SIFT descriptors
3D facial expression recognition using SIFT descriptors of automatically detected keypoints
... derive SIFT descriptors. A detailed explanation of the SIFT keypoint detection and feature extraction is given in [ 13 ...of SIFT descriptor and its adaptation to our context. Briefly, a ...
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Change Detection for High Resolution Satellite Images, based on SIFT descriptors and an a Contrario approach
... the SIFT algorithm The SIFT algorithm [1] follows three steps: first, interest points are detected as keypoints on two ...These descriptors are designed to be invariant to translation, scal- ing and ...
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Saliency Attention and SIFT Keypoints Combination for Automatic Target Recognition on MSTAR dataset
... (SIFT) descriptors of the transformed SAR ...the SIFT keypoints located in the salient ...vector descriptors of unknown image target and all known images stored in training data set is ...
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How to Use SIFT Vectors to Analyze an Image with Database Templates
... local descriptors using ...the descriptors for each database ...many descriptors would lead to miss database images with low ...of SIFT descriptors is sometime less than 10 for a ...
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SAR-SIFT: A SIFT-LIKE ALGORITHM FOR SAR IMAGES
... multilevel SIFT matching approach is proposed by Huo [4] to register very high resolution images, with the help of RANdom Sample Consensus ...The SIFT algorithm has also some assets for remote sensing image ...
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Short Local Descriptors from 2D Connected Pattern Spectra
... with SIFT may be sufficient to achieve desired ...our descriptors give comparable results to the SIFT descriptors for ucid5 – ucid3, and perform slightly worse for ...LPS descriptors ...
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Kernel Local Descriptors with Implicit Rotation Matching
... of SIFT, consider that each pixel x is mapped to ψ(x) ∈ R 128 , which is a sparse feature map due to the quantization of gradient orientation and spatial ...the SIFT descriptor. The similarity of two ...
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Palm vein verification system based on SIFT matching
... Figure 8: DET curve of the proposed method without any post-processing (blue dotted line) and with processing (red line) 4 Conclusions and perspectives Hand vein verification is a promising technique for the ...
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Orientation covariant aggregation of local descriptors with embeddings
... The image representation created by modulating the monomial embedding ϕ 2 us- ing N = 3 takes on average 68 ms for a typical image with 3,000 SIFT descriptors. The resulting aggregated vector representation ...
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Robust SIFT-Based Hierarchical Video Mosaicing for Endomicroscopy
... calculate SIFT descriptors [3] on a dense grid using a bin size of 20 pixels with ...each SIFT descriptor from one sub-mosaic with its closest match (Euclidean distance in feature space) in each of ...
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Qualitative Comparison of Audio and Visual Descriptors Distributions
... Chroma descriptors which provides an harmonic representation, the Spectral Crest Factor (SCF) and the Spectral Flatness Measure (SFM) which provide complementary information about the spectral shape [15], ...four ...
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Descriptors of Posidonia oceanica meadows: Use and application
... Abstract The conservation of the coastal marine environment requires the possession of information that enables the global quality of the environment to be evaluated reliably and relatively quickly. The use of biological ...
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Invariant image descriptors and affine morphological scale-space
... point. Descriptors of interest point vicinities are compared for this ...these descriptors should capture the invariant information that per- mits to match the corresponding interest points, whatever the ...
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Hydrogen sulphide quantification by SIFT/MS: highlighting the influence of gas moisture
... H 2 S measurements has resulted in lower values compared to GC-based methods usually coupled with TD devices: 0.77 ppbv vs 3.8 ppbv [ 7 ]. We also observed that, in SIFT/MS, uncertainty of signal intensity is ...
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EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing.
... The new tools include 1 a new and flexible EEGLAB STUDY design facility for framing and performing statistical analyses on data from multiple subjects; 2 a neuroelectromagnetic forward h[r] ...
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A robust parametric active contour based on Fourier descriptors
... Index Terms— Active contour, Fourier descriptors, con- tour tracking, ultrasound image 1. INTRODUCTION An active contour, usually called snake, is an energy mini- mizing curve defined in image domain that evolves ...
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Retrieval of Remote Sensing Images with Pattern Spectra Descriptors
... produced descriptors, but simply store the amount of image detail (Lebesgue measure of contributing components) as a ratio of total image ...image descriptors as Global Pattern Spectra ...
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CAD assembly descriptors for knowledge capitalization and model retrieval
... shape descriptors associated to a single shape is due to the fact that it has been demonstrated that there is no best shape descriptor for the comparison of each shape type ...consider descriptors related ...
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Modeshapes recognition using Fourier descriptors: a simple SHM example
... The nodal lines are obtained by thresholding (displacement close to zero). For each modeshapes we can save nodal lines in a bitmap file (image) for further analysis with image processing tools. Using a classical EFD ...
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Estimating the Indexability of Multimedia Descriptors for Similarity Searching
... Because it was previously observed that the intrinsic dimensionality and pairwise distance distribution have great correlation with the indexability of data, the results of the study of [r] ...
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