. Evan Peng. Her research interests include deep imaging systems and numerical simulations. \nAll are welcome!
URL:https://ece.hku.hk/events/20250430-1/
LOCATION:Online via Zoom
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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