Socas Navarro, H.[Hector]
* Polarimetric calibration of large-aperture telescopes. I. Beam-expansion method
* Polarimetric calibration of large-aperture telescopes. II. Subaperture method
Includes: Socas Navarro, H.[Hector] Socas-Navarro, H.[Hector]
Socas, R.[Rafael]
* Human Hand Postures And Gestures Recognition: Towards A Human-Gesture Communication Interface
Socci, L.
* Computational Patient-Specific Models Based on 3-D Ultrasound Data to Quantify Uterine Arterial Flow During Pregnancy
Soccol, D.
* Optical System for Guidance of Terrain Following in UAVs, An
Socek, D.[Daniel]
* Permutation-Based Correlation-Preserving Encryption Method for Digital Videos, A
Socha, M.
* Fast Estimation of Broncho-Fiberoscope Egomotion for Ct-Guided Transbronchial Biopsy
Sochen, N.[Nir]
* Fast Invariant Riemannian DT-MRI Regularization
Sochen, N.A.[Nir A.]
* Home Page.
* email: Sochen, N.A.[Nir A.]: sochen AT math.tau.ac.il
* Affine Invariant Flows in the Beltrami Framework
* Anisotropic alpha-Kernels and Associated Flows
* Beltrami flow over implicit manifolds, The
* Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging
* Combing porcupine via stereographic direction diffusion
* Complete System of Measurement Invariants for Abelian Lie Transformation Groups, A
* Complex diffusion processes for image filtering
* Coordinate-Free Diffusion over Compact Lie-Groups
* Deblurring of Color Images Corrupted by Impulsive Noise
* Diffusions and Confusions in Signal and Image Processing
* Efficient anisotropic alpha-Kernels decompositions and flows
* Efficient Beltrami Flow Using a Short Time Kernel
* Estimation of Optimal PDE-Based Denoising in the SNR Sense
* Estimation of the Optimal Variational Parameter via SNR Analysis
* Forward-and-backward diffusion processes for adaptive image enhancement and denoising
* From High Energy Physics to Low Level Vision
* Full Affine Wavelets Are Scale-Space with a Twist
* Gabor Feature Space Diffusion via the Minimal Weighted Area Method
* General Framework and New Alignment Criterion for Dense Optical Flow, A
* General Framework for Low-Level Vision, A
* Geodesic active contours applied to texture feature space
* Geometric Approach for Regularization of the Data Term in Stereo-Vision, A
* Geometric Functional for Gradient Approximation, A
* Geometric-Variational Approach for Color Image Enhancement and Segmentation
* Geometry motivated variational segmentation for color images
* Image Deblurring in the Presence of Impulsive Noise
* Image Deblurring in the Presence of Salt-and-Pepper Noise
* Image Enhancement and Denoising by Complex Diffusion Processes
* Image Enhancement Segmentation and Denoising by Time Dependent Nonlinear Diffusion Processes
* Image Sharpening by Flows Based on Triple Well Potentials
* Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images
* Images as Embedding Maps and Minimal Surfaces: A Unified Approach for Image Diffusion
* Images as Embedding Maps and Minimal Surfaces: Movies, Color, and Volumetric Medical Images
* Integrated Active Contours for Texture Segmentation
* Maximum Principle for Beltrami Color Flow, The
* Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation, A
* Mutual Segmentation with Level Sets
* new perspective [on] shape-from-shading, A
* Non-isotropic regularization of the correspondence space in stereo-vision
* On affine Invariance in the Beltrami Framework for Vision
* On the Discrete Maximum Principle for the Beltrami Color Flow
* Orientation Diffusion or How to Comb a Porcupine
* PDE-based denoising of complex scenes using a spatially-varying fidelity term
* Perspective shape-from-shading by fast marching
* Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
* Prior-Based Segmentation by Projective Registration and Level Sets
* Reconstruction of medical images by perspective shape-from-shading
* Regularized Shock Filters and Complex Diffusion
* Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space
* Restoration of Images with Piecewise Space-Variant Blur
* Scale-Space Generation via Uncertainty Principles
* Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-Like Functional
* Segmentation by Level Sets and Symmetry
* Semi-Blind Image Restoration Via Mumford-Shah Regularization
* Shape-Based Mutual Segmentation
* Shape-from-Shading Under Perspective Projection
* Short- Time Beltrami Kernel for Smoothing Images and Manifolds, A
* Special issue for the 5th International Conference on Scale-Space and PDE Methods in Computer Vision
* Stochastic Processes in Vision: From Langevin to Beltrami
* Texture segmentation via a diffusion-segmentation scheme in the Gabor feature space
* Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling
* Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties, The
* Using Beltrami Framework for Orientation Diffusion in Image Processing
* Variational Beltrami flows over manifolds
* Variational blind deconvolution of multi-channel images
* Variational Denoising of Partly Textured Images by Spatially Varying Constraints
* Variational Pairing of Image Segmentation and Blind Restoration
* Variational Restoration and Edge Detection for Color Images
* Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling
Includes: Sochen, N.A.[Nir A.] Sochen, N.A.
71 for Sochen, N.A.
Socher, G.
* 3-D Reconstruction and Camera Calibration from Images with known Objects
* Bayesian reasoning on qualitative descriptions from images and speech
* Integration of Vision and Speech Understanding Using Bayesian Networks
* Motion Boundary Detection in Image Sequences by Local Stochastic Tests
* Multilevel Integration of Vision and Speech Understanding Using Bayesian Networks
* Talking About 3D Scenes: Integration of Image and Speech Understanding in a Hybrid Distributed System
Includes: Socher, G. Socher, G.[Gudrun]
Sochman, J.
* Adaboost with totally corrective updates for fast face detection
* Inter-stage feature propagation in cascade building with adaboost
* Learning a Fast Emulator of a Binary Decision Process
* WaldBoost: Learning for Time Constrained Sequential Detection
Includes: Sochman, J. Šochman, J.[Jan]
Socolinsky, D.A.[Diego A.]
* Brain Imaging Registration by Correlation of First Order Geometry
* comparative analysis of face recognition performance with visible and thermal infrared imagery, A
* Design and Deployment of Visible-Thermal Biometric Surveillance Systems
* Face Recognition in the Dark
* Face recognition with visible and thermal infrared imagery
* Illumination Invariant Face Recognition Using Thermal Infrared Imagery
* Image Intensification for Low-Light Face Recognition
* Multispectral image visualization through first-order fusion
* Multispectral Optic Flow
* New Perspectives on Geometric Reflection Theory From Rough Surfaces
* New Visualization Paradigm for Multispectral Imagery and Data Fusion, A
* Optimal Grayscale Visualization of Local Contrast in Multispectral Imagery
* Quantitative Measurement of Illumination Invariance for Face Recognition Using Thermal Infrared Imagery
* Thermal face recognition in an operational scenario
* Thermal face recognition over time
* Tracking Human Faces in Infrared Video
Includes: Socolinsky, D.A.[Diego A.] Socolinsky, D.A.
16 for Socolinsky, D.A.
Socoro, J.C.
* Nonlinear image analysis for fuzzy classification of breast cancer
Socorro, R.[Raisa]
* Use of Structured Pattern Representations for Combining Classifiers