派博傳思國際中心

標(biāo)題: Titlebook: Computer Vision - ACCV 2010; 10th Asian Conferenc Ron Kimmel,Reinhard Klette,Akihiro Sugimoto Conference proceedings 2011 Springer Berlin H [打印本頁]

作者: 衰退    時(shí)間: 2025-3-21 18:43
書目名稱Computer Vision - ACCV 2010影響因子(影響力)




書目名稱Computer Vision - ACCV 2010影響因子(影響力)學(xué)科排名




書目名稱Computer Vision - ACCV 2010網(wǎng)絡(luò)公開度




書目名稱Computer Vision - ACCV 2010網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision - ACCV 2010被引頻次




書目名稱Computer Vision - ACCV 2010被引頻次學(xué)科排名




書目名稱Computer Vision - ACCV 2010年度引用




書目名稱Computer Vision - ACCV 2010年度引用學(xué)科排名




書目名稱Computer Vision - ACCV 2010讀者反饋




書目名稱Computer Vision - ACCV 2010讀者反饋學(xué)科排名





作者: Chandelier    時(shí)間: 2025-3-21 20:59
Advances in Cryptology – CRYPTO 2017el which also provides a measure of the accuracy of the estimation. The proposed approach enables a simple auto-calibration of the translating pattern, and data redundancy resulting from the translating pattern can improve both the robustness and accuracy of the shape estimation. Experimental result
作者: CRASS    時(shí)間: 2025-3-22 01:30
Colour Dynamic Photometric Stereo for Textured Surfacess an energy functional minimisation, solved by a standard quasi-Newton method. Our method is tested both on real and synthetic data, quantitatively evaluated and compared to a state-of-the-art method.
作者: colostrum    時(shí)間: 2025-3-22 08:22

作者: 皺痕    時(shí)間: 2025-3-22 12:37

作者: 媒介    時(shí)間: 2025-3-22 13:06

作者: 媒介    時(shí)間: 2025-3-22 17:31
Lecture Notes in Computer Scienceiption. We further present a method for matching the proposed interference descriptions of different patterns. In a series of experiments, we demonstrate the effectiveness of our description for several computer vision tasks such as pattern recognition, shape matching and retrieval.
作者: 休息    時(shí)間: 2025-3-22 21:33

作者: 得罪    時(shí)間: 2025-3-23 04:10

作者: coddle    時(shí)間: 2025-3-23 09:25
Advances in Cryptology – CRYPTO 2017ers that belong to different classes but have a significant overlap. We use a simple nearest neighbor classifier for object class segmentation and show that discarding unreliable regions results in a significant improvement.
作者: ESO    時(shí)間: 2025-3-23 11:25

作者: fringe    時(shí)間: 2025-3-23 16:36
Balthazar Bauer,Pooya Farshim,Sogol Mazaherids of parts we designed rotation invariant EdgeField features based on which we learnt boosted classifiers to calculate the image likelihoods. Experiment result shows that our framework is both fast and accurate.
作者: EVEN    時(shí)間: 2025-3-23 20:54
Georg Fuchsbauer,Eike Kiltz,Julian Lossre consistency in the reconstructed full-resolution images. These ideas are combined with an efficient regularization scheme to give depth maps at a higher resolution than in any previous method. We provide results on both synthetic and real data.
作者: meritorious    時(shí)間: 2025-3-24 00:30

作者: 解開    時(shí)間: 2025-3-24 02:59
Combiners for Backdoored Random?Oracleswo in one variable and one, respectively two, systems of linear equations and can be efficiently solved in a closed-form. By evaluating our algorithms on synthetic and real data we demonstrate that both our solutions are fast, efficient and numerically stabled.
作者: RALES    時(shí)間: 2025-3-24 09:10
Balthazar Bauer,Pooya Farshim,Sogol Mazaheriaptive window size is applied as a statistical measure that locally approximates the variation of intensities to address intensity inhomogeneities. The model is tested for the problem of segmenting overlapping nuclei in cytological images.
作者: fodlder    時(shí)間: 2025-3-24 12:30

作者: Fibroid    時(shí)間: 2025-3-24 16:16

作者: 卵石    時(shí)間: 2025-3-24 21:11

作者: GRE    時(shí)間: 2025-3-25 00:58

作者: 種屬關(guān)系    時(shí)間: 2025-3-25 03:49

作者: insightful    時(shí)間: 2025-3-25 09:41

作者: Fibrinogen    時(shí)間: 2025-3-25 13:25

作者: 鐵塔等    時(shí)間: 2025-3-25 17:40

作者: 合乎習(xí)俗    時(shí)間: 2025-3-25 22:04

作者: 廢墟    時(shí)間: 2025-3-26 00:12
Closed-Form Solutions to Minimal Absolute Pose Problems with Known Vertical Directionwo in one variable and one, respectively two, systems of linear equations and can be efficiently solved in a closed-form. By evaluating our algorithms on synthetic and real data we demonstrate that both our solutions are fast, efficient and numerically stabled.
作者: 間接    時(shí)間: 2025-3-26 04:41

作者: BALE    時(shí)間: 2025-3-26 12:14
Key Rotation for Authenticated Encryption convex problem is achieved by maximizing the second smallest eigen value of the graph Laplacian via semi-definite programming. The enhanced image graph model, after the removal of irrelevant features, is shown to improve the salient object detection performance on a large image data base with annotated ‘ground truth’.
作者: Corral    時(shí)間: 2025-3-26 16:40
https://doi.org/10.1007/978-3-319-63715-0f propagation to solve this MRF, leading to a globally optimised integration with accurate local details. Experiments show the advantages and superiority of our MRF-based approach over existing methods.
作者: 客觀    時(shí)間: 2025-3-26 18:47
Advances in Cryptology – CRYPTO 2017 learning. Experimental results demonstrate that the proposed algorithm can handle sequentially arriving data that batch PLSA learning cannot cope with, and its performance is comparable with that of the batch PLSA learning on visual recognition.
作者: sleep-spindles    時(shí)間: 2025-3-27 00:46
Unsupervised Feature Selection for Salient Object Detection convex problem is achieved by maximizing the second smallest eigen value of the graph Laplacian via semi-definite programming. The enhanced image graph model, after the removal of irrelevant features, is shown to improve the salient object detection performance on a large image data base with annotated ‘ground truth’.
作者: 基因組    時(shí)間: 2025-3-27 02:22

作者: flavonoids    時(shí)間: 2025-3-27 06:31
Online Learning for PLSA-Based Visual Recognition learning. Experimental results demonstrate that the proposed algorithm can handle sequentially arriving data that batch PLSA learning cannot cope with, and its performance is comparable with that of the batch PLSA learning on visual recognition.
作者: HALL    時(shí)間: 2025-3-27 12:12

作者: Hearten    時(shí)間: 2025-3-27 14:43

作者: BADGE    時(shí)間: 2025-3-27 18:43
0302-9743 post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010.All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithm
作者: coddle    時(shí)間: 2025-3-27 22:43
Advances in Cryptology – CRYPTO 2017re of the scene. As a result, the 3D structure can be emphasized visually without any delay of computation. In this paper, we propose a method for generating the patterned light of projectors which enables us to emphasize arbitrary 3D structure of the scene efficiently.
作者: indicate    時(shí)間: 2025-3-28 03:04
https://doi.org/10.1007/978-3-319-96878-0 we show how observed point correspondences are optimally corrected so that they are compatible with the homography between the two images determined by the plane and camera parameters. In the latter, we show how the homography is optimally estimated by iteratively using the triangulation procedure.
作者: grandiose    時(shí)間: 2025-3-28 09:13

作者: Diverticulitis    時(shí)間: 2025-3-28 11:32
Emphasizing 3D Structure Visually Using Coded Projection from Multiple Projectorsre of the scene. As a result, the 3D structure can be emphasized visually without any delay of computation. In this paper, we propose a method for generating the patterned light of projectors which enables us to emphasize arbitrary 3D structure of the scene efficiently.
作者: gustation    時(shí)間: 2025-3-28 15:03

作者: Intuitive    時(shí)間: 2025-3-28 21:45

作者: OTTER    時(shí)間: 2025-3-28 23:55
Generic Object Class Detection Using Boosted Configurations of Oriented Edgesble configurations of oriented edges. An ensemble of such configurations is learnt in a boosting framework. Each edge configuration can capture some local . shape property of the target class and the representation is thus . to representing and detecting visual classes that have distinctive local st
作者: Factorable    時(shí)間: 2025-3-29 05:39

作者: ORE    時(shí)間: 2025-3-29 07:45

作者: ellagic-acid    時(shí)間: 2025-3-29 13:36

作者: 思想上升    時(shí)間: 2025-3-29 18:05

作者: 緩解    時(shí)間: 2025-3-29 20:30
Multi-Target Tracking by Learning Class-Specific and Instance-Specific Cuesled Data-Driven Particle Filtering (DDPF). The learned . include an online learned geometrical model for excluding detection outliers that violate geometrical constraints, global pose estimators shared by all targets for particle refinement, and online Boosting based appearance models which select d
作者: 把手    時(shí)間: 2025-3-30 01:42
Modeling Complex Scenes for Accurate Moving Objects Segmentationround subtraction. We propose an online and unsupervised technique to find optimal segmentation in a Markov Random Field (MRF) framework. To improve the accuracy, color, locality, temporal coherence and spatial consistency are fused together in the framework. The models of color, locality and tempor
作者: COLIC    時(shí)間: 2025-3-30 04:22

作者: preservative    時(shí)間: 2025-3-30 08:29

作者: DEI    時(shí)間: 2025-3-30 14:23
Object Class Segmentation Using Reliable Regions, reduction in the number of hypothesis to test, region shape itself can be a useful feature, etc. Since segmentation is brittle, a popular remedy is to integrate results over multiple segmentations of the scene. In previous work, usually all the regions in multiple segmentations are used. However,
作者: Decongestant    時(shí)間: 2025-3-30 17:27
Specular Surface Recovery from Reflections of a Planar Pattern Undergoing an Unknown Pure Translatior pattern. Previous works have demonstrated that a specular surface can be recovered from the reflections of two calibrated planar patterns. In this paper, however, only one reference planar pattern is assumed to have been calibrated against a fixed camera observing the specular surface. Instead of
作者: AMOR    時(shí)間: 2025-3-30 23:48
Medical Image Segmentation Based on Novel Local Order Energy difficulties, problem caused by the image intensity inhomogeneity is the key aspect. In this work, we develop a novel local-homogeneous region-based level set segmentation method to tackle this problem. First, we propose a novel ., which interprets the local intensity constraint. And then, we integ
作者: Graves’-disease    時(shí)間: 2025-3-31 03:39

作者: 刺耳的聲音    時(shí)間: 2025-3-31 08:30
Human Pose Estimation Using Exemplars and Part Based Refinement an initialization stage and an iterative searching stage. In the initialization stage, example based method is used to find several initial poses which are used as searching seeds of the next stage. In the iterative searching stage, a larger number of body parts candidates are generated by adding r
作者: Infinitesimal    時(shí)間: 2025-3-31 10:29
Full-Resolution Depth Map Estimation from an Aliased Plenoptic Light Fieldimation of a low-resolution depth map with a plenoptic camera differs substantially from that of a camera array and, in particular, requires appropriate depth-varying antialiasing filtering. In this paper we show a quite striking result: One can instead recover a depth map at the same full-resolutio
作者: thalamus    時(shí)間: 2025-3-31 16:48
Indoor Scene Classification Using Combined 3D and Gist Featuresof-the-art techniques like Torralba’s Gist features show a good performance on categorizing outdoor scenes but have problems in categorizing indoor scenes. In contrast to object based approaches, we propose a 3D feature vector capturing general properties of the spatial layout of indoor scenes like
作者: Peristalsis    時(shí)間: 2025-3-31 20:42

作者: 行業(yè)    時(shí)間: 2025-3-31 22:04

作者: 逢迎春日    時(shí)間: 2025-4-1 04:46
Optimal Two-View Planar Scene Triangulation planar surface. We consider two cases: the case in which the plane and camera parameters are known and the case in which they are not. In the former, we show how observed point correspondences are optimally corrected so that they are compatible with the homography between the two images determined
作者: 造反,叛亂    時(shí)間: 2025-4-1 09:25
Computer Vision - ACCV 2010978-3-642-19309-5Series ISSN 0302-9743 Series E-ISSN 1611-3349




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