作者: 使饑餓 時間: 2025-3-21 20:41
Loss and Care: Asian Australian Documentarypre-completion and outliers removal, etc. Experiments demonstrate that our approach achieves state-of-the-art performance for the noisy image completion problem in terms of both PSNR and subjective visual quality.作者: 法律的瑕疵 時間: 2025-3-22 02:56 作者: 欲望 時間: 2025-3-22 07:28 作者: TAG 時間: 2025-3-22 10:41 作者: 擦掉 時間: 2025-3-22 16:50
The Dogaressa of Venice, 1200-1500ian face method with the learned face prior can handle the complex intra-personal variations such as large poses and large occlusions. Experiments on the challenging LFW benchmark shows that our algorithm outperforms most of the state-of-art methods.作者: 擦掉 時間: 2025-3-22 21:03 作者: FLASK 時間: 2025-3-23 00:02
The Base and the Superstructure of Societybases have demonstrated that the FDM outperforms the state-of-the-art methods for facial expression analysis. More importantly, the FDM achieves an impressive performance in a cross-database validation, which demonstrates the generalization capability of the selected features.作者: 幸福愉悅感 時間: 2025-3-23 02:42
,Two Tiers — and a Black Market,equency details from example scenes. Combining these two key strategies we can qualitatively and quantitatively outperform leading generic non-blind deconvolution methods when context-appropriate example images are available. We also compare to recent work which, like ours, tries to make use of cont作者: albuminuria 時間: 2025-3-23 08:38
Schwarps: Locally Projective Image Warps Based on 2D Schwarzian DerivativesD functions using differential properties of homographies. We name as Schwarp a warp which is estimated by penalizing the residual of Schwarzian equations. Experimental evaluation shows that Schwarps outperform existing warps in modeling and extrapolation power, and lead to far better results in Sha作者: Acupressure 時間: 2025-3-23 12:47
A Non-local Method for Robust Noisy Image Completionpre-completion and outliers removal, etc. Experiments demonstrate that our approach achieves state-of-the-art performance for the noisy image completion problem in terms of both PSNR and subjective visual quality.作者: Landlocked 時間: 2025-3-23 16:47
Improved Motion Invariant Deblurring through Motion Estimationobject motion .. With real camera images, we demonstrate significant reductions in the artifacts by using the estimated motion for deblurring. We also quantify a 96% reduction in reconstruction error, relative to a floor established by exact PSF deconvolution, via simulation with a large test set of作者: Aviary 時間: 2025-3-23 19:38
Consistent Matting for Light Field Imageses were obtained by using the blue screen technique. A variety of experiments show that our proposed algorithm produces both visually and quantitatively high-quality matting results for light field images.作者: 責任 時間: 2025-3-24 00:50
Consensus of Regression for Occlusion-Robust Facial Feature Localizationoverlapping occlusion regions. After localization, the occlusion state for each landmark point is estimated using a Gaussian MRF semi-supervised learning method. Experiments on both non-occluded and occluded face databases demonstrate that our approach achieves consistently better results over state作者: DAMP 時間: 2025-3-24 03:01
Learning the Face Prior for Bayesian Face Recognitionian face method with the learned face prior can handle the complex intra-personal variations such as large poses and large occlusions. Experiments on the challenging LFW benchmark shows that our algorithm outperforms most of the state-of-art methods.作者: Insulin 時間: 2025-3-24 08:44
Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsityion datasets that include spontaneous behavior and differ in degree of difficulty and type of ground truth coding. KSS outperformed both sparse and non-sparse methods that utilize complex image features and their temporal extensions. In the case of early facial event classification KSS had 10% highe作者: 不適 時間: 2025-3-24 11:04
Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Exbases have demonstrated that the FDM outperforms the state-of-the-art methods for facial expression analysis. More importantly, the FDM achieves an impressive performance in a cross-database validation, which demonstrates the generalization capability of the selected features.作者: Memorial 時間: 2025-3-24 15:24 作者: 淘氣 時間: 2025-3-24 21:07
Learning a Deep Convolutional Network for Image Super-Resolutionke traditional methods that handle each component separately, our method jointly optimizes all layers. Our deep CNN has a lightweight structure, yet demonstrates state-of-the-art restoration quality, and achieves fast speed for practical on-line usage.作者: 假裝是我 時間: 2025-3-24 23:44 作者: 不自然 時間: 2025-3-25 06:33
https://doi.org/10.1057/9780230251113 the cost function. The order of the polynomial system that we solve is independent of the number of points, allowing our overall approach to scale favorably. We evaluate our method experimentally on synthetic and real datasets and demonstrate that our methods produce higher accuracy similarity transform solutions than existing methods.作者: 動物 時間: 2025-3-25 11:25 作者: 灰姑娘 時間: 2025-3-25 14:04 作者: Indicative 時間: 2025-3-25 18:13 作者: 推延 時間: 2025-3-25 21:53 作者: installment 時間: 2025-3-26 00:21 作者: helper-T-cells 時間: 2025-3-26 04:45 作者: LUDE 時間: 2025-3-26 10:33
Image Deconvolution Ringing Artifact Detection and Removal via PSF Frequency Analysisse steps we are able to significantly enhance the quality of the deblurred images produced by deconvolution algorithms. Our numerical evaluations using a ringing artifact metric indicate the effectiveness of the proposed deringing method.作者: 期滿 時間: 2025-3-26 14:59
Conference proceedings 2014014, held in Zurich, Switzerland, in September 2014..The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature 作者: cumulative 時間: 2025-3-26 18:18 作者: Dysarthria 時間: 2025-3-26 22:56 作者: GAVEL 時間: 2025-3-27 04:39
Trade in Services and the Doha Round,g structure for EPLL, and overcome its training tractability challenges in high-dimensional spaces by utilizing special structures of the prior. Experimental results show that our approach accelerates state-of-the-art EPLL-based deconvolution methods by up to 40 times, with very little quality compromise.作者: 流浪 時間: 2025-3-27 08:58 作者: 脆弱么 時間: 2025-3-27 09:52 作者: 莊嚴 時間: 2025-3-27 17:13 作者: Isolate 時間: 2025-3-27 20:54
Discriminative Indexing for Probabilistic Image Patch Priorsg structure for EPLL, and overcome its training tractability challenges in high-dimensional spaces by utilizing special structures of the prior. Experimental results show that our approach accelerates state-of-the-art EPLL-based deconvolution methods by up to 40 times, with very little quality compromise.作者: QUAIL 時間: 2025-3-27 23:59
View-Consistent 3D Scene Flow Estimation over Multiple Framesistent multi-frame scheme greatly improves scene flow computation in the presence of occlusions, and increases its robustness against adverse imaging conditions, such as specularities. Our method currently achieves leading performance on the KITTI benchmark, for both flow and stereo.作者: Condyle 時間: 2025-3-28 03:31 作者: 評論者 時間: 2025-3-28 08:01
Trade in Agriculture and the Doha Round,ke traditional methods that handle each component separately, our method jointly optimizes all layers. Our deep CNN has a lightweight structure, yet demonstrates state-of-the-art restoration quality, and achieves fast speed for practical on-line usage.作者: Exuberance 時間: 2025-3-28 13:58
0302-9743 on, ECCV 2014, held in Zurich, Switzerland, in September 2014..The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion an作者: 泥瓦匠 時間: 2025-3-28 15:38
Schwarps: Locally Projective Image Warps Based on 2D Schwarzian Derivativesrp’s smoothness is to penalize its second order partial derivatives. Because this favors locally affine warps, this fails to capture the local projective component of the image deformation. This may have a negative impact on applications such as image registration and deformable 3D reconstruction. W作者: 過份好問 時間: 2025-3-28 18:57 作者: Obituary 時間: 2025-3-28 23:01
Generalized Connectivity Constraints for Spatio-temporal 3D Reconstructions by precomputing a geodesic shortest path tree on the occupancy likelihood. Connectivity of the final occupancy labeling is ensured with a set of linear constraints on the labeling function. In order to generalize the connectivity constraints from objects with genus 0 to an arbitrary genus, we dete作者: UTTER 時間: 2025-3-29 05:04
Passive Tomography of Turbulence Strengthcal measure of local variations in the turbulent medium. It influences engineering decisions made in these domains. Turbulence strength (TS) also affects safety of aircraft and tethered balloons, and reliability of free-space electromagnetic relays. We show that it is possible to estimate TS, withou作者: 最后一個 時間: 2025-3-29 10:50 作者: jagged 時間: 2025-3-29 13:40
Improved Motion Invariant Deblurring through Motion Estimationnvariance is that, unlike other computational photographic techniques, it does not require pre-exposure velocity estimation in order to ensure numerically stable deblurring. Its disadvantage is that the invariance is only approximate - objects moving with non-zero velocity will exhibit artifacts in 作者: RENIN 時間: 2025-3-29 18:46 作者: 發(fā)誓放棄 時間: 2025-3-29 22:15 作者: STELL 時間: 2025-3-30 01:36
Learning the Face Prior for Bayesian Face Recognitionons, expressions, aging, and occlusions in the wild. In this paper, we propose a new approach to learn the face prior for Bayesian face recognition. First, we extend Manifold Relevance Determination to learn the identity subspace for each individual automatically. Based on the structure of the learn作者: Efflorescent 時間: 2025-3-30 07:46
Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsityon but for one problem. Features typically are confounded by alignment error in space and time. As a consequence, high-dimensional representations such as SIFT and Gabor features have been favored despite their much greater computational cost and potential loss of information. We propose a Kernel St作者: custody 時間: 2025-3-30 10:03 作者: galley 時間: 2025-3-30 14:52
Joint Unsupervised Face Alignment and Behaviour Analysisusually trained on thousands of carefully annotated examples, is applied to track the landmark points, and then analysis is performed using mostly the shape and more rarely the facial texture. This paper challenges the above framework by showing that it is feasible to perform joint landmarks localiz作者: vascular 時間: 2025-3-30 16:42
Learning a Deep Convolutional Network for Image Super-Resolutiontion images. The mapping is represented as a deep convolutional neural network (CNN) [15] that takes the low-resolution image as the input and outputs the high-resolution one. We further show that traditional sparse-coding-based SR methods can also be viewed as a deep convolutional network. But unli作者: endoscopy 時間: 2025-3-30 20:46
Discriminative Indexing for Probabilistic Image Patch Priorssks, especially deconvolution, due to its rich expressiveness. However, its applicability is limited by the heavy computation involved in the associated optimization process. Inspired by the recent advances on using regression trees to index priors defined on a Conditional Random Field, we propose a作者: BUDGE 時間: 2025-3-31 01:49
Modeling Video Dynamics with Deep Dynencodernamic system can model dynamic textures but have limited capacity of representing sophisticated nonlinear dynamics. Inspired by the nonlinear expression power of deep autoencoders, we propose a novel model named dynencoder which has an autoencoder at the bottom and a variant of it at the top (named 作者: MORPH 時間: 2025-3-31 06:35
Good Image Priors for Non-blind Deconvolutionat if we have more specific training examples, .sharp images of similar scenes? Surprisingly, state-of-the-art image priors don’t seem to benefit from from context-specific training examples. Re-training generic image priors using ideal sharp example images provides minimal improvement in non-blind 作者: 讓你明白 時間: 2025-3-31 10:53
Image Deconvolution Ringing Artifact Detection and Removal via PSF Frequency Analysisinto account non-invertible frequency components of the blur kernel used in the deconvolution. Efficient Gabor wavelets are produced for each non-invertible frequency and applied on the deblurred image to generate a set of filter responses that reveal existing ringing artifacts. The set of Gabor fil作者: arsenal 時間: 2025-3-31 15:19 作者: Overthrow 時間: 2025-3-31 19:32
https://doi.org/10.1007/978-3-319-10593-23D; activity recognition and understanding; artificial intelligence; computational photography; computer作者: Fretful 時間: 2025-3-31 22:30
978-3-319-10592-5Springer International Publishing Switzerland 2014作者: 拋物線 時間: 2025-4-1 03:26
Computer Vision -- ECCV 2014978-3-319-10593-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: incision 時間: 2025-4-1 06:58
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234167.jpg
