Kimm, H.[Haklin]
* 2014: Comparative Evaluation of Edge Linking Methods Using Markov Chain and Regression Applied Heuristic
Kimm, M.A.
* 2020: Revealing the Microscopic Structure of Human Renal Cell Carcinoma in Three Dimensions
* 2022: Multi-Scale Investigation of Human Renal Tissue in Three Dimensions
Kimm, S.[Simon]
* 2022: Modeling for Stock Trends: A Study of Two-Stage Pattern Strategy
Kimme, C.
* 1975: Finding Circles by an Array of Accumulators
Kimmel, E.
* 1993: Machine identification of buds in images of plant shoots
Kimmel, R.[Ron]
* 1993: Implementing continuous-scale morphology via curve evolution
* 1993: Shape offsets via level sets
* 1993: Sub-Pixel Distance Maps and Weighted Distance Transforms
* 1993: Tracking Level Sets by Level Sets: A Method for Solving the Shape from Shading Problem
* 1994: Global Shape from Shading
* 1994: Using multi-layer distance maps for motion planning on surfaces with moving obstacles
* 1995: Edge Integration Using Minimal Geodesics
* 1995: Edge Integration Using Minimal Geodesics
* 1995: Finding Shortest Paths on Surfaces Using Level Sets Propagation
* 1995: Geodesic Active Contours
* 1995: Global Shape from Shading
* 1995: Minimal Surfaces: A Three-Dimensional Segmentation Approach
* 1995: Shape from Shading: Level Set Propagation and Viscosity Solutions
* 1995: Skeletonization via Distance Maps and Level Sets
* 1995: Tracking Level Sets by Level Sets: A Method for Solving the Shape from Shading Problem
* 1996: Affine Differential Signatures for Gray Level Images of Planar Shapes
* 1996: Fast Marching the Global Minimum of Active Contours
* 1996: Geometric Approach to Segmentation and Analysis of 3D Medical Images, A
* 1996: Global Minimum for Active Contour Models: A Minimum Path Approach
* 1996: Global Shape from Shading
* 1996: Planar Shape Enhancement and Exaggeration
* 1996: Sub-Pixel Distance Maps and Weighted Distance Transforms
* 1996: Three Dimensional Object Modeling via Minimal Surfaces
* 1997: Analyzing and Synthesizing Images by Evolving Curves with the Osher-Sethian Method
* 1997: From High Energy Physics to Low Level Vision
* 1997: Geodesic Active Contours
* 1997: Global Minimum for Active Contour Models: A Minimal Path Approach
* 1997: Images as Embedding Maps and Minimal Surfaces: A Unified Approach for Image Diffusion
* 1997: Images as Embedding Maps and Minimal Surfaces: Movies, Color, and Volumetric Medical Images
* 1997: Intrinsic Scale Space for Images on Surfaces: The Geodesic Curvature Flow
* 1997: Intrinsic Scale Space for Images on Surfaces: The Geodesic Curvature Flow
* 1997: Minimal-Surfaces Based Object Segmentation
* 1998: Demosaicing: Image Reconstruction from Color CCD Samples
* 1998: General Framework for Low-Level Vision, A
* 1998: Multivalued Distance Maps for Motion Planning on Surfaces with Moving Obstacles
* 1998: Planar Shape Enhancement and Exaggeration
* 1999: Demosaicing: Image Reconstruction from Color CCD Samples
* 1999: Fast geodesic active contours
* 1999: Geometric-Variational Approach for Color Image Enhancement and Segmentation
* 2000: Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images
* 2001: accurate operator splitting scheme for nonlinear diffusion filtering, An
* 2001: Bending Invariant Representations for Surfaces
* 2001: Combing porcupine via stereographic direction diffusion
* 2001: Computational Surface Flattening: A Voxel-Based Approach
* 2001: Cortex Segmentation: A Fast Variational Geometric Approach
* 2001: Diffusions and Confusions in Signal and Image Processing
* 2001: Down-scaling for better transform compression
* 2001: Efficient Computation of Adaptive Threshold Surfaces for Image Binarization
* 2001: Fast geodesic active contours
* 2001: Geometry motivated variational segmentation for color images
* 2001: Optimal Algorithm for Shape from Shading and Path Planning
* 2001: Using Beltrami Framework for Orientation Diffusion in Image Processing
* 2002: 3D Shape Reconstruction from Autostereograms and Stereo
* 2002: Computational Surface Flattening: A Voxel-Based Approach
* 2002: Cortex Segmentation: A Fast Variational Geometric Approach
* 2002: Dynamism of a Dog on a Leash or Behavior Classification by Eigen-Decomposition of Periodic Motions
* 2002: Efficient Dilation, Erosion, Opening, and Closing Algorithms
* 2002: Orientation Diffusion or How to Comb a Porcupine
* 2003: Down-scaling for better transform compression
* 2003: Efficient Beltrami Flow Using a Short Time Kernel
* 2003: Expression-Invariant 3D Face Recognition
* 2003: Geometric segmentation of 3D structures
* 2003: Multiplicative Operator Splittings in Nonlinear Diffusion: From Spatial Splitting to Multiple Timesteps
* 2003: On bending invariant signatures for surfaces
* 2003: Reduced complexity Retinex algorithm via the variational approach
* 2003: Regularized Laplacian Zero Crossings as Optimal Edge Integrators
* 2003: Variational Framework for Retinex, A
* 2003: Variational Restoration and Edge Detection for Color Images
* 2004: Face Recognition from Facial Surface Metric
* 2004: Fusion of 2D and 3D data in three-dimensional face recognition
* 2005: Behavior classification by eigendecomposition of periodic motions
* 2005: Enhancing Images Painted on Manifolds
* 2005: Expression-Invariant Face Recognition via Spherical Embedding
* 2005: Isometric Embedding of Facial Surfaces into S3
* 2005: Numerical Geometry of Images: Theory, Algorithms, and Applications
* 2005: On Similarity-Invariant Fairness Measures
* 2005: Space-Dependent Color Gamut Mapping: A Variational Approach
* 2005: Texture Mapping via Spherical Multi-dimensional Scaling
* 2005: Three-Dimensional Face Recognition
* 2006: Efficient Computation of Adaptive Threshold Surfaces for Image Binarization
* 2006: Facetoface: An Isometric Model for Facial Animation
* 2006: Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling
* 2006: Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction
* 2006: Robust Expression-Invariant Face Recognition from Partially Missing Data
* 2006: Segmentation of Thin Structures in Volumetric Medical Images
* 2006: Special issue for the 5th International Conference on Scale-Space and PDE Methods in Computer Vision
* 2007: Efficient Beltrami Filtering of Color Images Via Vector Extrapolation
* 2007: Expression-Invariant Representations of Faces
* 2007: Low Bit-Rate Compression of Facial Images
* 2007: Paretian Similarity for Partial Comparison of Non-rigid Objects
* 2007: Rock, Paper, and Scissors: Extrinsic vs. intrinsic similarity of non-rigid shapes
* 2007: Role of optics in the accuracy of depth-from-defocus systems
* 2007: Short- Time Beltrami Kernel for Smoothing Images and Manifolds, A
* 2007: Symmetries of non-rigid shapes
* 2008: Analysis of Two-Dimensional Non-Rigid Shapes
* 2008: Numerical Geometry of Non-Rigid Shapes
* 2008: Over-Parameterized Variational Optical Flow
* 2008: Topologically Constrained Isometric Embedding
* 2009: 3D-color video camera
* 2009: Efficient Beltrami Image Filtering Via Vector Extrapolation Methods
* 2009: On reconstruction of non-rigid shapes with intrinsic regularization
* 2009: On Scene Segmentation and Histograms-Based Curve Evolution
* 2009: On Semi-implicit Splitting Schemes for the Beltrami Color Flow
* 2009: Partial Similarity of Objects, or How to Compare a Centaur to a Horse
* 2009: Topology-Invariant Similarity of Nonrigid Shapes
* 2010: Diffusion symmetries of non-rigid shapes.
* 2010: Full and Partial Symmetries of Non-rigid Shapes
* 2010: Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching, A
* 2010: Matching shapes by eigendecomposition of the Laplace-Beltrami operator
* 2010: Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding
* 2010: SHREC'10 Track: Correspondence Finding
* 2010: Volumetric heat kernel signatures
* 2011: Affine-invariant diffusion geometry for the analysis of deformable 3D shapes
* 2011: Are MSER Features Really Interesting?
* 2011: Deformable Shape Retrieval by Learning Diffusion Kernels
* 2011: Efficient Beltrami Flow in Patch-Space
* 2011: Equi-Affine Invariant Geometries of Articulated Objects
* 2011: Fast Regularization of Matrix-Valued Images
* 2011: Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes
* 2011: Hierarchical Matching of Non-rigid Shapes
* 2011: Measuring Geodesic Distances via the Uniformization Theorem
* 2011: On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering
* 2011: Over-Parameterized Optical Flow Using a Stereoscopic Constraint
* 2011: Photometric Heat Kernel Signatures
* 2012: Affine-Invariant Photometric Heat Kernel Signatures
* 2012: Articulated Motion Segmentation Of Point Clouds by Group-Valued Regularization
* 2012: Fast Regularization of Matrix-Valued Images
* 2012: Group-Valued Regularization for Analysis of Articulated Motion
* 2012: Intrinsic Local Symmetries: A Computational Framework
* 2012: Schrödinger Diffusion for Shape Analysis with Texture
* 2012: Sparse Modeling of Shape from Structured Light
* 2012: Virtual exertions: A user interface combining visual information, kinesthetics and biofeedback for virtual object manipulation
* 2013: Active Contours for Multi-region Image Segmentation with a Single Level Set Function
* 2013: Conformal Mapping with as Uniform as Possible Conformal Factor
* 2013: Direct Shape Recovery from Photometric Stereo with Shadows
* 2013: Graph Isomorphisms and Automorphisms via Spectral Signatures
* 2013: Laplace-Beltrami Operator: A Ubiquitous Tool for Image and Shape Processing, The
* 2013: Perspective Photometric Stereo with Shadows
* 2013: Scale Invariant Geometry for Nonrigid Shapes
* 2013: Spectral multidimensional scaling
* 2014: Close-Range Photometric Stereo with Point Light Sources
* 2014: Equi-affine Invariant Geometry for Shape Analysis
* 2014: Image editing using level set trees
* 2014: Iterative Closest Spectral Kernel Maps
* 2014: Near Field Photometric Stereo with Point Light Sources
* 2015: Affine Invariant Geometry for Non-rigid Shapes
* 2015: Classical Scaling Revisited
* 2015: Computational caricaturization of surfaces
* 2015: Freehand Laser Scanning Using Mobile Phone
* 2015: Improving 3D Facial Action Unit Detection with Intrinsic Normalization
* 2015: Multi-Region Active Contours with a Single Level Set Function
* 2015: On convex relaxation of graph isomorphism
* 2015: On the Optimality of Shape and Data Representation in the Spectral Domain
* 2015: RGBD-fusion: Real-time high precision depth recovery
* 2015: Rule of thumb: Deep derotation for improved fingertip detection
* 2015: Spectral gradient fields embedding for nonrigid shape matching
* 2015: Spectral Perspective on Shapes, A
* 2016: 3D Face Reconstruction by Learning from Synthetic Data
* 2016: Consistent Discretization and Minimization of the L1 Norm on Manifolds
* 2016: Real-Time Depth Refinement for Specular Objects
* 2016: Spectral Generalized Multi-dimensional Scaling
* 2017: Geodesic Distance Descriptors
* 2017: Learning Detailed Face Reconstruction from a Single Image
* 2017: Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
* 2018: Fast Blended Transformations for Partial Shape Registration
* 2018: High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks
* 2018: Self Functional Maps
* 2018: Sparse Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator
* 2018: Specular-to-Diffuse Translation for Multi-view Reconstruction
* 2019: Deep Eikonal Solvers
* 2019: DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling
* 2019: Momenet: Flavor the Moments in Learning to Classify Shapes
* 2019: Unsupervised Learning of Dense Shape Correspondence
* 2020: Do We Need Depth in State-Of-The-Art Face Authentication?
* 2020: Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling
* 2020: Intel® RealSense™ SR300 Coded Light Depth Camera
* 2020: LIMP: Learning Latent Shape Representations with Metric Preservation Priors
* 2020: Towards Precise Completion of Deformable Shapes
* 2021: Color Elastica Model for Vector-Valued Image Regularization, A
* 2021: Provably Approximated Point Cloud Registration
* 2022: Deep Isometric Maps
* 2022: Multimodal Colored Point Cloud to Image Alignment
* 2022: Unsupervised High-Fidelity Facial Texture Generation and Reconstruction
* 2023: Deep Accurate Solver for the Geodesic Problem
* 2023: Elastica Models for Color Image Regularization
* 2023: Learning Differential Invariants of Planar Curves
* 2023: Partial Shape Similarity by Multi-Metric Hamiltonian Spectra Matching
* 2024: FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions
Includes: Kimmel, R.[Ron] Kimmel, R. Kimmel, R.[Ryan]
188 for Kimmel, R.
Kimmel, S.C.
* 2017: Current US Federal Policy Framework for Self-Driving Vehicles: Opportunities and Challenges
Kimmerle, S.[Stefan]
* 2004: Hierarchy Accelerated Stochastic Collision Detection
* 2004: Multilayered Wrinkle Textures from Strain
Kimmo
* 2006: Geometric test field calibration of digital photogrammetric sensors