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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
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TZOFFSETFROM:+0800
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DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030653Z
LOCATION:Meeting Room S423+S424\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251217T163000
DTEND;TZID=Asia/Hong_Kong:20251217T164000
UID:siggraphasia_SIGGRAPH Asia 2025_sess144_papers_1096@linklings.com
SUMMARY:Fovea Stacking: Imaging with Dynamic Localized Aberration Correcti
 on
DESCRIPTION:Shi Mao, Yogeshwar Nath Mishra, and Wolfgang Heidrich (King Ab
 dullah University of Science and Technology (KAUST))\n\nThe desire for cam
 eras with smaller form factors has recently led to a push for exploring co
 mputational imaging systems with reduced optical complexity such as a smal
 ler number of lens elements. Unfortunately such simplified optical systems
  usually  suffer from severe aberrations, especially in off-axis regions, 
  which can be difficult to correct purely in software.\n\nIn this paper we
  introduce Fovea Stacking, a new type of imaging system that utilizes an e
 merging dynamic optical component called the deformable phase plate (DPP) 
 for localized aberration correction anywhere on the image sensor.  By opti
 mizing DPP deformations through a differentiable optical model, off-axis a
 berrations are corrected locally, producing a foveated image with enhanced
  sharpness at the fixation point - analogous to the eye’s fovea. Stacking 
 multiple such foveated images, each with a different fixation point, yield
 s a composite image free from aberrations. To efficiently cover the entire
  field of view, we propose joint optimization of DPP deformations under im
 aging budget constraints. Due to the DPP device's non-linear behavior, we 
 introduce a neural network-based control model for improved agreement betw
 een simulation and hardware performance.\n\nWe further demonstrated that f
 or extended depth-of-field imaging, Fovea Stacking outperforms traditional
  focus stacking in image quality. By integrating object detection or eye-t
 racking, the system can dynamically adjust the lens to track the object of
  interest-enabling real-time foveated video suitable for downstream applic
 ations such as surveillance or foveated virtual reality displays.\n\nRegis
 tration Category: Full Access, Full Access Supporter\n\nSession Chair: Seu
 ng-Hwan Baek (POSTECH)\n\n
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