Ziou, D.[Djemel]
* 1991: Line Detection Using an Optimal IIR Filter
* 1992: experience on automatic selection of the edge detectors, An
* 1992: Subpixel Positioning of Edges for First and Second Order Operators
* 1993: Efficient Edge Detection Using Two Scales
* 1993: Multiscale Edge Detector, A
* 1993: Noise Estimation from Step Edge Operator Responses
* 1993: Rotation invariance in edge detection
* 1994: Effects of Edge Orientation on the Performance of 1st-Order Operators
* 1994: Optimal Thresholding for Image Segmentation
* 1994: Performance Evaluation of First Order Operators
* 1995: Adaptative elimination of false edges for first order detectors
* 1995: Competitive and Cooperative Neural Network for Line Detection, A
* 1995: On the Behavior of the Laplacian of Gaussian for Junction Models
* 1995: Selection of Edge Detectors Using Local Image Structure, The
* 1996: Isotropic Processing for Gradient Estimation
* 1997: Phase-Based Disparity Estimation: a Spatial Approach
* 1998: Knowledge Based Assistant for the Selection of Edge Detectors
* 1998: Passive Depth from Defocus Using a Spatial Domain Approach
* 1999: Cooperative Multiscale Phase-Based Disparity Algorithm, A
* 1999: Dense disparity estimation using Gabor filters and image derivatives
* 1999: Watershed-based hierarchical SAR image segmentation
* 2000: Autocovariance-based Perceptual Textural Features Corresponding to Human Visual Perception
* 2000: Automated Correction and Updating of Roads from Aerial Ortho-Images
* 2000: Computational Measures Corresponding to Perceptual Textural Features
* 2000: Contextual and non-contextual performance evaluation of edge detectors
* 2000: Detection of line junctions and line terminations using curvilinear features
* 2000: Detection of Line Junctions in Gray-level Images
* 2000: Optimal Line Detector
* 2001: Depth from Defocus Estimation in Spatial Domain
* 2001: influence of edge direction on the estimation of edge contrast and orientation, The
* 2002: Combined Estimation-Deformation Model for Area Detection: Application to Topographic Area Feature Update, A
* 2002: computational algebraic topology approach for optical flow, A
* 2002: Computational Algebraic Topology Model for the Deformation of Curves, A
* 2002: Generating cubical complexes from image data and computation of the Euler number
* 2002: Homotopy-based estimation of depth cues in spatial domain
* 2002: Learning from negative example in relevance feedback for content-based image retrieval
* 2002: Segmentation of SAR images
* 2002: Simultaneous Computation of Defocus Blur and Apparent Shifts in Spatial Domain
* 2003: Combining positive and negative examples in relevance feedback for content-based image retrieval
* 2003: Homotopy-based computation of defocus blur and affine transform
* 2003: Improved estimation of defocus blur and spatial shifts in spatial domain: a homotopy-based approach
* 2003: Road vectors update using SAR imagery: a snake-based method
* 2003: Spatial database updating using active contours for multispectral images: application with Landsat 7
* 2004: Combining visual features with semantics for a more effective image retrieval
* 2004: Image retrieval based on feature weighting and relevance feedback
* 2004: Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
* 2004: Improving CBIR systems by integrating semantic features
* 2004: Morse homology descriptor for shape characterization
* 2004: Neuroanatomy Registration: An Algebraic-Topology Based Approach
* 2004: Powerful finite mixture model based on the generalized dirichlet distribution: unsupervised learning and applications
* 2004: Recovering the shading image under known illumination
* 2004: unified approach for a simultaneous and cooperative estimation of defocus blur and spatial shifts, An
* 2004: Unsupervised learning of a finite gamma mixture using MML: Application to SAR image analysis
* 2004: Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application
* 2005: Algebraic Topology-Based Image Deformation: A Unified Model
* 2005: Automatic Segmentation Combining Mixture Analysis and Adaptive Region Information: A Level Set Approach, An
* 2005: Automatic Segmentation of Color Images by Using a Combination of Mixture Modelling and Adaptive Region Information: A Level Set Approach, An
* 2005: Behavior of the Laplacian of Gaussian Extrema
* 2005: Comparative Analysis of Image Fusion Methods, A
* 2005: MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture
* 2005: Probabilistic Approach for Shadows Modeling and Detection, A
* 2005: Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications
* 2006: Automatic Color-Texture Image Segmentation by Using Active Contours
* 2006: Global Approach for Solving Evolutive Heat Transfer for Image Denoising and Inpainting, A
* 2006: Hybrid SEM Algorithm for High-Dimensional Unsupervised Learning Using a Finite Generalized Dirichlet Mixture, A
* 2006: Object Contour Tracking in Videos by Matching Finite Mixture Models
* 2006: Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples
* 2006: Robust Video Object Tracking by Using Active Contours, A
* 2006: Visual Aspect: A Unified Content-Based Collaborative Filtering Model for Visual Document Recommendation
* 2007: Active contours for video object tracking using region, boundary and shape information
* 2007: Adaptive Appearance Model for Object Contour Tracking in Videos
* 2007: Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling, A
* 2007: Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation
* 2007: Globally adaptive region information for automatic color-texture image segmentation
* 2007: High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length
* 2007: Image Collection Organization and Its Application to Indexing, Browsing, Summarization, and Semantic Retrieval
* 2007: New Image Scaling Algorithm Based on the Sampling Theorem of Papoulis, A
* 2007: Object of Interest segmentation and Tracking by Using Feature Selection and Active Contours
* 2007: Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling, A
* 2007: Super-resolution based on interpolation and global sub pixel translation
* 2007: Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models
* 2007: Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization
* 2007: Using Feature Selection For Object Segmentation and Tracking
* 2008: approach for dynamic combination of region and boundary information in segmentation, An
* 2008: Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation
* 2008: homotopy-based approach for computing defocus blur and affine transform simultaneously, A
* 2008: New Super-Resolution Algorithm Based on Areas Pixels and the Sampling Theorem of Papoulis, A
* 2008: Simple Scaling Algorithm Based on Areas Pixels, A
* 2008: Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method
* 2009: Enhancement of the Quality of Images through Complex Mosaic Configurations
* 2009: Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering, A
* 2009: hybrid probabilistic framework for content-based image retrieval with feature weighting, A
* 2010: Asymmetric Generalized Gaussian Mixture Models and EM Algorithm for Image Segmentation
* 2010: Edge-Sensing Universal Demosaicing Algorithm, An
* 2010: Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection
* 2010: Image Quality Metrics: PSNR vs. SSIM
* 2010: Long-term relevance feedback and feature selection for adaptive content based image suggestion
* 2010: novel Bayesian logistic discriminant model: An application to face recognition, A
* 2010: Shape-Based Image Retrieval Using a New Descriptor Based on the Radon and Wavelet Transforms
* 2010: Unsupervised Feature Selection and Learning for Image Segmentation
* 2011: Content Makes the Difference in Compression Standard Quality Assessment
* 2011: Edge-Sensing Generic Demosaicing Algorithm With Application to Image Resampling, An
* 2011: Reducing aliasing in images: A simple diffusion equation based on the inverse diffusivity
* 2012: Improving Image Acquisition: A Fish-Inspired Solution
* 2012: Nature-inspired color-filter array for enhancing the quality of images
* 2012: Object Recognition Using Radon Transform-Based RST Parameter Estimation
* 2012: Terahertz image segmentation based on K-harmonic-means clustering and statistical feature extraction modeling
* 2013: Color Correction Problem of Image Displayed on Non-white Projection Screen
* 2013: Exploiting Color Constancy for Compensating Projected Images on Non-white Light Projection Screen
* 2013: Is there a relationship between peak-signal-to-noise ratio and structural similarity index measure?
* 2014: Fast Exposure Fusion Based on Histograms Segmentation
* 2014: Generalized Exposure Fusion Weights Estimation
* 2014: local approach for 3D object recognition through a set of size functions, A
* 2015: Anisotropic adaptive method for triangular meshes smoothing
* 2015: Automated feature weighting and random pixel sampling in k-means clustering for terahertz image segmentation
* 2015: Color Space Identification for Image Display
* 2015: Global diffusion method for smoothing triangular mesh
* 2015: Head Pose Classification Using a Bidimensional Correlation Filter
* 2015: Ranked k-means clustering for terahertz image segmentation
* 2015: Similarity transformation parameters recovery based on Radon transform. Application in image registration and object recognition
* 2016: Computer Vision Color Constancy from Maximal Projections Mean Assumption
* 2017: Classification Using Mixture of Discriminative Learners: The Case of Compositional Data
* 2017: K-Autoregressive Clustering: Application on Terahertz Image Analysis
* 2017: Light Field Estimation in the Ultraviolet Spectrum
* 2017: Localisation of topological features using 3D object representations
* 2017: Multiple illuminant estimation from the covariance of colors
* 2017: multiresolution DCT-based blind blur quality measure, A
* 2018: Histogram modelling-based no reference blur quality measure
* 2019: novel correlation filter based on variational calculus, A
* 2019: novel correlation filter based on variational calculus, A
* 2020: Directional statistics-based quality measure for spotlight color images
* 2020: Light field variational estimation using a light field formation model
* 2021: 3D object recognition through a size function resulting from an invariant topological feature
* 2021: Learning-Based Satisfied User Ratio Prediction for Symmetrically and Asymmetrically Compressed Stereoscopic Images
* 2021: Scale space Radon transform
* 2022: Scale Space Radon Transform for Non Overlapping Thick Ellipses Detection
Includes: Ziou, D.[Djemel] Ziou, D.
136 for Ziou, D.
Zioulis, N.[Nikolaos]
* 2014: Fast and smooth 3D reconstruction using multiple RGB-Depth sensors
* 2016: 3D tele-immersion platform for interactive immersive experiences between remote users
* 2017: Integrated Platform for Live 3D Human Reconstruction and Motion Capturing, An
* 2018: Fast deformable model-based human performance capture and FVV using consumer-grade RGB-D sensors
* 2018: OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
* 2019: 360° Surface Regression with a Hyper-Sphere Loss
* 2019: Self-Supervised Deep Depth Denoising
* 2019: Space Wars: An AugmentedVR Game
* 2019: Spherical View Synthesis for Self-Supervised 360° Depth Estimation
* 2019: Subjective Visual Quality Assessment of Immersive 3D Media Compressed by Open-Source Static 3D Mesh Codecs
* 2020: Deep Lighting Environment Map Estimation from Spherical Panoramas
* 2020: Experimental Assessment of 3d Narrow Space Mapping Technologies
* 2021: PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes
* 2021: Single-shot cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas
* 2022: Low-cost & Realtime Motion Capture System, A
* 2022: Monocular spherical depth estimation with explicitly connected weak layout cues
* 2023: KBody: Balanced monocular whole-body estimation
* 2023: KBody: Towards general, robust, and aligned monocular whole-body estimation
* 2023: Noise-in, Bias-out: Balanced and Real-time MoCap Solving
Includes: Zioulis, N.[Nikolaos] Zioulis, N.
19 for Zioulis, N.