*Imiya, A.[Atsushi]*
**Co Author Listing** * Affine Colour Optical Flow Computation

* Alignment and Morphing for the Boundary Curves of Anatomical Organs

* 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

* 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]

126 for Imiya, A.

Last update:20-Oct-21 10:55:30

Use price@usc.edu for comments.