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Seeing Beyond Pixels: Holography's Mission to Craft the Ultimate Visual Experience
Seeing Beyond Pixels: Holography's Mission to Craft the Ultimate Visual Experience
Seeing Beyond Pixels: Holography's Mission to Craft the Ultimate Visual Experience

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20250211153032
ISBN  
9798346857105
DDC  
004
저자명  
Schiffers, Florian Andreas.
서명/저자  
Seeing Beyond Pixels: Holographys Mission to Craft the Ultimate Visual Experience
발행사항  
[Sl] : Northwestern University, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
306 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
주기사항  
Advisor: Cossairt, Oliver.
학위논문주기  
Thesis (Ph.D.)--Northwestern University, 2024.
초록/해제  
요약As VR and AR emerge as next-generation computing platforms, current display technologies face significant limitations that restrict viewer comfort and hinder broader adoption. A major challenge is the accommodation-vergence conflict, which makes it difficult to create virtual images that convincingly mimic real-world visuals. This thesis explores how holographic displays can overcome these fundamental limitations, addressing critical obstacles including the lack of algorithms for accurate 3D scene reconstruction with proper depth cues and motion parallax, trade-offs between field-of-view and viewing angle due to limited space-bandwidth product, and coherent speckle noise that significantly degrades perceptual quality. This thesis first establishes a theoretical framework for computational displays and then introduces HoloTorch, an open-source framework enabling rapid prototyping of holographic systems. Building on this foundation, we present several innovative solutions: Stochastic Light Field Holography ensures accurate 3D reconstruction with correct motion parallax by integrating coherent and incoherent light transport principles. We address spatially varying aberrations through a novel patch-wise convolution method, while the Hogel Basis Screen concept and etendue expansion techniques employ machine learning to ´ expand the effective space-bandwidth product. To address speckle noise, we develop two complementary approaches: MultiSource Holography, leveraging angular diversity in illumination, and HoloChrome, utilizing polychromatic illumination-both validated through rigorous simulations and experimental prototypes. These methods demonstrate substantial improvements while revealing trade-offs between image quality, computational complexity, and system design. The frameworks and implementations presented here provide a foundation for future research in computational displays and AI-assisted optical system design, bringing holographic displays closer to meeting the demanding requirements of consumer AR/VR applications.
일반주제명  
Computer science
일반주제명  
Optics
일반주제명  
Electrical engineering
키워드  
Computational displays
키워드  
Computational imaging
키워드  
Computer graphics
키워드  
Holography
키워드  
Computing platforms
기타저자  
Northwestern University Computer Science
기본자료저록  
Dissertations Abstracts International. 86-06B.
전자적 위치 및 접속  
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MARC

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■006m          o    d                
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■020    ▼a9798346857105
■035    ▼a(MiAaPQ)AAI31636141
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a004
■1001  ▼aSchiffers,  Florian  Andreas.▼0(orcid)0000-0003-3959-5163
■24510▼aSeeing  Beyond  Pixels:  Holography's  Mission  to  Craft  the  Ultimate  Visual  Experience
■260    ▼a[Sl]▼bNorthwestern  University▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a306  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-06,  Section:  B.
■500    ▼aAdvisor:  Cossairt,  Oliver.
■5021  ▼aThesis  (Ph.D.)--Northwestern  University,  2024.
■520    ▼aAs  VR  and  AR  emerge  as  next-generation  computing  platforms,  current  display  technologies  face  significant  limitations  that  restrict  viewer  comfort  and  hinder  broader  adoption.  A  major  challenge  is  the  accommodation-vergence  conflict,  which  makes  it  difficult  to  create  virtual  images  that  convincingly  mimic  real-world  visuals.  This  thesis  explores  how  holographic  displays  can  overcome  these  fundamental  limitations,  addressing  critical  obstacles  including  the  lack  of  algorithms  for  accurate  3D  scene  reconstruction  with  proper  depth  cues  and  motion  parallax,  trade-offs  between  field-of-view  and  viewing  angle  due  to  limited  space-bandwidth  product,  and  coherent  speckle  noise  that  significantly  degrades  perceptual  quality.  This  thesis  first  establishes  a  theoretical  framework  for  computational  displays  and  then  introduces  HoloTorch,  an  open-source  framework  enabling  rapid  prototyping  of  holographic  systems.  Building  on  this  foundation,  we  present  several  innovative  solutions:  Stochastic  Light  Field  Holography  ensures  accurate  3D  reconstruction  with  correct  motion  parallax  by  integrating  coherent  and  incoherent  light  transport  principles.  We  address  spatially  varying  aberrations  through  a  novel  patch-wise  convolution  method,  while  the  Hogel  Basis  Screen  concept  and  etendue  expansion  techniques  employ  machine  learning  to  ´  expand  the  effective  space-bandwidth  product.  To  address  speckle  noise,  we  develop  two  complementary  approaches:  MultiSource  Holography,  leveraging  angular  diversity  in  illumination,  and  HoloChrome,  utilizing  polychromatic  illumination-both  validated  through  rigorous  simulations  and  experimental  prototypes.  These  methods  demonstrate  substantial  improvements  while  revealing  trade-offs  between  image  quality,  computational  complexity,  and  system  design.  The  frameworks  and  implementations  presented  here  provide  a  foundation  for  future  research  in  computational  displays  and  AI-assisted  optical  system  design,  bringing  holographic  displays  closer  to  meeting  the  demanding  requirements  of  consumer  AR/VR  applications.
■590    ▼aSchool  code:  0163.
■650  4▼aComputer  science
■650  4▼aOptics
■650  4▼aElectrical  engineering
■653    ▼aComputational  displays
■653    ▼aComputational  imaging
■653    ▼aComputer  graphics
■653    ▼aHolography
■653    ▼aComputing  platforms
■690    ▼a0984
■690    ▼a0752
■690    ▼a0544
■71020▼aNorthwestern  University▼bComputer  Science.
■7730  ▼tDissertations  Abstracts  International▼g86-06B.
■790    ▼a0163
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164689▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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