Index for heit

Heit, B. Co Author Listing * Monocular depth perception by evaluation of the blur in defocused images
* Retina simulation using cellular automata and GPU programming
* Visual Depth Perception Based on Optical Blur
Includes: Heit, B. Heit, B.[Bernard]

Heitger, F. Co Author Listing * Computational Model of Neural Contour Processing: Figure-Ground Segregation and Illusory Contours, A
* Detection of general edges and keypoints
* Extraction of Boundary Keypoints and Completion of Simple Figures
* Feature Detection using Suppression and Enhancement
* Real-time 2D feature detection with low-level image processing algorithms on smart CCD/CMOS image sensors
* Role of Key-Points in Finding Contours, The
* Simulation of Neural Contour Mechanisms: Representing Anomalous Contours
Includes: Heitger, F. Heitger, F.[Friedrich]
7 for Heitger, F.

Heithausen, C. Co Author Listing * Geometry-adaptive motion partitioning using improved temporal prediction
* Improved higher order motion compensation in HEVC with block-to-block translational shift compensation

Heitholt, J.[James] Co Author Listing * Quantification and Mapping of Satellite Driven Surface Energy Balance Fluxes in Semi-Arid to Arid Inter-Mountain Region

Heitkemper, P. Co Author Listing * Texture Features Based on Gabor Phase

Heitkonig, I.M.A. Co Author Listing * Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data
* Remote sensing of forage nutrients: Combining ecological and spectral absorption feature data
* Water-removed spectra increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus concentrations
Includes: Heitkonig, I.M.A. Heitkönig, I.M.A. (Maybe also Heitkoenig, I.M.A.)Heitkönig, I.M.A.[Ignas M.A.] (Maybe also Heitkoenig, I.M.A.)Heitkonig, I.M.A.[Ignas M.A.]

Heitmann, J.[Jurgen] Co Author Listing * Conversion of the scanning line count of television pictures
* Potential of Reflectance and Laser Induced Luminescence Spectroscopy for Near-Field Rare Earth Element Detection in Mineral Exploration, The
Includes: Heitmann, J.[Jurgen] Heitmann, J.[Johannes]

Heitmann, M. Co Author Listing * Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections

Heittola, T.[Toni] Co Author Listing * TUT Acoustic Event Detection System 2007

Heitz, D.[Dominique] Co Author Listing * Bayesian Estimation of Turbulent Motion
* Bayesian selection of scaling laws for motion modeling in images
* Self-similar regularization of optic-flow for turbulent motion estimation

Heitz, F.[Fabrice] Co Author Listing * 3-D Deformable Image Registration: A Topology Preservation Scheme Based on Hierarchical Deformation Models and Interval Analysis Optimization
* 3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions
* Accurate Inversion of 3-D Transformation Fields
* Affine-Invariant Geometric Shape Priors for Region-Based Active Contours
* Affine-Invariant Multi-reference Shape Priors for Active Contours
* Construction of a 3d Physically-based Multi-object Deformable Model
* Discrete Markov Image Modeling and Inference on the Quadtree
* efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration, An
* Efficient Parallel Multigrid Relaxation Algorithms for Markov Random Field-Based Low-Level Vision Applications
* Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation
* Geometric shape priors for region-based active contours
* Gesture Localization and Recognition Using Probabilistic Visual Learning
* Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis
* Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes, A
* Hierarchical Statistical Framework for the Segmentation of Deformable Objects in Image Sequences, A
* Hierarchical Statistical Models for the Fusion of Multiresolution Image Data
* Introducing shape priors in object-based tomographic reconstruction
* Joint Physics-Based Statistical Deformable Model for Multimodal Brain Image Analysis, A
* low complexity approximation of probabilistic appearance models, A
* Markov Random-Field Model-Based Approach to Unsupervised Texture Segmentation Using Local and Global Spatial Statistics, A
* Mean shift-based Bayesian image reconstruction into visual subspace
* Multi-Reference Shape Priors for Active Contours
* Multimodal Estimation of Discontinuous Optical Flow Using Markov Random Fields
* Multimodal image registration using statistically constrained deformable multimodels
* Multimodal Motion Estimation and Segmentation Using Markov Random Fields
* Multiresolution EM Algorithm for Unsupervised Image Classification Using a Quadtree Model, A
* Multiscale Minimization of Global Energy Functions in Some Visual Recovery Problems
* Parallel Visual Motion Analysis Using Multiscale Markov Random Fields
* Physically-Based Statistical Deformable Model for Brain Image Analysis, A
* Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces
* Robust Registration of Dissimilar Single and Multi-Modal Images
* Robust tracking of stochastic deformable models in long image sequences
* Robust Visual Recognition of Color Images
* Robust voxel similarity metrics for the registration of dissimilar single and multimodal images
* Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels
* Spatially Constrained Online Dictionary Learning for Source Separation
* Spatio-temporal Segmentation Using 3d Morphological Tools
* Statistical atlas-based sub-voxel segmentation of 3d brain MRI
* Statistical Deformable Model-Based Segmentation of Image Motion
* Statistical Model-Based Estimation and Tracking of Non-Rigid Motion
* Statistical Model-Based Segmentation of Deformable Motion
* Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models
* Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images, A
* Unsupervised Learning and Mapping of Active Brain Functional MRI Signals Based on Hidden Semi-Markov Event Sequence Models
* Unsupervised learning-based long-term superpixel tracking
* Unsupervised Nonlinear Manifold Learning
* Unsupervised Statistical Detection of Changing Objects in Camera-in-motion Video
Includes: Heitz, F.[Fabrice] Heitz, F.
47 for Heitz, F.

Heitz, G.[Geremy] Co Author Listing * email: Heitz, G.[Geremy]: gaheitz AT cs stanford edu
* Automatic Generation of Shape Models Using Nonrigid Registration with a Single Segmented Template Mesh
* Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
* Learning Object Shape: From Drawings to Images
* Learning Spatial Context: Using Stuff to Find Things
* Object separation in x-ray image sets
* Shape-Based Object Localization for Descriptive Classification
7 for Heitz, G.

Heitz, L.[Lucien] Co Author Listing * Videograph: Towards Using Knowledge Graphs for Interactive Video Retrieval

Heitz, M.[Matthieu] Co Author Listing * Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning

Heitzinger, T.[Thomas] Co Author Listing * IPT: A Dataset for Identity Preserved Tracking in Closed Domains

Heitzler, M.[Magnus] Co Author Listing * Light Source Metaphor Revisited: Bringing an Old Concept for Teaching Map Projections to the Modern Web, The
* method to visualize the evolution of multiple interacting spatial systems, A

Index for "h"

Last update: 9-Jun-21 21:30:16
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