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[PDF] Top 20 The Intermediate Matching Kernel for Image Local Features

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The Intermediate Matching Kernel for Image Local Features

The Intermediate Matching Kernel for Image Local Features

... classifiers for image recognition with local features raises the need to design new kernels for such type of ...of the most important problems that should be tackled in ... Voir le document complet

6

TRISK: A local features extraction framework for texture-plus-depth content matching

TRISK: A local features extraction framework for texture-plus-depth content matching

... framework for local features extraction from grayscale texture-plus-depth ...and the popular AGAST corner detector modified to incorporate the depth map into the keypoint detec- ... Voir le document complet

44

Context-dependent kernel design for object matching and recognition

Context-dependent kernel design for object matching and recognition

... In the second family, the “max” kernel [32] considers the similarity function, between two feature sets, as the sum of their matching scores and unlike discussed in [32] this ... Voir le document complet

9

Image matching using rotating filters

Image matching using rotating filters

... combining local and global features for image description, scene classifi- cation/representation and so ...1.1.2 Local Features In a given image, local ... Voir le document complet

160

LOCAL VISUAL FEATURES EXTRACTION FROM TEXTURE+DEPTH CONTENT BASED ON DEPTH IMAGE ANALYSIS

LOCAL VISUAL FEATURES EXTRACTION FROM TEXTURE+DEPTH CONTENT BASED ON DEPTH IMAGE ANALYSIS

... ize the corresponding description ...normalizations. Local affine transfor- mations allow to compensate the geometrical deformations produced by significant viewpoint position changes, and have been ... Voir le document complet

6

Local Convolutional Features with Unsupervised Training for Image Retrieval

Local Convolutional Features with Unsupervised Training for Image Retrieval

... a matching dataset from reprojected 3D models of landmarks, obtained by structure from motion, with a descriptor consisting of sev- eral existing parts, including but not limited to SIFT, GLOH [ 29 ] and Daisy [ ... Voir le document complet

10

Learning-based tone mapping operator for efficient image matching

Learning-based tone mapping operator for efficient image matching

... operator for efficient image matching Aakanksha Rana, Student Member, IEEE, Giuseppe Valenzise, Member, IEEE, Fr´ed´eric Dufaux, Fellow, IEEE, Abstract—In this paper, we propose a new framework to ... Voir le document complet

15

TS-NET: COMBINING MODALITY SPECIFIC AND COMMON FEATURES FOR MULTIMODAL PATCH MATCHING

TS-NET: COMBINING MODALITY SPECIFIC AND COMMON FEATURES FOR MULTIMODAL PATCH MATCHING

... patch matching addresses the problem of finding the correspondences between image patches from two differ- ent modalities, ...near-infrared. The comparison of patches of different ... Voir le document complet

6

Local features for RGBD image matching under viewpoint changes

Local features for RGBD image matching under viewpoint changes

... compute the adaptive local axes from the depth map in a computationally efficient way and robustly to the ...approach for corner detection in ...on the surrounding circle. ... Voir le document complet

151

A Statistical Approach to the Matching of Local Features

A Statistical Approach to the Matching of Local Features

... HE matching of common structures between digital im- ages is an important issue for a large number of com- puter vision applications: finding correspondences between images of the same scene [1], ... Voir le document complet

14

Kernel Local Descriptors with Implicit Rotation Matching

Kernel Local Descriptors with Implicit Rotation Matching

... against the state-of-the-art RootSIFT [ 1 ], and its counterpart rotated by PCA, noted as RootSIFT-PCA in the ...with the learned descriptors of Simonyan et al. [ 10 ] and the ones of ... Voir le document complet

5

Local matching indicators for transport problems with concave costs

Local matching indicators for transport problems with concave costs

... During the last decades, many authors have taken interest in the study of exis- tence, uniqueness and properties of optimal plans [2, 11, 14], with a specific interest for convex costs, ...of ... Voir le document complet

29

Kernel Metrics on Normal Cycles and Application to Curve Matching

Kernel Metrics on Normal Cycles and Application to Curve Matching

... presented the first application of nor- mal cycles in the context of 3D curve ...that the represen- tation with normal cycle encodes all the curvature information of a ...As for ... Voir le document complet

46

Learning local regularization for variational image restoration

Learning local regularization for variational image restoration

... 2 Local regularization for image inverse problem In this section we define our local image regularizer rθ as a convolutional neural network and we describe how we use and train ...tools ... Voir le document complet

13

Data-dependent compression of random features for large-scale kernel approximation

Data-dependent compression of random features for large-scale kernel approximation

... is the O(N J p) time and O(N J ) memory costs associated with generating the feature matrix ...modifying the standard Monte-Carlo estimate of k, ...on the data dimension p (in terms of ... Voir le document complet

25

Feature Extraction for Historical Image Indexing and Matching

Feature Extraction for Historical Image Indexing and Matching

... apply the region-based segmentation directly to the line pattern image, the result will be oversegmented because regions in such image have no exact ...boundary. The idea is to ... Voir le document complet

9

Non-negativity constraints on the pre-image for pattern recognition with kernel machines

Non-negativity constraints on the pre-image for pattern recognition with kernel machines

... While kernel principal component analysis can be applied for feature extraction or data denoising, in a feature space associated to the considered kernel function, a pre-image technique ... Voir le document complet

31

Adaptive morphological filters based on a multiple orientation vector field dependent on image local features.

Adaptive morphological filters based on a multiple orientation vector field dependent on image local features.

... addresses the formulation of adaptive morphological filters based on spatially-variant structuring ele- ...ments. The adaptivity of these filters is achieved by modifying the shape and orientation of ... Voir le document complet

20

Symbolic Image Matching by Simulated Annealing

Symbolic Image Matching by Simulated Annealing

... archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or ...not. The documents may come from teaching and research institutions in France or ... Voir le document complet

7

Attributed Graph Matching using Local Descriptions

Attributed Graph Matching using Local Descriptions

... degrees, the attributes of the node and the incident edge ...use the Heterogeneous Euclidean Overlap Met- ric (HEOM) which handles numeric and symbolic ...using the node signatures and ... Voir le document complet

13

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