派博傳思國際中心

標題: Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati [打印本頁]

作者: FETUS    時間: 2025-3-21 17:49
書目名稱Computer Vision -- ECCV 2014影響因子(影響力)




書目名稱Computer Vision -- ECCV 2014影響因子(影響力)學科排名




書目名稱Computer Vision -- ECCV 2014網絡公開度




書目名稱Computer Vision -- ECCV 2014網絡公開度學科排名




書目名稱Computer Vision -- ECCV 2014被引頻次




書目名稱Computer Vision -- ECCV 2014被引頻次學科排名




書目名稱Computer Vision -- ECCV 2014年度引用




書目名稱Computer Vision -- ECCV 2014年度引用學科排名




書目名稱Computer Vision -- ECCV 2014讀者反饋




書目名稱Computer Vision -- ECCV 2014讀者反饋學科排名





作者: Paleontology    時間: 2025-3-21 21:14
Pipe-Run Extraction and Reconstruction from Point Cloudseristics in this modeling problem, namely, primitives, similarities, and joints. While . capture the dominant cylindric shapes, . reveal the inter-primitive relations intrinsic to industrial structures because of human design and construction. Statistical analysis over point normals discovers primit
作者: 同來核對    時間: 2025-3-22 02:32
Image-Based 4-d Reconstruction Using 3-d Change Detectiond models of the scene at each time instant. Instead, the approach employs an initial 3-d model which is continuously updated with changes in the environment to form a full 4-d representation. This updating scheme is enabled by a novel algorithm that infers 3-d changes with respect to the model at on
作者: Painstaking    時間: 2025-3-22 07:06

作者: In-Situ    時間: 2025-3-22 11:31
Robust Global Translations with 1DSfMg for global camera rotations using averaging schemes, we focus on the problem of solving for 3D camera translations given a network of noisy pairwise camera translation directions (or 3D point observations). To do this well, we have two main insights. First, we propose a method for removing outlier
作者: 都相信我的話    時間: 2025-3-22 13:54

作者: 都相信我的話    時間: 2025-3-22 18:56
RGBD Salient Object Detection: A Benchmark and Algorithmsodels. In this work, we first introduce a large scale RGBD image dataset to address the problem of data deficiency in current research of RGBD salient object detection. To make sure that most existing RGB saliency models can still be adequate in RGBD scenarios, we continue to provide a simple fusion
作者: Mere僅僅    時間: 2025-3-23 00:10
Saliency Detection with Flash and No-flash Image Pairsst, only the foreground objects are significantly brightened by the flash as they are relatively nearer to the camera than the background. Second, the brightness variations introduced by the flash provide hints to surface orientation changes. Accordingly, the first observation is explored to form th
作者: 六個才偏離    時間: 2025-3-23 04:35
Alpha Matting of Motion-Blurred Objects in Bracket Sequence Imagesf a sharp, short-exposure snapshot in the sequence to help overcome major challenges in this task, including blurred object detection, spatially-variant object motion, and foreground/background color ambiguity. A key component of our matte estimation is the inference of approximate, spatially-varyin
作者: construct    時間: 2025-3-23 08:07
An Active Patch Model for Real World Texture and Appearance Classificationstate of the art on datasets ranging from homogeneous texture (e.g., material texture), to less homogeneous texture (e.g., the fur of animals), and to inhomogeneous texture (the appearance patterns of vehicles). Our method uses a bag-of-words model where the features are based on a dictionary of act
作者: 夜晚    時間: 2025-3-23 11:57
Material Classification Based on Training Data Synthesized Using a BTF Databaseg these variations for material classification. Using synthetic training data created from separately acquired material and illumination characteristics allows to overcome the problems of existing material databases which only include a tiny fraction of the possible real-world conditions under contr
作者: 鞠躬    時間: 2025-3-23 17:28

作者: overweight    時間: 2025-3-23 19:07
Transfer Learning Based Visual Tracking with Gaussian Processes Regressionof target appearance as exponentially related to the confidence of a classifier output. By contrast, in this paper we directly analyze this probability using Gaussian Processes Regression (GPR), and introduce a latent variable to assist the tracking decision. Our observation model for regression is
作者: 嫌惡    時間: 2025-3-24 01:16
Separable Spatiotemporal Priors for Convex Reconstruction of Time-Varying 3D Point Clouds, or miscorrespondence. We present a statistical model of 3D motion data, based on the Kronecker structure of the spatiotemporal covariance of natural motion, as a prior on 3D motion. This prior is expressed as a matrix normal distribution, composed of separable and compact row and column covariance
作者: interrogate    時間: 2025-3-24 03:24

作者: 音樂等    時間: 2025-3-24 09:55
Local Estimation of High Velocity Optical Flow with Correlation Image Sensor, the problem of the optical flow estimation is ill-posed if only the temporal constancy of the image brightness is the valid assumption. When given images are captured by the correlation image sensors, though, you can make the problem of the optical flow estimation well-posed under some condition a
作者: antiquated    時間: 2025-3-24 12:36
Rank Minimization with Structured Data Patternsement matrix are available, the problem can be solved using factorization. However, in the case of missing data no satisfactory solution exists. Recent approaches replace the rank term with the weaker (but convex) nuclear norm. In this paper we show that this heuristic works poorly on problems where
作者: magnanimity    時間: 2025-3-24 18:42

作者: Feckless    時間: 2025-3-24 20:59

作者: 智力高    時間: 2025-3-25 01:46
Pipe-Run Extraction and Reconstruction from Point Cloudsive similarities from raw data to guide primitive fitting, increasing robustness to data noise and incompleteness. Finally, . are automatically detected to close gaps and propagate connectivity information. The resulting model is more than a collection of 3D triangles, as it contains semantic labels for pipes as well as their connectivity.
作者: Occupation    時間: 2025-3-25 04:19
Robust Global Translations with 1DSfMs from problem instances by solving simpler low-dimensional subproblems, which we refer to as 1DSfM problems. Second, we present a simple, principled averaging scheme. We demonstrate this new method in the wild on Internet photo collections.
作者: hemorrhage    時間: 2025-3-25 09:31

作者: 血統(tǒng)    時間: 2025-3-25 15:40
Carrier Transport in an Inversion Channel,nking salient object detection results and our method is also able to pick the best salient object detection result such that the overall salient object detection performance is better than each individual method.
作者: Injunction    時間: 2025-3-25 19:52
https://doi.org/10.1007/978-3-7091-9095-1ount of both depth and appearance cues derived from low-level feature contrast, mid-level region grouping and high-level priors enhancement. Extensive experiments show the effectiveness and superiority of our model which can accurately locate the salient objects from RGBD images, and also assign consistent saliency values for the target objects.
作者: 耐寒    時間: 2025-3-25 20:17
Use and need for knowledge on ice drift,common background areas and consistencies in foreground appearance. With this technique, we demonstrate successful alpha matting results on a variety of moving objects including non-rigid human motion.
作者: CRAFT    時間: 2025-3-26 04:13

作者: fidelity    時間: 2025-3-26 06:48

作者: Intend    時間: 2025-3-26 10:21
Use and need for knowledge on ice drift, mild conditions the local convergence rate is . where . is the number of iterations; further, our analysis shows that the convergence improves linearly by increasing the number of threads. We give extensive experimental results on a range of vision datasets demonstrating the algorithm’s empirical behavior.
作者: sperse    時間: 2025-3-26 14:56
Comparing Salient Object Detection Results without Ground Truthnking salient object detection results and our method is also able to pick the best salient object detection result such that the overall salient object detection performance is better than each individual method.
作者: 熱情贊揚    時間: 2025-3-26 20:33

作者: BALE    時間: 2025-3-27 00:47

作者: SLING    時間: 2025-3-27 04:16

作者: 感激小女    時間: 2025-3-27 07:29

作者: ELATE    時間: 2025-3-27 11:42
Spectral Clustering with a Convex Regularizer on Millions of Images mild conditions the local convergence rate is . where . is the number of iterations; further, our analysis shows that the convergence improves linearly by increasing the number of threads. We give extensive experimental results on a range of vision datasets demonstrating the algorithm’s empirical behavior.
作者: orthodox    時間: 2025-3-27 15:19

作者: OMIT    時間: 2025-3-27 20:29
,Treachery: March 1896–16 October 1897,mage collections are significantly different. The performance of the proposed framework is demonstrated on four challenging datasets in terms of 4-d modeling accuracy as well as quantitative evaluation of 3-d change detection.
作者: laparoscopy    時間: 2025-3-27 22:32

作者: intelligible    時間: 2025-3-28 02:38
https://doi.org/10.1007/b138386such as: weak frame-proposals containing unexpected events, action recognition, motion saliency. Illustrative results indicate that motion prediction is not only feasible, but also provides valuable information for a number of applications.
作者: 滑稽    時間: 2025-3-28 07:40
https://doi.org/10.1007/b138386 is high. In this article, we propose a method that can estimate the normal component of high velocity optical flow using only the local image values in each single frame. The equation used for estimating the normal velocity is theoretically derived and the condition the equation holds is also revealed.
作者: Chivalrous    時間: 2025-3-28 11:59

作者: 痛恨    時間: 2025-3-28 16:47

作者: 飛鏢    時間: 2025-3-28 19:12
Déjà Vu:such as: weak frame-proposals containing unexpected events, action recognition, motion saliency. Illustrative results indicate that motion prediction is not only feasible, but also provides valuable information for a number of applications.
作者: 權宜之計    時間: 2025-3-29 01:48
Local Estimation of High Velocity Optical Flow with Correlation Image Sensor is high. In this article, we propose a method that can estimate the normal component of high velocity optical flow using only the local image values in each single frame. The equation used for estimating the normal velocity is theoretically derived and the condition the equation holds is also revealed.
作者: 按時間順序    時間: 2025-3-29 03:15

作者: 世俗    時間: 2025-3-29 08:34

作者: 在駕駛    時間: 2025-3-29 13:32

作者: 易受騙    時間: 2025-3-29 17:36
,Rennes and Rehabilitation (1899–1906),s from problem instances by solving simpler low-dimensional subproblems, which we refer to as 1DSfM problems. Second, we present a simple, principled averaging scheme. We demonstrate this new method in the wild on Internet photo collections.
作者: 調情    時間: 2025-3-29 23:45

作者: Erythropoietin    時間: 2025-3-30 01:09

作者: 按時間順序    時間: 2025-3-30 07:26
The Dream of a Democratic Cultureites. While current 3D reconstruction algorithms often produce a set of disconnected components (3D pieces) for indoor scenes due to scene coverage or matching failures, we make use of a provided map to lay out the 3D pieces in a global coordinate system. Our approach leverages position, orientation
作者: 小母馬    時間: 2025-3-30 09:37
https://doi.org/10.1057/9780230584501eristics in this modeling problem, namely, primitives, similarities, and joints. While . capture the dominant cylindric shapes, . reveal the inter-primitive relations intrinsic to industrial structures because of human design and construction. Statistical analysis over point normals discovers primit
作者: 微枝末節(jié)    時間: 2025-3-30 12:44

作者: 消瘦    時間: 2025-3-30 18:13
,Rennes and Rehabilitation (1899–1906),icient way to establish point correspondences between . pairs of images in a dataset, without having to test each individual pair. The principal message of this paper is that, given a sufficiently large visual vocabulary, ., subject to the additional constraints that index words must be rare in the
作者: Gourmet    時間: 2025-3-31 00:36
,Rennes and Rehabilitation (1899–1906),g for global camera rotations using averaging schemes, we focus on the problem of solving for 3D camera translations given a network of noisy pairwise camera translation directions (or 3D point observations). To do this well, we have two main insights. First, we propose a method for removing outlier
作者: 預感    時間: 2025-3-31 04:30
Carrier Transport in an Inversion Channel,endent. This paper aims to develop a method that is able to select for an input image the best salient object detection result from many results produced by different methods. This is a challenging task as different salient object detection results need to be compared without any ground truth. This
作者: 學術討論會    時間: 2025-3-31 07:00
https://doi.org/10.1007/978-3-7091-9095-1odels. In this work, we first introduce a large scale RGBD image dataset to address the problem of data deficiency in current research of RGBD salient object detection. To make sure that most existing RGB saliency models can still be adequate in RGBD scenarios, we continue to provide a simple fusion
作者: 做作    時間: 2025-3-31 10:59
Use and need for knowledge on ice drift,st, only the foreground objects are significantly brightened by the flash as they are relatively nearer to the camera than the background. Second, the brightness variations introduced by the flash provide hints to surface orientation changes. Accordingly, the first observation is explored to form th
作者: Feigned    時間: 2025-3-31 16:39
Use and need for knowledge on ice drift,f a sharp, short-exposure snapshot in the sequence to help overcome major challenges in this task, including blurred object detection, spatially-variant object motion, and foreground/background color ambiguity. A key component of our matte estimation is the inference of approximate, spatially-varyin
作者: 我悲傷    時間: 2025-3-31 17:48
https://doi.org/10.1007/b138386state of the art on datasets ranging from homogeneous texture (e.g., material texture), to less homogeneous texture (e.g., the fur of animals), and to inhomogeneous texture (the appearance patterns of vehicles). Our method uses a bag-of-words model where the features are based on a dictionary of act
作者: 知道    時間: 2025-3-31 21:43

作者: thalamus    時間: 2025-4-1 04:19

作者: 容易做    時間: 2025-4-1 07:11





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