標(biāo)題: Titlebook: Deep Structure, Singularities, and Computer Vision; First International Ole Fogh Olsen,Luc Florack,Arjan Kuijper Conference proceedings 20 [打印本頁(yè)] 作者: exterminate 時(shí)間: 2025-3-21 17:21
書(shū)目名稱Deep Structure, Singularities, and Computer Vision影響因子(影響力)
書(shū)目名稱Deep Structure, Singularities, and Computer Vision影響因子(影響力)學(xué)科排名
書(shū)目名稱Deep Structure, Singularities, and Computer Vision網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Deep Structure, Singularities, and Computer Vision網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Deep Structure, Singularities, and Computer Vision被引頻次
書(shū)目名稱Deep Structure, Singularities, and Computer Vision被引頻次學(xué)科排名
書(shū)目名稱Deep Structure, Singularities, and Computer Vision年度引用
書(shū)目名稱Deep Structure, Singularities, and Computer Vision年度引用學(xué)科排名
書(shū)目名稱Deep Structure, Singularities, and Computer Vision讀者反饋
書(shū)目名稱Deep Structure, Singularities, and Computer Vision讀者反饋學(xué)科排名
作者: Deduct 時(shí)間: 2025-3-21 21:11 作者: 游行 時(shí)間: 2025-3-22 01:46 作者: 用手捏 時(shí)間: 2025-3-22 04:56 作者: implore 時(shí)間: 2025-3-22 11:52
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/264676.jpg作者: Oratory 時(shí)間: 2025-3-22 16:45
https://doi.org/10.1007/115778123D; Computer Vision; Textur; feature extraction; feature selection; image analysis; image descriptors; imag作者: Oratory 時(shí)間: 2025-3-22 17:04 作者: 印第安人 時(shí)間: 2025-3-22 23:36
Developing the Socially Useful Economyver which the correlation will be calculated. Classically this is the whole space of interest, but in many cases one desires the correlation over some region of interest. The “inner scale” is the scale at which the signals to be correlated are represented. Classically this means infinite precision. 作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-23 01:32 作者: MURKY 時(shí)間: 2025-3-23 06:35 作者: 猜忌 時(shí)間: 2025-3-23 09:56
https://doi.org/10.1007/978-3-642-59828-9 generalising known results for the pre-symmetry set of a curve in the plane. We explain how this function is obtained, and illustrate with examples both on and off the diagonal. There are other cases where the pre-symmetry set is .; we mention some of these cases but leave their investigation to an作者: 可互換 時(shí)間: 2025-3-23 15:38 作者: Rheumatologist 時(shí)間: 2025-3-23 19:20 作者: 草率男 時(shí)間: 2025-3-24 00:13 作者: browbeat 時(shí)間: 2025-3-24 02:50 作者: Congestion 時(shí)間: 2025-3-24 07:31
The UK Know How Fund and SEPS Programmesinear reconstruction frameworks, follow an Euler Lagrange minimization. If the Lagrangian (prior) is a norm induced by an inner product of a Hilbert space, this Euler Lagrange minimization boils down to a simple orthogonal projection within the corresponding Hilbert space. This basic observation has作者: Flirtatious 時(shí)間: 2025-3-24 14:45
https://doi.org/10.1057/9780230233621sors with an affine-invariant Riemannian metric, which leads to strong theoretical properties: The space of positive definite symmetric matrices is replaced by a regular and geodesically complete manifold without boundaries. Thus, tensors with non-positive eigenvalues are at an infinite distance of 作者: FLOAT 時(shí)間: 2025-3-24 15:47 作者: 擦試不掉 時(shí)間: 2025-3-24 19:35
https://doi.org/10.1057/9780230233621, can be presented in covariant, or geometrical form. The postulate of a metric for scale space cannot be upheld, as it is incompatible with the generating equation. Two familiar instances of scale spaces consistent with the geometric axioms are considered by way of example, viz. classical, homogene作者: interior 時(shí)間: 2025-3-25 00:09 作者: 同步信息 時(shí)間: 2025-3-25 05:32
The Arab Uprisings through an Agrarian Lensrget subset. The second one produces search trees and is used to approximately identify in real time the pose of a polyhedron from its external contour. A search tree is first grown in a space of shapes of plane curves which are a set of precomputed polygonal outlines of the polyhedron. The tree is 作者: 協(xié)奏曲 時(shí)間: 2025-3-25 08:38
Investment and Neoliberalism in Syria.-image the iso-intensity manifolds behave in an nicely pre-determined manner. As a result of that, the .-image directly generates a hierarchy in the form of a binary ordered rooted tree, that can be used for segmentation, indexing, recognition and retrieval. Understanding the geometry of the manifo作者: GNAT 時(shí)間: 2025-3-25 12:30
The Failure of Arab Macro Policy essentially provided by ‘stationary curves’ and flux curves of ‘figure field’. They are defined, respectively, as the trajectories of stationary points across scale, and as the gradient field of the scale-space image at fixed scale. The figure field also reveals an important fact that a stationary 作者: GOAT 時(shí)間: 2025-3-25 18:12 作者: 共同確定為確 時(shí)間: 2025-3-25 23:45
Development Challenges in Bhutancally canonical cases of isotropic Gaussian random surfaces, under collimated illumination. In this investigation we analyze effects of oblique viewing, extending our theory which applied to normal viewing conditions only [5]. The theory for normal views predicts the structure tensors from either th作者: heterogeneous 時(shí)間: 2025-3-26 01:01 作者: 爭(zhēng)吵加 時(shí)間: 2025-3-26 04:34
Pre-symmetry Sets of 3D Shapes generalising known results for the pre-symmetry set of a curve in the plane. We explain how this function is obtained, and illustrate with examples both on and off the diagonal. There are other cases where the pre-symmetry set is .; we mention some of these cases but leave their investigation to another occasion.作者: Musket 時(shí)間: 2025-3-26 08:38
Deep Structure from a Geometric Point of View, can be presented in covariant, or geometrical form. The postulate of a metric for scale space cannot be upheld, as it is incompatible with the generating equation. Two familiar instances of scale spaces consistent with the geometric axioms are considered by way of example, viz. classical, homogeneous scale space, and foveal scale space.作者: NAVEN 時(shí)間: 2025-3-26 12:52
Virus Assembly and Morphogenesistudy on CT images of the human bladder, prostate, and rectum. Results show improvement over a previous profile based appearance model, out-performance of statistically modeled histograms over simple histogram measurements, and advantages of regional histograms at a fixed local scale over a fixed global scale.作者: 變異 時(shí)間: 2025-3-26 20:43
Tomsk Oblast Ecological Committee, 1998–9xplicit form for any ., . ≥ 0 involving the modified Bessel functions of third kind ... In theoretical investigations and numerical experiments on 1D and 2D data we compare this new scale-space with the classical Gaussian one.作者: 具體 時(shí)間: 2025-3-26 23:22
https://doi.org/10.1057/9780230233621to the processing of structure tensor images and show that it could help to extract low-level features thanks to the affine-invariance of our metric. However, the same affine-invariance causes the whole framework to be noise sensitive and we believe that the choice of a more adapted metric could significantly improve the robustness of the result.作者: BRAND 時(shí)間: 2025-3-27 01:20
Histogram Statistics of Local Model-Relative Image Regionstudy on CT images of the human bladder, prostate, and rectum. Results show improvement over a previous profile based appearance model, out-performance of statistically modeled histograms over simple histogram measurements, and advantages of regional histograms at a fixed local scale over a fixed global scale.作者: 滑稽 時(shí)間: 2025-3-27 05:24 作者: Foreknowledge 時(shí)間: 2025-3-27 10:45 作者: Evocative 時(shí)間: 2025-3-27 14:27
Essential Loops and Their Relevance for Skeletons and Symmetry Setsins information of the complete shape. The string is augmented with information about the special points along the (pre-) Symmetry Set that it resembles. Changes in this simple line structure are directly related to so-called transitions (topological changes) of the . and the Pre- .. It also carries information about the skeleton, or Medial Axis.作者: obligation 時(shí)間: 2025-3-27 19:50 作者: 觀察 時(shí)間: 2025-3-28 00:57 作者: LASH 時(shí)間: 2025-3-28 02:42
Computing 3D Symmetry Sets; A Case Studyon of the 2D case, the visualization, numerical computations and their stability are much more complicated. An example is given by means of an ellipsoid. In this example the Symmetry Set can be computed exactly and results can be compared to the ground truth.作者: anniversary 時(shí)間: 2025-3-28 07:14 作者: medium 時(shí)間: 2025-3-28 12:55 作者: maladorit 時(shí)間: 2025-3-28 15:51 作者: 衰弱的心 時(shí)間: 2025-3-28 21:10 作者: 懸掛 時(shí)間: 2025-3-29 00:54 作者: 未完成 時(shí)間: 2025-3-29 06:42
A Scale Invariant Covariance Structure on Jet Spacestic Brownian image model is an example of a class of functions which are scale invariant with respect to the operators .. and ... This paper also includes empirical results where we estimate the scale invariant jet covariance of natural images and show that it resembles that of Brownian images.作者: Nutrient 時(shí)間: 2025-3-29 10:59 作者: 最有利 時(shí)間: 2025-3-29 15:08 作者: 過(guò)度 時(shí)間: 2025-3-29 16:31
Exploiting Deep Structurelds allows fast methods to derive the hierarchy. In this paper we discuss the relevant geometric properties of . images, as well as their implications for algorithms used for the tree extraction. Examples show the applicability and increased speed of the proposed method compared to traditional ones.作者: 脆弱么 時(shí)間: 2025-3-29 22:41 作者: 高度贊揚(yáng) 時(shí)間: 2025-3-30 02:58 作者: 叢林 時(shí)間: 2025-3-30 05:10 作者: 大雨 時(shí)間: 2025-3-30 10:13 作者: Fracture 時(shí)間: 2025-3-30 15:56 作者: Indent 時(shí)間: 2025-3-30 17:05
J. Allan Downie,Nicholas J. Brewind inter-relations between region geometry and of histograms are described, and the means is given of inter-relating the intensity probabilities and geometric probabilities by producing the probabilities of intensities conditioned on geometry.作者: Perigee 時(shí)間: 2025-3-30 21:15 作者: Bereavement 時(shí)間: 2025-3-31 02:06
Deep Structure of Images in Populations Via Geometric Models in Populationsd inter-relations between region geometry and of histograms are described, and the means is given of inter-relating the intensity probabilities and geometric probabilities by producing the probabilities of intensities conditioned on geometry.作者: 顛簸下上 時(shí)間: 2025-3-31 06:51 作者: Concrete 時(shí)間: 2025-3-31 11:07 作者: 彎彎曲曲 時(shí)間: 2025-3-31 15:43
A Scale Invariant Covariance Structure on Jet Spacer scale space blurring and derive the necessary structure and conditions of the jet covariance matrix in order for it to be scale invariant. As part of the derivation, we introduce a blurring operator .. that acts on jet space contrary to doing spatial filtering and a scaling operator ... The stocha作者: 哄騙 時(shí)間: 2025-3-31 18:20
Essential Loops and Their Relevance for Skeletons and Symmetry Setstaining strings. As shape descriptor one specific string can be chosen. This string represents not only the major axis of the shape, but it also contains information of the complete shape. The string is augmented with information about the special points along the (pre-) Symmetry Set that it resembl作者: 微粒 時(shí)間: 2025-3-31 21:54 作者: Toxoid-Vaccines 時(shí)間: 2025-4-1 02:52
Deep Structure of Images in Populations Via Geometric Models in Populationsilling up the image space, when both images and objects are understood to come from a population. We argue for a schema combining a multi-scale image representation with a multi-scale representation of objects or regions. The objects or regions at one scale level are produced using soft-edged apertu作者: 解脫 時(shí)間: 2025-4-1 06:33
Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationshipsthe variability of the inter-relationships between objects. The method is based on m-reps and the idea of augmenting medial atoms from one object’s m-rep to the set of atoms of an object being described. We describe the training of these probabilities, and we present an example of calculating the st作者: Dedication 時(shí)間: 2025-4-1 13:04
Histogram Statistics of Local Model-Relative Image Regionsine image regions at multiple scales. We use this image description to define an appearance model for deformable model segmentation. Appearance models measure the likelihood of an object given a target image. To determine this likelihood we compute pixel intensity histograms of local model-relative
