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Image appearance modeling

Mark D. Fairchild, Garrett M. Johnson, Bernice E. Rogowitz, Thrasyvoulos N. Pappas
2003 Human Vision and Electronic Imaging VIII  
Instead, a more revolutionary approach will be required to make appearance predictions for more complex stimuli in a wider array of viewing conditions.  ...  Traditional color appearance modeling has recently matured to the point that available, internationally-recommended models such as CIECAM02 are capable of making a wide range of predictions to within the  ...  Since it is appropriate to apply spatial filters in a linear-signal space, they are applied in a linear version of IPT prior to conversion into the non-linear version of IPT for appearance predictions.  ... 
doi:10.1117/12.477370 dblp:conf/hvei/FairchildJ03 fatcat:6vjgp7use5bwjl3h6skahytzmm

Real-time Adaptive Prediction Method for Smooth Haptic Rendering [article]

Xiyuan Hou, Olga Sourina
2016 arXiv   pre-print
In this paper, we propose a real-time adaptive prediction method to calculate smooth and accurate haptic feedback in complex scenarios.  ...  Smooth haptic feedback is an important task for haptic rendering with complex virtual objects.  ...  Fig. 1 . 1 Structure of the real-time adaptive prediction method for haptic rendering.  ... 
arXiv:1603.06674v1 fatcat:vk5jvacjlvbhtkqtatzw45cltu

iCAM framework for image appearance, differences, and quality

Mark D. Fairchild
2004 Journal of Electronic Imaging (JEI)  
Instead, a more revolutionary approach will be required to make appearance and difference predictions for more complex stimuli in a wider array of viewing conditions.  ...  Traditional color appearance modeling has recently matured to the point that available, internationally recommended models such as CIECAM02 are capable of making a wide range of predictions, to within  ...  to predict spatial frequency adaptation.  ... 
doi:10.1117/1.1635368 fatcat:kcfp66mmongddjzw5mb67sxlbu

iCAM06: A refined image appearance model for HDR image rendering

Jiangtao Kuang, Garrett M. Johnson, Mark D. Fairchild
2007 Journal of Visual Communication and Image Representation  
Evaluation of the model proved iCAM06 to have consistently good HDR rendering performance in both preference and accuracy making iCAM06 a good candidate for a general-purpose tone-mapping operator with  ...  in highlights and shadows, and functions that predict a wide range of color appearance phenomena.  ...  The rendering results were displayed on a colorimetric characterized 23inch Apple Cinema HD LCD Display with the maximum luminance of 180 cd/m 2 , on a gray background with a luminance of 20% of the adapting  ... 
doi:10.1016/j.jvcir.2007.06.003 fatcat:peeoi4danzaz5fklk6kgwv4qs4

Learning High Dynamic Range from Outdoor Panoramas [article]

Jinsong Zhang, Jean-François Lalonde
2017 arXiv   pre-print
We propose a deep autoencoder framework which regresses linear, high dynamic range data from non-linear, saturated, low dynamic range panoramas.  ...  We validate our method through a wide set of experiments on synthetic data, as well as on a novel dataset of real photographs with ground truth.  ...  We gratefully acknowledge the support of Nvidia with the donation of the GPUs used for this research.  ... 
arXiv:1703.10200v4 fatcat:zlqzkrlc3ja2dlpvt245liddza

Asymmetric color matching: how color appearance depends on the illuminant

David H. Brainard, Brian A. Wandell
1992 Optical Society of America. Journal A: Optics, Image Science, and Vision  
Subjects set asymmetric color matches between a standard object and a test object that were rendered under illuminants with different spectral power distributions.  ...  For the range of illuminants tested, we found that the change in the diagonal elements of the linear transformation was a linear function of the illuminant change.  ...  In two of the experimental phases we rendered the objects with the standard illuminant, and in the other two we rendered the objects with a test illuminant.  ... 
doi:10.1364/josaa.9.001433 pmid:1527647 fatcat:3wctvuxdofacjanu4zrnl2phtu

Recursive-NeRF: An Efficient and Dynamically Growing NeRF [article]

Guo-Wei Yang, Wen-Yang Zhou, Hao-Yang Peng, Dun Liang, Tai-Jiang Mu, Shi-Min Hu
2021 arXiv   pre-print
Recursive-NeRF is our embodiment of this idea, providing an efficient and adaptive rendering and training approach for NeRF.  ...  Only query coordinates with high uncertainties are forwarded to the next level to a bigger neural network with a more powerful representational capability.  ...  Overall, we recursively render (Sec. 4.4) the entire scene, with input coordinates entering different branches for network prediction based on previous clustering results.  ... 
arXiv:2105.09103v1 fatcat:zwm6shf425f5tc5nq5sxb5ywm4

Predictive Resource Management for Wearable Computing

Dushyanth Narayanan, M. Satyanarayanan
2003 Proceedings of the 1st international conference on Mobile systems, applications and services - MobiSys '03  
Predictive resource management can bound response latency and reduce its variability. & History-based prediction of resource demand is feasible, accurate, and necessary for this improvement. & Legacy applications  ...  In this paper we describe a solution based on multi-fidelity computation supported by predictive resource management.  ...  We use recursive least-squares regression with exponential decay [39], a modification of the well-known linear regression method [18] .  ... 
doi:10.1145/1066116.1189041 fatcat:2arrds2s6nd4zlbmfjmlaafdwu

Efficient depth map coding using linear residue approximation and a flexible prediction framework

Luis F. R. Lucas, Nuno M. M. Rodrigues, Carla L. Pagliari, Eduardo A. B. da Silva, Sergio M. M. de Faria
2012 2012 19th IEEE International Conference on Image Processing  
This algorithm is designed to encode sharp edges using a flexible dyadic block segmentation and hierarchical intra-prediction framework.  ...  The residual signal from this operation is aggregated into blocks which are approximated using linear modeling functions.  ...  Our approach takes advantage of an adaptive dyadic segmentation combined with hierarchical intra-prediction, that efficiently estimates both smooth regions and sharp edges, common in depth maps.  ... 
doi:10.1109/icip.2012.6467107 dblp:conf/icip/LucasRPSF12 fatcat:gymrwku755cbrolnwx66yz5sbm

Image appearance modeling and high-dynamic-range image rendering

Mark D. Fairchild, Garrett M. Johnson, Jiangtao Kuang, Hiroshi Yamaguchi
2004 Proceedings of the 1st Symposium on Applied perception in graphics and visualization - APGV '04  
Figure 1 : An example of an HDR digital image of the RIT color cube rendered using the iCAM image appearance model to simulate human perception of the scene and (inset) rendered linearly.  ...  Image appearance models have applications in rendering and visualization of image data, cross-media image and video reproduction, and image quality specification.  ...  Ideally the plot in Fig. 9 should indicate a linear growth in ΔIm as contrast changes in either direction from the standard at 0.00. The model predictions correlate with scaled contrast quite well.  ... 
doi:10.1145/1012551.1012593 dblp:conf/apgv/FairchildJKY04 fatcat:jwa4rtndfvdfdd554otrhbidsy

Aspects on Colour Rendering, Colour Prediction and Colour Control

Marianne Klaman
2003 Acta Graphica  
This article is based on a thesis work "Aspects on Colour Rendering, Colour Prediction and Colour Control in Printed Media" performed at the Royal Institute of Technology, KTH, in Stockholm.The following  ...  In Figure 6 an example of linear correlation between light source intensity with the values ranging from 0.4 to 0.6 and RGB values of renderings is presented.  ...  No specific rendering settings were used. With this scene, the composition of uniform lighting of the plain surface was achieved.  ... 
doaj:c461048ab34e4324903e1c4a8360520d fatcat:fgazfqwy3jc7bhjbr7ieb4oaj4

Smooth object state updates in distributed haptic virtual environments

Clemens Schuwerk, Eckehard Steinbach
2013 2013 IEEE International Symposium on Haptic Audio Visual Environments and Games (HAVE)  
Besides basic linear interpolation, we test two other methods from literature which are based on cubic polynomials.  ...  Our experimental evaluation, based on a pursuit-tracking task and pairwise comparisons, shows that linear interpolation performs better than the two cubic approaches and is subjectively preferred.  ...  Assuming a linear prediction at the client-side, the target position p 1 can be calculated with S 1 as p 1 = p 1 +v 1 t n . A.  ... 
doi:10.1109/have.2013.6679610 dblp:conf/have/SchuwerkS13 fatcat:k3ibaud7bfdyholuvbrf2mrwi4

An Adaptive Metric for BRDF Appearance Matching

James Bieron, Pieter Peers
2020 Eurographics Workshop on Material Appearance Modeling  
However, perceptual image metrics rely on image-features and thus require full resolution renderings that can be costly to produce especially when embedded in a non-linear search procedure for the optimal  ...  As the core of our adaptive metric is pixel-based, our method is amendable to imagesubsampling, thereby greatly reducing the computational cost.  ...  The majority of inverse rendering methods rely on a squared image difference metric in order to use fast linear or non-linear optimization methods often accompanied with hand-crafted regularization terms  ... 
doi:10.2312/mam.20201137 dblp:conf/mam/BieronP20 fatcat:psm5rbtjevbqtapqebg74vjao4

NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting [article]

Tiancheng Sun, Kai-En Lin, Sai Bi, Zexiang Xu, Ravi Ramamoorthi
2021 arXiv   pre-print
To this end, we present a system for portrait view synthesis and relighting: given multiple portraits, we use a neural network to predict the light-transport field in 3D space, and from the predicted Neural  ...  We show that by modulating the light transport prediction and applying our domain adaption method, our method can generalize well to real portraits with minimum color shift or artifacts.  ...  Our full model learns to predicts scales In addition, we show the effect of our domain adaptation module in Fig. 5 .  ... 
arXiv:2107.12351v1 fatcat:c3riri2ujvcmlayhrvpsx52ybi

Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool [article]

Tiange Xiang, Hongliang Yuan, Haozhi Huang, Yujin Shi
2021 arXiv   pre-print
In this paper, we tackle the problems in Monte Carlo rendering by proposing a two-stage denoiser based on the adaptive sampling strategy.  ...  In the first stage, concurrent to adjusting samples per pixel (spp) on-the-fly, we reuse the computations to generate extra denoising kernels applying on the adaptively rendered image.  ...  Average spp budget was set for adaptive sampling methods, while uniformly sampled images rendered with the same spp were fed to non-adaptive sampling methods.  ... 
arXiv:2103.16115v1 fatcat:zy3a3xoxsndixf6xnm3cbpedji
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