Imiya, A.[Atsushi]
Co Author Listing * Affine Colour Optical Flow Computation
* Alignment and Morphing for the Boundary Curves of Anatomical Organs
* alpha-Pixels for Hierarchical Analysis of Digital Objects
* Analysis of Multilinear Subspaces Based on Geodesic Distance
* Appearance-based navigation and homing for autonomous mobile robot
* Approximation of N-Way Principal Component Analysis for Organ Data
* Bifurcation of Segment Edge Curves in Scale Space
* Boundary Extraction of Discrete Objects
* Circle-Marker Detection Method for Omnidirectional Images and its Application to Robot Positioning
* Classification of Optical Flow by Constraints
* Classification of Volumetric Data Using Multiway Data Analysis
* Combination of supervised and unsupervised methods for navigation path mining
* Combinatorial boundary of a 3D lattice point set
* Combinatorial Properties of Scale Space Singular Points
* Computing the Local Continuity Order of Optical Flow Using Fractional Variational Method
* Continuity Order of Local Displacement in Volumetric Image Sequence
* Convergence Proof for the Horn-Schunck Optical-Flow Computation Scheme Using Neighborhood Decomposition, A
* Corridor Navigation and Obstacle Avoidance using Visual Potential for Mobile Robot
* Decomposition and construction of higher-dimensional neighbourhood operations
* Decomposition and Construction of Neighbourhood Operations Using Linear Algebra
* Deformation of discrete object surfaces
* Detection of Piecewise-Linear Signals by the Randomized Hough Transform
* Detection of spatial points and lines by random sampling and voting procedure
* Digital Curvature Flow and Its Application for Skeletonization
* Dimension Reduction and Construction of Feature Space for Image Pattern Recognition
* Discrete Combinatorial Geometry
* Discrete Mean Curvature Flow
* Discriminative Properties in Directional Distributions for Image Pattern Recognition
* Docking of Polygons Using Boundary Descriptor
* Dominant plane detection from optical flow for robot navigation
* Dynamic Multiresolution Optical Flow Computation
* Edge Detection and Smoothing-filter of Volumetric Data
* Euler Characteristics of Discrete Objects and Discrete Quasi-Objects, The
* Event Extraction Using Transportation of Temporal Optical Flow Fields
* Extraction of Structure Feature from Three-Dimensional Object by Scale-Space Analysis
* Extraction of Topological Features from Sequential Volume Data
* Fast Approximate Karhunen-Loeve Transform for Three-Way Array Data
* Figure Field Analysis of Linear Scale-Space Image
* Free Space Detection from Catadioptric Omnidirectional Images for Visual Navigation using Optical Flow
* Geometrical and Statistical Properties of the Rational Order Pyramid Transform and Dilation Filtering
* Global Image Registration by Fast Random Projection
* Global Volumetric Image Registration Using Local Linear Property of Image Manifold
* Gradient Structure of Image in Scale Space
* Hierarchical Properties of Multi-resolution Optical Flow Computation
* Hierarchical Tree of Image Derived by Diffusion Filtering
* Homage to Professor Maria Petrou
* Independent Component Analysis of Layer Optical Flow and Its Application
* Interpolation of Reference Images in Sparse Dictionary for Global Image Registration
* Inverse Quantization for Resolution Conversion
* Inverse quantization of digital binary images for resolution conversion
* Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation, An
* Laplacian Based Non-Linear Diffusion Filtering
* Learning dimensionality and orientations of 3D objects
* Linear Data Compression of Hyperspectral Images
* Linear Scale-Space has First been Proposed in Japan
* Local Affine Optical Flow Computation
* Low-Dimensional Tensor Principle Component Analysis
* Marching Cubes Method with Connectivity
* Mathematical aspects of shape reconstruction from an image sequence
* Mathematical Aspects of Tensor Subspace Method
* Mean Boundary Curve of Anatomical Objects, The
* Medial Set, Boundary, and Topology of Random Point Sets
* Metric For Spatial Lines, A
* Model-Based Plane-Segmentation Using Optical Flow and Dominant Plane
* Motion Analysis by Random Sampling and Voting Process
* Motion Language of Stereo Image Sequence
* Multi-label Classification for Image Annotation via Sparse Similarity Voting
* Multilinear Methods for Spatio-Temporal Image Recognition
* Multilinear Subspace Method Based on Geodesic Distance for Volumetric Object Classification
* Multiple Alignment of Spatiotemporal Deformable Objects for the Average-Organ Computation
* Multiresolution Optical Flow Computation of Spherical Images
* Multiscale Analysis of Volumetric Motion Field Using General Order Prior
* N-Point Hough Transform Derived by Geometric Duality
* N-Point Hough transform for line detection
* On Performance Analysis of Optical Flow Algorithms
* On the History of Gaussian Scale-Space Axiomatics
* Optical Flow Computation from an Asynchronised Multiresolution Image Sequence
* Optical Flow Computation with Locally Quadratic Assumption
* Panoramic Image Transform of Omnidirectional Images Using Discrete Geometry Techniques
* Pattern recognition in multilinear space and its applications: mathematics, computational algorithms and numerical validations
* PDE Based Method for Superresolution of Gray-Level Images
* Planar Motion Detection By Randomized Triangle Matching
* Polyhedral set operations for 3D discrete object deformation
* Principal curve analysis for temporal data
* Pyramid Transform and Scale-Space Analysis in Image Analysis
* Randomized algorithm of spectral clustering and image/video segmentation using a minority of pixels
* Randomized Hough Transform for Spherical Images, The
* Randomized Polygon Search for Planar Motion Detection
* randomized-Hough-transform-based method for great-circle detection on sphere, The
* Reconstruction of Euclidean planes from voxels
* Reconstruction of rotatory moving image from projections
* Reconstruction, Recognition, and Representation of Trees
* Regularity and Scale-Space Properties of Fractional High Order Linear Filtering
* Resolution conversion of gray-level images by discrete geometry
* Scale Space Hierarchy of Segments
* Scale-Space Clustering on a Unit Hypersphere
* Scale-Space Clustering on the Sphere
* Scale-Space Clustering with Recursive Validation
* Semantic Segmentation of Low Frame-Rate Image Sequence Using Statistical Properties of Optical Flow for Remote Exploration
* Shape from Silhouettes in Discrete Space
* Shape Reconstruction by Line Voting in Discrete Space
* Shape Reconstruction from an Image Sequence
* Spatial reasoning for robot navigation using the Helmholtz-Hodge decomposition of omnidirectional optical flow
* Statistical Method for Semantic Segmentation of Dominant Plane from Remote Exploration Image Sequence
* Statistically Valid Graph Representations of Scale-Space Geometry
* Subspace Discrimination Method for Images Using Singular Value Decomposition
* Subvoxel Super-Resolution of Volumetric Motion Field Using General Order Prior
* Supercover of Non-square and Non-cubic Grids
* Symmetry detection by random sampling and voting process
* Temporal Structure Tree in Digital Linear Scale Space
* Thinning by Curvature Flow
* Topological Labelling of Scene using Background/Foreground Separation and Epipolar Geometry
* Topology-Preserving Dimension-Reduction Methods for Image Pattern Recognition
* Two Step Variational Method for Subpixel Optical Flow Computation
* Two-Dimensional Global Image Registration Using Local Linear Property of Image Manifold
* Unification of Multichannel Motion Feature Using Boolean Polynomial
* Validation of Watershed Regions by Scale-Space Statistics
* Variational Analysis of Spherical Images
* Variational Deformation Method for the Computation of the Average Shape of Organs
* Variational Image Registration for Inhomogeneous-Resolution Pairs
* Variational Method for Computing Average Images of Biological Organs
* Variational Multiple Warping for Cardiac Image Analysis
* Visual Navigation of Mobile Robot Using Optical Flow and Visual Potential Field
* Volumetric Image Pattern Recognition Using Three-Way Principal Component Analysis
* Voting method for planarity and motion detection
* Voting Method for Stable Range Optical Flow Computation
* Voting method for the detection of subpixel flow field
* William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion, The
Includes: Imiya, A.[Atsushi] Imiya, A. Imiya, A.[Atusihi]
128 for Imiya, A.