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Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields [article]

Numair Khan, Min H. Kim, James Tompkin
2021 arXiv   pre-print
We present an algorithm to estimate fast and accurate depth maps from light fields via a sparse set of depth edges and gradients.  ...  This resolves the ambiguity of which surface the edge belongs to and reliably separates depth from texture edges, allowing us to diffuse the sparse set in a depth-edge and occlusion-aware manner to obtain  ...  Acknowledgments Numair acknowledges an Andy van Dam PhD Fellowship, and James acknowledges a gift from Cognex. Min H. Kim acknowledges the support of Korea NRF grant (2019R1A2C3007229)  ... 
arXiv:2107.02967v1 fatcat:vywlluf7qbhl3gupyuubzuaodq

Dense Wide-Baseline Scene Flow from Two Handheld Video Cameras

Christian Richardt, Hyeongwoo Kim, Levi Valgaerts, Christian Theobalt
2016 2016 Fourth International Conference on 3D Vision (3DV)  
We propose a new technique for computing dense scene flow from two handheld videos with wide camera baselines and different photometric properties due to different sensors or camera settings like exposure  ...  We then detect and replace occluded pixels in the correspondence fields using a novel edge-preserving Laplacian correspondence completion technique.  ...  Figure 3 .Figure 4 . 34 Our Laplacian occlusion filling preserves images edges in the filled flow fields better than a simple diffusion fill.  ... 
doi:10.1109/3dv.2016.36 dblp:conf/3dim/RichardtKVT16 fatcat:tbnfe27g45ervochzivraxjpem

Dense Wide-Baseline Scene Flow From Two Handheld Video Cameras [article]

Christian Richardt, Hyeongwoo Kim, Levi Valgaerts, Christian Theobalt
2016 arXiv   pre-print
We propose a new technique for computing dense scene flow from two handheld videos with wide camera baselines and different photometric properties due to different sensors or camera settings like exposure  ...  We then detect and replace occluded pixels in the correspondence fields using a novel edge-preserving Laplacian correspondence completion technique.  ...  Figure 3 .Figure 4 . 34 Our Laplacian occlusion filling preserves images edges in the filled flow fields better than a simple diffusion fill.  ... 
arXiv:1609.05115v1 fatcat:pll2sifdqrftljxsx3gsrsl65m

Deep Surface Light Fields

Anpei Chen, Minye Wu, Yingliang Zhang, Nianyi Li, Jie Lu, Shenghua Gao, Jingyi Yu
2018 Proceedings of the ACM on Computer Graphics and Interactive Techniques  
A surface light field represents the radiance of rays originating from any points on the surface in any directions.  ...  For real data, we address the image registration problem as well as conduct texture-aware remeshing for aligning texture edges with vertices to avoid blurring.  ...  We also conduct texture-aware remeshing for aligning texture edges with vertices to avoid blurring.  ... 
doi:10.1145/3203192 dblp:journals/pacmcgit/ChenWZLLGY18 fatcat:iatqwhbq3jfo3ivytjnitff7la

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Workshop: Selection of Temporally Dithered Codes for Increasing Virtual Depth of Field in Structured Light Systems Garvin, Mona Simultaneous Searching of Globally Optimal Interacting Surfaces with  ...  Light Field for Curved Mirrors: Reflect Your Perspective, Widen Your View Optimal Coded Sampling for Temporal Super-Resolution Demo: A Practical and Robust System for Object Detection and Pose Estimation  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

Consistent Depth Prediction under Various Illuminations using Dilated Cross Attention [article]

Zitian Zhang, Chuhua Xian
2021 arXiv   pre-print
The existing indoor datasets based on RGB-D sensors or virtual rendering have two critical limitations - sparse depth maps (NYU Depth V2) and non-realistic illumination (SUN CG, SceneNet RGB-D).  ...  We propose to use internet 3D indoor scenes and manually tune their illuminations to render photo-realistic RGB photos and their corresponding depth and BRDF maps, obtaining a new indoor depth dataset  ...  LapDepth [28] merged the Laplacian pyramid into the decoder and combined the outputs of this pyramid for dense depth prediction from coarse to fine.  ... 
arXiv:2112.08006v1 fatcat:dz2672v2r5f55l35f7lhxfpblq

Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering

M. Zwicker, W. Jarosz, J. Lehtinen, B. Moon, R. Ramamoorthi, F. Rousselle, P. Sen, C. Soler, S.-E. Yoon
2015 Computer graphics forum (Print)  
However, the visual quality of rendered images often suffers from estimator variance, which appears as visually distracting noise.  ...  We distinguish between "a priori" methods that analyze the light transport equations and derive sampling rates and reconstruction filters from this analysis, and "a posteriori" methods that apply statistical  ...  Acknowledgments We would like to thank the following persons and institutes for making 3D 143886.  ... 
doi:10.1111/cgf.12592 fatcat:yejby37itfeg5mzo4w5adtnjxa

Depth map artifacts reduction: a review

Mostafa Ibrahim, Qiong Liu, Rizwan Khan, Jingyu Yang, Ehsan Adeli, You Yang
2020 IET Image Processing  
Usually, depth maps can be acquired via various devices, including Time of Flight, Kinect or light field camera, in practical applications.  ...  Depth maps are crucial for many visual applications, where they represent the positioning information of the objects in a three-dimensional scene.  ...  [132] propose a generative model for continuous depth estimation from light field.  ... 
doi:10.1049/iet-ipr.2019.1622 fatcat:fe5szwvvprdspptvsviw2e4dym

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 4568-4582 Unsupervised Monocular Depth Estimation From Light Field Image.  ...  Wang, L., +, TIP 2020 9345-9359 Unsupervised Monocular Depth Estimation From Light Field Image.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Table of contents

2020 IEEE Transactions on Image Processing  
Rajagopalan 2478 Fast and Accurate Depth Estimation From Sparse Light Fields .............. A. Chuchvara, A. Barsi, and A.  ...  Bovik 4219 Fast Depth Estimation for Light Field Cameras .................................................................... K.  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

Depth Estimation of Semi-submerged Objects Using a Light-Field Camera

Juehui Fan, Yee-Hong Yang
2017 2017 14th Conference on Computer and Robot Vision (CRV)  
Existing hand-held consumer light field cameras are well-suited for automated refocusing, depth detection in outdoor environment.  ...  In this thesis, we present a new algorithm to estimate depth of real-world scenes containing an object semi-submerged in water using a light field camera.  ...  In [24] , they use bidirectional photo-consistency to differentiate texture edges from silhouette edges in order to propagate depth information to low-gradient regions.  ... 
doi:10.1109/crv.2017.44 dblp:conf/crv/FanY17 fatcat:g55ii3oh6nhingqb7l6zrssqd4

A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond [article]

Elena Garces, Carlos Rodriguez-Pardo, Dan Casas, Jorge Lopez-Moreno
2021 arXiv   pre-print
the image formation process, that is, optically accurate material models and geometry, and more complete inverse light transport estimations.  ...  Although the Lambertian assumption is still a foundational basis for many methods, we show that there is increasing awareness on the potential of more sophisticated physically-principled components of  ...  latter can be derived from the far field illumination, by simulating the local secondary light bounces.  ... 
arXiv:2112.03842v1 fatcat:ciwwxoodq5fl7ma4jqjrgp7k5m

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TIP 2021 546-558 A Lightweight Depth Estimation Network for Wide-Baseline Light Fields.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TMM 2021 1136-1147 From Edge to Keypoint: An End-to-End Framework For Indoor Layout Estimation.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Geometry-aware scattering compensation for 3D printing

Denis Sumin, Tim Weyrich, Tobias Rittig, Vahid Babaei, Thomas Nindel, Alexander Wilkie, Piotr Didyk, Bernd Bickel, Jaroslav Křivánek, Karol Myszkowski
2019 ACM Transactions on Graphics  
In addition, we propose a content-aware gamut mapping that significantly improves color reproduction for the pathological case of thin geometric features.  ...  Our method enables high-fidelity color texture reproduction on 3D prints by effectively compensating for internal light scattering within arbitrarily shaped objects.  ...  ) and CMPLab (Yellow Vase) for the models and the reviewers for their valuable feedback.  ... 
doi:10.1145/3306346.3322992 fatcat:sijfwvet5bgqnb3qcxkle2xfpa
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