SlideShare a Scribd company logo
1 of 21
Download to read offline
A NOVEL APPROACH FOR MULTI-VIEW 3D HDR CONTENT GENERATION
VIA DEPTH ADAPTIVE CROSS TRILATERAL TONE MAPPING
Mansi Sharma1
, M. S. Venkatesh2
, Gowtham Ragavan3
, Rohan Lal4
Indian Institute of Technology Madras1,3,4
Indian Institute of Technology Delhi2
Wednesday, 11 December 2019
Multi-view High Dynamic Range Imaging
● Offer HDR Depth-contrast and Stereo Personalization in 3D Display
Technologies
● Multi-user and Personalized HDR Stereo 3D Display Applications
● Increased Realism and “3D-ness”
- depth-from-HDR effect reproducible in LDR conditions
● Scene parameterization
- MPEG standardized multi-view video-plus-depth & DIBR
- Future proofed for existing and emerging 3D multi-view video formats
- Compatible with 2D TV, stereoscopic, multi-view, or eye-tracking displays
Multi-view Multi-exposure HDR Imaging
CAMERA 1 CAMERA 2 CAMERA 3
Exposure 0.25ms Exposure 1ms Exposure 4ms
Main Contributions
● A novel depth-image-based rendering scheme for multi-view 3D HDR content
generation.
● A new HDR tone mapping operator based on depth-adaptive cross-trilateral filter.
- Recover 3D HDR images from multiple LDR images captured at different exposure levels
- Explicitly leverage additional depth information in the tone mapping operation
- Tone mapping process for the realistic display of 3D HDR images
- Preserve detail visibility changes
- Preserve edges and reduce halo artifacts in the synthesized LDR 3D views
DIBR-based Production Workflow for 3D HDR Content
Generation
Generalized Tone Mapping
EXP
L
O
G
DETAIL
REMOVING
FILTER
HDR IMAGE
LDR
IMAGE
-
× +BASE
DETAIL
COMPRESSION
Proposed Depth-adaptive Cross-trilateral Filter
Proposed Depth-adaptive Cross-trilateral Filter
Comparison of Extracted Base Layer
Bilateral Filtering
Frédo Durand and Julie Dorsey. 2002. Fast bilateral filtering for the display of
high-dynamic-range images. ACM Trans. Graph. 21, 3 (July 2002), 257-266.
Comparison of Extracted Base Layer
Proposed Depth-adaptive Cross-trilateral Filter
Distribution of Intensity & Depth on Doll dataset
Response of Filters on Doll dataset
Response of Depth-adaptive Cross-trilateral Filter on Doll
Dataset
Comparison of Proposed Tone Mapping
Frédo Durand and Julie Dorsey. 2002. Fast bilateral filtering for the display of
high-dynamic-range images. ACM Trans. Graph. 21, 3 (July 2002), 257-266.
PROPOSED
Durand
& Julie Halo Artifacts
Reduced
Comparison of Rendered 3D HDR Content
Frédo Durand and Julie Dorsey. 2002. Fast bilateral filtering for the display of
high-dynamic-range images. ACM Trans. Graph. 21, 3 (July 2002), 257-266.
Durand
& Julie
Comparison of Rendered 3D HDR Content
PROPOSED
Halo Artifacts
Reduced
More Results
No Reference Quality Assessment
Kundu et al. No-Reference Quality Assessment of Tone-Mapped HDR Pictures. in IEEE TIP,
26(6), pp. 2957-2971, 2017.
Conclusion
● First-of-its-kind Scheme
- Makes use of MVD with 3D HDR content creation
● End-to-end rendering pipeline
- New depth-adaptive tone mapping operator
● Design a display-invariant 3D TV HDR content production pipeline
● Future Work
- Glossy, reflective, reflection materials
- Issue of saturated regions in one camera
- Effects of specular highlights following normal stereoscopic geometry
Applications
● Stereoscopic 3DTV/VR HMDs
● Parallax Barrier/Lenticular based 3D Displays
● Multi-view 3D Displays
● Light Field HDR Tone Mapping
THANK YOU
Wednesday, 11 December 2019

More Related Content

Similar to A Novel Approach for Multi-view 3D HDR Content Generation via Depth Adaptive Cross Trilateral Tone Mapping

A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural S...
A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural S...A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural S...
A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural S...Mansi Sharma
 
Iaetsd a novel approach to assess the quality of tone mapped
Iaetsd a novel approach to assess the quality of tone mappedIaetsd a novel approach to assess the quality of tone mapped
Iaetsd a novel approach to assess the quality of tone mappedIaetsd Iaetsd
 
2017 ASPRS-RMR Big Data Track: Practical Considerations and Uses of USGS 3DEP...
2017 ASPRS-RMR Big Data Track: Practical Considerations and Uses of USGS 3DEP...2017 ASPRS-RMR Big Data Track: Practical Considerations and Uses of USGS 3DEP...
2017 ASPRS-RMR Big Data Track: Practical Considerations and Uses of USGS 3DEP...GIS in the Rockies
 
Real-Time Volumetric Tests (EG 2008)
Real-Time Volumetric Tests (EG 2008)Real-Time Volumetric Tests (EG 2008)
Real-Time Volumetric Tests (EG 2008)Matthias Trapp
 
High Dynamic Range Imaging- A Review
High Dynamic Range Imaging- A ReviewHigh Dynamic Range Imaging- A Review
High Dynamic Range Imaging- A ReviewCSCJournals
 
GHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGING
GHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGINGGHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGING
GHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGINGijcga
 
Ghost and Noise Removal in Exposure Fusion for High Dynamic Range Imaging
Ghost and Noise Removal in Exposure Fusion for High Dynamic Range ImagingGhost and Noise Removal in Exposure Fusion for High Dynamic Range Imaging
Ghost and Noise Removal in Exposure Fusion for High Dynamic Range Imagingijcga
 
IRJET- A Novel Hybrid Image Denoising Technique based on Trilateral Filtering...
IRJET- A Novel Hybrid Image Denoising Technique based on Trilateral Filtering...IRJET- A Novel Hybrid Image Denoising Technique based on Trilateral Filtering...
IRJET- A Novel Hybrid Image Denoising Technique based on Trilateral Filtering...IRJET Journal
 
Human-Computer Interactive Systems
Human-Computer Interactive SystemsHuman-Computer Interactive Systems
Human-Computer Interactive SystemsVertigo4
 
COMPARISION OF TONE-MAPPING ALGORITHM BASED ON STRUCTURAL FIDELITY AND STATIS...
COMPARISION OF TONE-MAPPING ALGORITHM BASED ON STRUCTURAL FIDELITY AND STATIS...COMPARISION OF TONE-MAPPING ALGORITHM BASED ON STRUCTURAL FIDELITY AND STATIS...
COMPARISION OF TONE-MAPPING ALGORITHM BASED ON STRUCTURAL FIDELITY AND STATIS...Sumadeep Juvvalapalem
 
2016 asprs track: overview and user perspective of usgs 3 dep lidar by john ...
2016 asprs track:  overview and user perspective of usgs 3 dep lidar by john ...2016 asprs track:  overview and user perspective of usgs 3 dep lidar by john ...
2016 asprs track: overview and user perspective of usgs 3 dep lidar by john ...GIS in the Rockies
 
Depth Fusion from RGB and Depth Sensors III
Depth Fusion from RGB and Depth Sensors  IIIDepth Fusion from RGB and Depth Sensors  III
Depth Fusion from RGB and Depth Sensors IIIYu Huang
 
IIRS_CRP Report by Parth Gondaliya and Huzaifa Ansari
IIRS_CRP Report by Parth Gondaliya and Huzaifa AnsariIIRS_CRP Report by Parth Gondaliya and Huzaifa Ansari
IIRS_CRP Report by Parth Gondaliya and Huzaifa AnsariPARTH GONDALIYA
 
Depth Fusion from RGB and Depth Sensors II
Depth Fusion from RGB and Depth Sensors IIDepth Fusion from RGB and Depth Sensors II
Depth Fusion from RGB and Depth Sensors IIYu Huang
 
Master Thesis of Computer Engineering SuperResoluton Giuseppe Caliendo
Master Thesis of Computer Engineering SuperResoluton Giuseppe CaliendoMaster Thesis of Computer Engineering SuperResoluton Giuseppe Caliendo
Master Thesis of Computer Engineering SuperResoluton Giuseppe CaliendoGiuseppeCaliendo2
 
Parallel Processing for Digital Image Enhancement
Parallel Processing for Digital Image EnhancementParallel Processing for Digital Image Enhancement
Parallel Processing for Digital Image EnhancementNora Youssef
 
Digital Elevation Models
Digital Elevation ModelsDigital Elevation Models
Digital Elevation ModelsBernd Flmla
 

Similar to A Novel Approach for Multi-view 3D HDR Content Generation via Depth Adaptive Cross Trilateral Tone Mapping (20)

A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural S...
A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural S...A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural S...
A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural S...
 
Iaetsd a novel approach to assess the quality of tone mapped
Iaetsd a novel approach to assess the quality of tone mappedIaetsd a novel approach to assess the quality of tone mapped
Iaetsd a novel approach to assess the quality of tone mapped
 
2017 ASPRS-RMR Big Data Track: Practical Considerations and Uses of USGS 3DEP...
2017 ASPRS-RMR Big Data Track: Practical Considerations and Uses of USGS 3DEP...2017 ASPRS-RMR Big Data Track: Practical Considerations and Uses of USGS 3DEP...
2017 ASPRS-RMR Big Data Track: Practical Considerations and Uses of USGS 3DEP...
 
Real-Time Volumetric Tests (EG 2008)
Real-Time Volumetric Tests (EG 2008)Real-Time Volumetric Tests (EG 2008)
Real-Time Volumetric Tests (EG 2008)
 
High Dynamic Range Imaging- A Review
High Dynamic Range Imaging- A ReviewHigh Dynamic Range Imaging- A Review
High Dynamic Range Imaging- A Review
 
GHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGING
GHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGINGGHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGING
GHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGING
 
Ghost and Noise Removal in Exposure Fusion for High Dynamic Range Imaging
Ghost and Noise Removal in Exposure Fusion for High Dynamic Range ImagingGhost and Noise Removal in Exposure Fusion for High Dynamic Range Imaging
Ghost and Noise Removal in Exposure Fusion for High Dynamic Range Imaging
 
IRJET- A Novel Hybrid Image Denoising Technique based on Trilateral Filtering...
IRJET- A Novel Hybrid Image Denoising Technique based on Trilateral Filtering...IRJET- A Novel Hybrid Image Denoising Technique based on Trilateral Filtering...
IRJET- A Novel Hybrid Image Denoising Technique based on Trilateral Filtering...
 
Human-Computer Interactive Systems
Human-Computer Interactive SystemsHuman-Computer Interactive Systems
Human-Computer Interactive Systems
 
COMPARISION OF TONE-MAPPING ALGORITHM BASED ON STRUCTURAL FIDELITY AND STATIS...
COMPARISION OF TONE-MAPPING ALGORITHM BASED ON STRUCTURAL FIDELITY AND STATIS...COMPARISION OF TONE-MAPPING ALGORITHM BASED ON STRUCTURAL FIDELITY AND STATIS...
COMPARISION OF TONE-MAPPING ALGORITHM BASED ON STRUCTURAL FIDELITY AND STATIS...
 
2016 asprs track: overview and user perspective of usgs 3 dep lidar by john ...
2016 asprs track:  overview and user perspective of usgs 3 dep lidar by john ...2016 asprs track:  overview and user perspective of usgs 3 dep lidar by john ...
2016 asprs track: overview and user perspective of usgs 3 dep lidar by john ...
 
Depth Fusion from RGB and Depth Sensors III
Depth Fusion from RGB and Depth Sensors  IIIDepth Fusion from RGB and Depth Sensors  III
Depth Fusion from RGB and Depth Sensors III
 
IIRS_CRP Report by Parth Gondaliya and Huzaifa Ansari
IIRS_CRP Report by Parth Gondaliya and Huzaifa AnsariIIRS_CRP Report by Parth Gondaliya and Huzaifa Ansari
IIRS_CRP Report by Parth Gondaliya and Huzaifa Ansari
 
Depth Fusion from RGB and Depth Sensors II
Depth Fusion from RGB and Depth Sensors IIDepth Fusion from RGB and Depth Sensors II
Depth Fusion from RGB and Depth Sensors II
 
W4101139143
W4101139143W4101139143
W4101139143
 
PhD_ppt_2012
PhD_ppt_2012PhD_ppt_2012
PhD_ppt_2012
 
Master Thesis of Computer Engineering SuperResoluton Giuseppe Caliendo
Master Thesis of Computer Engineering SuperResoluton Giuseppe CaliendoMaster Thesis of Computer Engineering SuperResoluton Giuseppe Caliendo
Master Thesis of Computer Engineering SuperResoluton Giuseppe Caliendo
 
Parallel Processing for Digital Image Enhancement
Parallel Processing for Digital Image EnhancementParallel Processing for Digital Image Enhancement
Parallel Processing for Digital Image Enhancement
 
Slope Modeling & Terrain Analysis (EPAN09)
Slope Modeling & Terrain Analysis (EPAN09)Slope Modeling & Terrain Analysis (EPAN09)
Slope Modeling & Terrain Analysis (EPAN09)
 
Digital Elevation Models
Digital Elevation ModelsDigital Elevation Models
Digital Elevation Models
 

Recently uploaded

AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAnitaRaj43
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMKumar Satyam
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamUiPathCommunity
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
API Governance and Monetization - The evolution of API governance
API Governance and Monetization -  The evolution of API governanceAPI Governance and Monetization -  The evolution of API governance
API Governance and Monetization - The evolution of API governanceWSO2
 
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceDecarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceIES VE
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 

Recently uploaded (20)

AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
API Governance and Monetization - The evolution of API governance
API Governance and Monetization -  The evolution of API governanceAPI Governance and Monetization -  The evolution of API governance
API Governance and Monetization - The evolution of API governance
 
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceDecarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

A Novel Approach for Multi-view 3D HDR Content Generation via Depth Adaptive Cross Trilateral Tone Mapping

  • 1. A NOVEL APPROACH FOR MULTI-VIEW 3D HDR CONTENT GENERATION VIA DEPTH ADAPTIVE CROSS TRILATERAL TONE MAPPING Mansi Sharma1 , M. S. Venkatesh2 , Gowtham Ragavan3 , Rohan Lal4 Indian Institute of Technology Madras1,3,4 Indian Institute of Technology Delhi2 Wednesday, 11 December 2019
  • 2. Multi-view High Dynamic Range Imaging ● Offer HDR Depth-contrast and Stereo Personalization in 3D Display Technologies ● Multi-user and Personalized HDR Stereo 3D Display Applications ● Increased Realism and “3D-ness” - depth-from-HDR effect reproducible in LDR conditions ● Scene parameterization - MPEG standardized multi-view video-plus-depth & DIBR - Future proofed for existing and emerging 3D multi-view video formats - Compatible with 2D TV, stereoscopic, multi-view, or eye-tracking displays
  • 3. Multi-view Multi-exposure HDR Imaging CAMERA 1 CAMERA 2 CAMERA 3 Exposure 0.25ms Exposure 1ms Exposure 4ms
  • 4. Main Contributions ● A novel depth-image-based rendering scheme for multi-view 3D HDR content generation. ● A new HDR tone mapping operator based on depth-adaptive cross-trilateral filter. - Recover 3D HDR images from multiple LDR images captured at different exposure levels - Explicitly leverage additional depth information in the tone mapping operation - Tone mapping process for the realistic display of 3D HDR images - Preserve detail visibility changes - Preserve edges and reduce halo artifacts in the synthesized LDR 3D views
  • 5. DIBR-based Production Workflow for 3D HDR Content Generation
  • 6. Generalized Tone Mapping EXP L O G DETAIL REMOVING FILTER HDR IMAGE LDR IMAGE - × +BASE DETAIL COMPRESSION
  • 9. Comparison of Extracted Base Layer Bilateral Filtering Frédo Durand and Julie Dorsey. 2002. Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans. Graph. 21, 3 (July 2002), 257-266.
  • 10. Comparison of Extracted Base Layer Proposed Depth-adaptive Cross-trilateral Filter
  • 11. Distribution of Intensity & Depth on Doll dataset
  • 12. Response of Filters on Doll dataset
  • 13. Response of Depth-adaptive Cross-trilateral Filter on Doll Dataset
  • 14. Comparison of Proposed Tone Mapping Frédo Durand and Julie Dorsey. 2002. Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans. Graph. 21, 3 (July 2002), 257-266. PROPOSED Durand & Julie Halo Artifacts Reduced
  • 15. Comparison of Rendered 3D HDR Content Frédo Durand and Julie Dorsey. 2002. Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans. Graph. 21, 3 (July 2002), 257-266. Durand & Julie
  • 16. Comparison of Rendered 3D HDR Content PROPOSED Halo Artifacts Reduced
  • 18. No Reference Quality Assessment Kundu et al. No-Reference Quality Assessment of Tone-Mapped HDR Pictures. in IEEE TIP, 26(6), pp. 2957-2971, 2017.
  • 19. Conclusion ● First-of-its-kind Scheme - Makes use of MVD with 3D HDR content creation ● End-to-end rendering pipeline - New depth-adaptive tone mapping operator ● Design a display-invariant 3D TV HDR content production pipeline ● Future Work - Glossy, reflective, reflection materials - Issue of saturated regions in one camera - Effects of specular highlights following normal stereoscopic geometry
  • 20. Applications ● Stereoscopic 3DTV/VR HMDs ● Parallax Barrier/Lenticular based 3D Displays ● Multi-view 3D Displays ● Light Field HDR Tone Mapping
  • 21. THANK YOU Wednesday, 11 December 2019