[PDF] Top 20 Layer-based sparse representation of multiview images
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Layer-based sparse representation of multiview images
... a sparse representation of multiview ...is based on the fact that multiview data is composed of epipolar-plane image lines which are highly ...the layer-based ... See full document
15
A Review on Enhancement of Latent Fingerprint Images by Multi-scale patch based Sparse Representation & Hazy Images by Image Dehazing and Transmission Map Refinement
... outdoor images is often degraded due to the presence of haze, fog, sandstorms, and so ...haze layer from the input hazy image can significantly increase the visibility of the ...outdoor images and ... See full document
8
Fingerprint Compression Based on Sparse Representation
... special images (face and fingerprint ...fingerprint images can be compressed better under an over-complete dictionary if it is properly ...compression based on Nonnegative Matrix Factorization (NMF) ... See full document
21
Person Re identification with Discriminative Dictionary Learning
... different images, just as it is currently too difficult to find a common metric model that is suitable for all ...the Sparse Representation based Classification (SRC) models sparse ... See full document
8
Time Domain Sparse Representation for Multi-Aspect SAR Data of Targets
... Abstract—Sparse representation is the fundamental technology of compressive sensing, sparse three- dimensional (3-D) imaging, and dictionary-based parameter ...Typical sparse ... See full document
8
A Novel Sparse Representation Method of Occluded Images for Face Recognition
... Sparse representation face recognition (SRC) is model based on the image subspace assumption , it uses training sample images to span a face ...test images from training images. ... See full document
5
Categorizing biomedicine images using novel image features and sparse coding representation
... A fundamental problem of image processing is to repre- sent an image ’ s content in a way that automatic computer algorithms or programs can understand the representa- tion. For this purpose, image features are often ... See full document
13
Kernel Collaborative Representation Classification Based on Adaptive Dictionary Learning
... face images, test sample and adaptive dictionary are mapped to high-dimensional feature space using kernel function, we classify the test sample in the kernel space instead of the original ...step sparse ... See full document
8
A Signal Recovery Approach with Block Compressive Sensing Based on Image Steganalysis
... Abstract. In this work, we firstly investigate directional lifting wavelet transform (DLWT) as a sparse representation of images. Then a block compressive sensing (BCS) measurement matrix is designed ... See full document
9
A New Approach to Partial Face Recognition
... SIFT- based face ...collaborative representation of different ...via sparse representation of all gallery images to select the best match ... See full document
5
Noise reduction of diffusion tensor images by sparse representation and dictionary learning
... the sparse representation and dictionary ...maximal sparse representation of the ...the sparse representation based denoising model to achieve higher sparsity with lower ... See full document
11
Palm Print Compression Based on Sparse Representation
... print images to identify the accurate personal ...print images to perform matching score-level ...print images and can be obtained by any palm print identification method and the third kind of score ... See full document
6
A Novel Inpainting Algorithm based on Sparse Representation
... In this section, the proposed dictionary pruning algorithm is tested on a number of standard gray, color images and image sequences. The proposed algorithm is applied to the applications of scratch and text ... See full document
7
Facial Expression Recognition via Kernel Sparse Representation
... classes should be separated from each other. For another perspective, the validity of SRC is based on the assumption that different types of data points are not distributed in the same radius direction. However, ... See full document
6
Superpixel based feature specific sparse representation for spectral-spatial classification of hyperspectral images
... With a 3-D cube of the HSI, rich spatial information is contained along with the spectral information. The EMPs are extracted to represent the spatial information. With the EMPs and the raw spectral data, fusion of the ... See full document
17
Clustering K SVD for sparse representation of images
... the sparse representation accu- racy or reduce the computational complexity ...cesses, sparse coding and dictionary updating, which are executed ...the sparse coding process, at most k ... See full document
14
Image Inpainting Based on Sparse Representation with Histogram Dictionary
... structure layer and texture ...structure layer, and used the technique [8] to process the texture ...reconstructed images are added back together to obtain the inapitning ...order based on ... See full document
11
Modified Graph Based Representation of Multiview Images & Coding
... A graph with N levels describes 1 reference view and N − 1 predicted views and is constructed based on the depth maps , 1 ≤ n ≤ N − 1. More precisely, the depth maps are converted to integer disparity values , 1 ≤ ... See full document
11
Single and multiple object tracking using a multi feature joint sparse representation
... handling based on high level associations is ...occlusion representation was ...filter based on a probabilistic exclusion principle to infer the object states during ... See full document
30
Multiview LSA: Representation Learning via Generalized CCA
... Future Work Column MVLSA Wiki of Table 9 shows us that MVLSA applied to monolingual data has mediocre performance compared to the base- lines of Glove and Word2Vec on word similarity tasks and performs surprisingly worse ... See full document
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