*Tabb, A.*
**Co Author Listing** * Fast and Robust Curve Skeletonization for Real-World Elongated Objects

* Hierarchical Data Structure for Real-Time Background Subtraction

* Segmenting Root Systems in X-Ray Computed Tomography Images Using Level Sets

* Shape from Silhouette Probability Maps: Reconstruction of Thin Objects in the Presence of Silhouette Extraction and Calibration Error

* Solving the robot-world hand-eye(s) calibration problem with iterative methods

Includes: Tabb, A. Tabb, A.[Amy]

*Tabb, M.[Mark]*
**Co Author Listing** * Enhancements of an Adaptive Neighborhood Speckle Filtering Algorithm to Improve Analysis of Polarimetric SAR Imagery

* Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition

* Global-scale object detection using satellite imagery

* Multiscale Image Segmentation by Integrated Edge and Region Detection

* Multiscale Image Segmentation Using a Recent Transform

* Multiscale Region-Based Approach to Image Matching, A

Includes: Tabb, M.[Mark] Tabb, M.

*Tabbara, W.*
**Co Author Listing** * Interferometric Coherence Optimization Method in Radar Polarimetry for High-Resolution Imagery, An

*Tabbone, A.[Antoine]*
**Co Author Listing** * Combining Global and Local Threshold to Binarize Document of Images

* Head Pose Classification Using a Bidimensional Correlation Filter

*Tabbone, S.[Salvatore]*
**Co Author Listing** * Amplitude-only log Radon transform for geometric invariant shape descriptor

* BoG: A New Approach for Graph Matching

* Camera-captured document image perspective distortion correction using vanishing point detection based on Radon transform

* Errata and comments on Generic orthogonal moments: Jacobi-Fourier moments for invariant image description

* Extraction of Nom Text Regions from Stele Images Using Area Voronoi Diagram

* Graph-based bag-of-words for classification

* Graph-Based Early-Fusion for Flood Detection

* Image classification based on bag of visual graphs

* Learning Cost Functions for Graph Matching

* Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset, A

* New Approach for Symbol Recognition Combining Shape Context of Interest Points with Sparse Representation

* Novel Approach for Graphics Recognition Based on Galois Lattice and Bag of Words Representation, A

* Object Recognition Using Radon Transform-Based RST Parameter Estimation

* Recognition-Based Segmentation of Nom Characters from Body Text Regions of Stele Images Using Area Voronoi Diagram

* Robust Curvature Extrema Detection Based on New Numerical Derivation

* robust skew detection method based on Maximum Gradient Difference and R-signature, A

* Similarity transformation parameters recovery based on Radon transform. Application in image registration and object recognition

Includes: Tabbone, S.[Salvatore] Tabbone, S.

17 for Tabbone, S.

*Tabbone, S.A.[Salvatore A.]*
**Co Author Listing** * Adaptative elimination of false edges for first order detectors

* Approach to Detect Lofar Lines, An

* Asymmetric Generalized Gaussian Mixture Models and EM Algorithm for Image Segmentation

* Attributed Graph Matching Using Local Descriptions

* Automatic annotation extension and classification of documents using a probabilistic graphical model

* Automatic Images Annotation Extension Using a Probabilistic Graphical Model

* Automatical definition of measures from the combination of shape descriptors

* Bayesian network for combining descriptors: Application to symbol recognition, A

* Bayesian Networks-Based Defects Classes Discrimination in Weld Radiographic Images

* Behavior of the Laplacian of Gaussian Extrema

* Binarization of color images from an adaptation of possibilistic c-means algorithm

* Classification and Automatic Annotation Extension of Images Using Bayesian Network

* Color and grey level object retrieval using a 3D representation of force histogram

* Combination of shape descriptors using an adaptation of boosting

* Cooperation between edges and junctions for edge grouping

* Detecting Junctions Using Properties of the Laplacian of Gaussian Detector

* Detection of Lofar lines

* Edge noise removal in bilevel graphical document images using sparse representation

* Efficient Edge Detection Using Two Scales

* Fast and robust recognition of orbit and sinus drawings using histograms of forces

* Fast computation of orthogonal polar harmonic transforms

* Fast Generic Polar Harmonic Transforms

* Fast polygonal approximation of digital curves

* Feature selection combining genetic algorithm and Adaboost classifiers

* generalization of the R-transform for invariant pattern representation, The

* Generic Feature Selection and Document Processing

* Generic polar harmonic transforms for invariant image description

* Generic polar harmonic transforms for invariant image representation

* Geometric Invariant Shape Descriptor Based on the Radon, Fourier, and Mellin Transforms, A

* Graph Embedding Using Constant Shift Embedding

* Graph Matching Based on Node Signatures

* Histogram of radon transform. A useful descriptor for shape retrieval

* Hybrid Approach to Detect Graphical Symbols in Documents, A

* Hypergraph-based image retrieval for graph-based representation

* Hypergraph-Based Model for Graph Clustering: Application to Image Indexing, A

* Image Annotation Using a Semantic Hierarchy

* Images Annotation Extension Based on User Feedback

* Impact of a codebook filtering step on a galois lattice structure for graphics recognition

* Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications

* Improving the recognition by integrating the combination of descriptors

* Incremental Embedding Within a Dissimilarity-Based Framework

* Indexing Method for Graphical Documents, An

* Indexing of technical line drawings based on F-signatures

* Invariant pattern recognition using the RFM descriptor

* Matching of graphical symbols in line-drawing images using angular signature information

* Median Graph Shift: A New Clustering Algorithm for Graph Domain

* Method for Symbol Spotting in Graphical Documents, A

* Modeling, Classifying and Annotating Weakly Annotated Images Using Bayesian Network

* Multi-scale binarization of images

* Multiorder polygonal approximation of digital curves

* Multiscale Edge Detector, A

* NAVIDOMASS: Structural-based Approaches Towards Handling Historical Documents

* new shape descriptor defined on the Radon transform, A

* New Way to Detect Arrows in Line Drawings, A

* On defining signatures for the retrieval and the classification of graphical drop caps

* On the Behavior of the Laplacian of Gaussian for Junction Models

* Optimal Classifier Fusion in a Non-Bayesian Probabilistic Framework

* original multi-scale algorithm to binarize images, An

* protocol to characterize the descriptive power and the complementarity of shape descriptors, A

* Recognition of arrows in line drawings based on the aggregation of geometric criteria using the Choquet integral

* Recognition of symbols in grey level line-drawings from an adaptation of the radon transform

* Retrieving images by content from strong relational graph matching

* Review of Shape Descriptors for Document Analysis, A

* Shape Descriptor Combining Logarithmic-Scale Histogram of Radon Transform and Phase-Only Correlation Function, A

* Shape-Based Image Retrieval Using a New Descriptor Based on the Radon and Wavelet Transforms

* skeleton based descriptor for detecting text in real scene images, A

* Sparsity-based edge noise removal from bilevel graphical document images

* Subpixel Positioning of Edges for First and Second Order Operators

* Symbol Spotting Approach Based on the Vector Model and a Visual Vocabulary, A

* Symbol spotting for technical documents: An efficient template-matching approach

* Technical symbols recognition using the two-dimensional radon transform

* Text/graphic separation using a sparse representation with multi-learned dictionaries

* Text/Graphics Separation Revisited

* Towards Performance Evaluation of Graph-Based Representation

* Vectorization in Graphics Recognition: To Thin or Not to Thin

* Visual features with semantic combination using Bayesian network for a more effective image retrieval

Includes: Tabbone, S.A.[Salvatore A.] Tabbone, S.A. Tabbone, S.A.[Salavatore A.]

76 for Tabbone, S.A.

Last update:17-Nov-18 09:49:16

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