Heike, C.[Carrie]
* 2009: Shape-Based Classification of 3D Head Data
* 2010: 3D object classification using salient point patterns with application to craniofacial research
* 2010: Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications, The
Heikenfeld, J.
* 2009: Review of Phased Array Steering for Narrow-Band Electrooptical Systems, A
Heikenwalder, M.[Mathias]
* 2009: Randomized Tree Ensembles for Object Detection in Computational Pathology
Heikinheimo, V.[Vuokko]
* 2017: Determinants of Aboveground Biomass across an Afromontane Landscape Mosaic in Kenya
* 2017: User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey
Heikkia, J.[Janne]
* 2022: OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation
Includes: Heikkia, J.[Janne] Heikkiä, J.[Janne] (Maybe also Heikkiae, J.)
Heikkila, G.[Gunnar]
* 2008: Measuring multimedia quality in mobile networks with an objective parametric model
* 2011: IP-Based Mobile and Fixed Network Audiovisual Media Services
Includes: Heikkila, G.[Gunnar] Heikkila, G.
Heikkila, J.
* 1996: Accurate 3-D Measurement Using a Single Video Camera
* 1996: Calibration Procedure for Short Focal Length Off-the-Shelf CCD-Cameras
* 1997: Camera Calibration and Image Correction Using Circular Control Points
* 1997: Four-Step Camera Calibration Procedure with Implicit Image Correction, A
* 1998: Linear Motion Estimation for Image Sequence Based Accurate 3-D Measurements
* 1998: Moment and Curvature Preserving Technique for Accurate Ellipse Boundary Detection
* 1999: Experiments with Shape-based Deformable Object Tracking
* 1999: Real-Time System for Monitoring of Cyclists and Pedestrians, A
* 2000: Camera Motion Estimation from Non-stationary Scenes Using EM-based Motion Segmentation
* 2000: Geometric Camera Calibration Using Circular Control Points
* 2000: Intensity Independent Color Models and Visual Tracking
* 2001: Extracting Motion Components from Image Sequences Using Particle Filters
* 2001: Multi-view Camera Calibration Method for Coplanar Targets, A
* 2002: Multi-scale autoconvolution for affine invariant pattern recognition
* 2003: Efficient Method for Half-Pixel Block Motion Estimation Using Block Differentials
* 2003: new rate-minimizing matching criterion and a fast algorithm for block motion estimation, A
* 2003: Statistical method for object alignment under affine transformation
* 2004: Affine Invariant Pattern Recognition Using Multiscale Autoconvolution
* 2004: Fast full search block motion estimation for H.264/AVC with multilevel successive elimination algorithm
* 2004: Image scale and rotation from the phase-only bispectrum
* 2004: Motion analysis using frame differences with spatial gradient measures
* 2004: Object classification with multi-scale autoconvolution
* 2004: Pattern matching with affine moment descriptors
* 2004: Real-Time System for Monitoring of Cyclists and Pedestrians, A
* 2004: Texture-based Method for Detecting Moving Objects, A
* 2005: Affine Invariant Pattern Recognition Using Multiscale Autoconvolution
* 2005: Affine Registration with Multi-Scale Autoconvolution
* 2005: Likelihood Function for Block-Based Motion Analysis, A
* 2005: New Efficient Method for Producing Global Affine Invariants, A
* 2005: New Method for Affine Registration of Images and Point Sets, A
* 2005: Reduced Frame Quantization in Video Coding
* 2005: Vision-Based Approach for Controlling User Interfaces of Mobile Devices, A
* 2006: Active Head Tracking System for Distance Education and Videoconferencing Applications, An
* 2006: Algorithms for computing a planar homography from conics in correspondence
* 2006: Generalized affine moment invariants for object recogn
* 2006: Improved Unsymmetric-Cross Multi-Hexagon-Grid Search Algorithm for Fast Block Motion Estimation
* 2006: Motion Blur Concealment of Digital Video Using Invariant Features
* 2006: Motion-Based Handwriting Recognition for Mobile Interaction
* 2006: Multiscale Autoconvolution Histograms for Affine Invariant Pattern Recognition
* 2006: New Affine Invariant Image Transform Based on Ridgelets, A
* 2006: New Convexity Measure Based on a Probabilistic Interpretation of Images, A
* 2006: Video Filtering With Fermat Number Theoretic Transforms Using Residue Number System
* 2007: Document Image Mosaicing with Mobile Phones
* 2007: Image Registration Using Blur-Invariant Phase Correlation
* 2007: Method for Blur and Similarity Transform Invariant Object Recognition, A
* 2007: Monocular Point Based Pose Estimation of Artificial Markers by Using Evolutionary Computing
* 2007: Nonlinear Functionals in the Construction of Multiscale Affine Invariants
* 2007: Object Recognition Using Frequency Domain Blur Invariant Features
* 2007: Vision-based motion estimation for interaction with mobile devices
* 2007: Visual System for Hand Gesture Recognition in Human-Computer Interaction, A
* 2008: Adaptive Motion-Based Gesture Recognition Interface for Mobile Phones
* 2008: Blur and Contrast Invariant Fast Stereo Matching
* 2008: Blur Insensitive Texture Classification Using Local Phase Quantization
* 2008: Face Tracking for Spatially Aware Mobile User Interfaces
* 2008: Measuring and modelling sewer pipes from video
* 2008: Method for Blur and Affine Invariant Object Recognition Using Phase-Only Bispectrum, A
* 2008: Multi-object tracking using binary masks
* 2008: Object recognition and segmentation by non-rigid quasi-dense matching
* 2008: On Bin Configuration of Shape Context Descriptors in Human Silhouette Classification
* 2008: Recognition of blurred faces using Local Phase Quantization
* 2008: Rotation invariant local phase quantization for blur insensitive texture analysis
* 2008: Scallop: An open peer-to-peer framework for distributed sensor networks
* 2009: Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy
* 2009: Dense and Deformable Motion Segmentation for Wide Baseline Images
* 2009: Methods for local phase quantization in blur-insensitive image analysis
* 2009: Simple and efficient saliency detector for background subtraction, A
* 2009: Weighted DFT Based Blur Invariants for Pattern Recognition
* 2010: Compressing Sparse Feature Vectors Using Random Ortho-Projections
* 2010: Human Detection Framework for Heavy Machinery, A
* 2010: Improved Blur Insensitivity for Decorrelated Local Phase Quantization
* 2010: Isotropic Granularity-tunable gradients partition (IGGP) descriptors for human detection
* 2010: Segmenting Salient Objects from Images and Videos
* 2010: Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection
* 2011: Accurate and Practical Calibration of a Depth and Color Camera Pair
* 2011: Degradation Based Blind Image Quality Evaluation
* 2011: Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation
* 2011: Generating dense depth maps using a patch cloud and local planar surface models
* 2011: Multi-view Alpha Matte for Free Viewpoint Rendering
* 2011: Real-Time Detection of Landscape Scenes
* 2011: Robust airlight estimation for haze removal from a single image
* 2011: Volume Local Phase Quantization for Blur-Insensitive Dynamic Texture Classification
* 2012: Combining Textural and Geometrical Descriptors for Scene Recognition
* 2012: Joint Depth and Color Camera Calibration with Distortion Correction
* 2012: Local phase quantization descriptors for blur robust and illumination invariant recognition of color textures
* 2012: Local phase quantization for blur-insensitive image analysis
* 2012: Robust and accurate multi-view reconstruction by prioritized matching
* 2012: Temporal Saliency for Fast Motion Detection
* 2013: Blur Invariant Translational Image Registration for N-fold Symmetric Blurs
* 2013: Depth Map Inpainting under a Second-Order Smoothness Prior
* 2013: Learned Joint Depth and Intensity Prior Using Markov Random Fields, A
* 2013: Merging Overlapping Depth Maps into a Nonredundant Point Cloud
* 2013: Saliency Detection Using Joint Temporal and Spatial Decorrelation
* 2013: Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling
* 2013: Stochastic bottom-up fixation prediction and saccade generation
* 2014: Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience
* 2014: Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach
* 2014: DT-SLAM: Deferred Triangulation for Robust SLAM
* 2014: Emotional Valence Recognition, Analysis of Salience and Eye Movements
* 2014: Line Matching and Pose Estimation for Unconstrained Model-to-Image Alignment
* 2014: Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach
* 2015: 3D Point Representation For Pose Estimation: Accelerated SIFT vs ORB
* 2015: Disparity Estimation for Image Fusion in a Multi-aperture Camera
* 2015: Fast and accurate multi-view reconstruction by multi-stage prioritised matching
* 2015: Focal length change compensation for monocular slam
* 2015: novel feature descriptor based on microscopy image statistics, A
* 2015: Optimizing the Accuracy and Compactness of Multi-view Reconstructions
* 2015: Quaternion Wiener Deconvolution for Noise Robust Color Image Registration
* 2015: Registration of Images With N-Fold Dihedral Blur
* 2016: Cell proposal network for microscopy image analysis
* 2016: Deep learning for magnification independent breast cancer histopathology image classification
* 2016: Forget the checkerboard: Practical self-calibration using a planar scene
* 2016: Learning Joint Representations of Videos and Sentences with Web Image Search
* 2016: Parallax correction via disparity estimation in a multi-aperture camera
* 2016: Transfer Learning for Cell Nuclei Classification in Histopathology Images
* 2016: Video Summarization Using Deep Semantic Features
* 2017: Dynamic texture recognition using multiscale PCA-learned filters
* 2017: Robust and Practical Depth Map Fusion for Time-of-Flight Cameras
* 2017: Towards Virtual H E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks
* 2017: Using Sparse Elimination for Solving Minimal Problems in Computer Vision
* 2018: Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement
* 2018: Dynamic Texture Recognition Using Volume Local Binary Count Patterns With an Application to 2D Face Spoofing Detection
* 2018: Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements
* 2019: 3D Multi-Resolution Optical Flow Analysis of Cardiovascular Pulse Propagation in Human Brain
* 2019: Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding
* 2019: Efficient Solution for Semantic Segmentation: ShuffleNet V2 with Atrous Separable Convolutions, An
* 2019: Gyroscope-Aided Motion Deblurring with Deep Networks
* 2019: Predicting Novel Views Using Generative Adversarial Query Network
* 2019: Rethinking the Evaluation of Video Summaries
* 2020: Guiding Monocular Depth Estimation Using Depth-attention Volume
* 2020: Sequential View Synthesis with Transformer
* 2020: Sparse Resultant Based Method for Efficient Minimal Solvers, A
* 2021: Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion
* 2021: Calibrated and Partially Calibrated Semi-Generalized Homographies
* 2021: Computing stable resultant-based minimal solvers by hiding a variable
* 2021: Learning non-rigid surface reconstruction from spatia-temporal image patches
* 2021: Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss
* 2021: RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis
* 2022: AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
* 2022: Free-Viewpoint RGB-D Human Performance Capture and Rendering
* 2022: Lightweight Monocular Depth with a Novel Neural Architecture Search Method
* 2022: Optimal Correction Cost for Object Detection Evaluation
* 2022: Patchflow: A Two-stage Patch-based Approach for Lightweight Optical Flow Estimation
* 2023: Partially calibrated semi-generalized pose from hybrid point correspondences
* 2023: Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
* 2023: Unbiased Scene Graph Generation via Two-Stage Causal Modeling
* 2024: Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis
Includes: Heikkila, J. Heikkila, J.[Janne] Heikkilä, J. (Maybe also Heikkilae, J.)Heikkilä, J.[Janne] (Maybe also Heikkilae, J.)
146 for Heikkila, J.
Heikkila, J.Y.
* 2007: Face and Eye Detection for Person Authentication in Mobile Phones
Heikkila, L.[Lasse]
* 2019: Demo: Accelerating Depth-Map on Mobile Device Using CPU-GPU Co-processing
Includes: Heikkila, L.[Lasse] Heikkilä, L.[Lasse] (Maybe also Heikkilae, L.)
Heikkila, M.
* 2004: Texture-based Method for Detecting Moving Objects, A
* 2005: image mosaicing module for wide-area surveillance, An
* 2006: Description of Interest Regions with Center-Symmetric Local Binary Patterns
* 2006: Texture-Based Method for Modeling the Background and Detecting Moving Objects, A
* 2008: Scallop: An open peer-to-peer framework for distributed sensor networks
* 2009: Description of interest regions with local binary patterns
Includes: Heikkila, M. Heikkilä, M.[Marko] (Maybe also Heikkilae, M.)Heikkila, M.[Marko]
Heikkila, R.[Rauno]
* 2023: Non-Visual Sensing of Metallic Pavement Markers From a Moving Vehicle
Includes: Heikkila, R.[Rauno] Heikkilä, R.[Rauno] (Maybe also Heikkilae, R.)
Heikkila, T.
* 1987: Monitoring An Assembly Task By Perception Requests
Heikkinen, A.P.
* 2006: Improved line spectral frequency estimation through anti-aliasing filtering
Heikkinen, J.[Jussi]
* 2006: Augmented 3D vision system for object reconstruction
* 2009: Close-range constrained image sequences
* 2019: Timber Tracing with Multimodal Encoder-Decoder Networks
* 2021: Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases
Includes: Heikkinen, J.[Jussi] Heikkinen, J.[Jere] Heikkinen, J.[Jaakko]
Heikkinen, K.
* 1999: Computation of two texture features in hardware
Heikkinen, P.[Pauli]
* 2016: Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network
* 2016: Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network
* 2016: Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network
* 2020: Vertical Distribution of Arctic Methane in 2009-2018 Using Ground-Based Remote Sensing
Heikkinen, V.[Ville]
* 2007: Regularized learning framework in the estimation of reflectance spectra from camera responses
* 2008: Evaluation and unification of some methods for estimating reflectance spectra from RGB images
* 2010: Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies
* 2010: Simulated Multispectral Imagery for Tree Species Classification Using Support Vector Machines
* 2011: EuroSDR project Radiometric aspects of digital photogrammetric images: Results of empirical phase
* 2011: SVM Classification of Tree Species Radiometric Signatures Based on the Leica ADS40 Sensor, An
* 2013: Forest Stand Delineation Using a Hybrid Segmentation Approach Based on Airborne Laser Scanning Data
* 2013: Link functions and Matérn kernel in the estimation of reflectance spectra from RGB responses
* 2013: Segmentation of Skin Spectral Images Using Simulated Illuminations
* 2014: Color and Image Characterization of a Three CCD Seven Band Spectral Camera
* 2014: Evaluating logarithmic kernel for spectral reflectance estimation: Effects on model parametrization, training set size, and number of sensor spectral channels
* 2016: Spectral imaging using consumer-level devices and kernel-based regression
* 2018: Spectral Reflectance Estimation Using Gaussian Processes and Combination Kernels
Includes: Heikkinen, V.[Ville] Heikkinen, V.
13 for Heikkinen, V.
Heikkonen, J.
* 1992: Pairwise Representations Of Shape
* 1992: Video recording and digital image processing in analyzing air flows
* 1993: Recovering translational motion parameters from image sequences using Randomized Hough Transform
* 1994: Learning motion trajectories via self-organization
* 1995: Recovering 3-D Motion Parameters from Optical Flow Field Using Randomized Hough Transform
* 1996: Computer Vision Approach to Air-Flow Analysis, A
* 1996: Computer Vision Approach to Digit Recognition on Pulp Bales, A
* 1996: Special Issue on Neural Networks for Computer Vision Applications
* 1997: Method for Remote Sensing Based Classification of Urban Areas, A
* 1998: Land Cover Land Use Classification of Urban Areas: A Remote-Sensing Approach
* 1999: Forest Change Detection via Landsat TM Difference Features
* 2000: Bayesian weighting principle for the fundamental matrix estimation, A
* 2000: Evaluating the Performance of Three Feature Sets for Brain-computer Interfaces with an Early Stopping MLP Committee
* 2001: Automatic alignment of transmission electron microscope images using markers
* 2001: Multi-resolution Matching of Uncalibrated Images Utilizing Epipolar Geometry and Its Uncertainty
* 2001: Optimal Method for the Affine F-Matrix and Its Uncertainty Estimation in the Sense of both Noise and Outliers
* 2002: On the alignment of transmission electron microscope images without fiducial markers
* 2008: minimum description length principle based method for signal change detection in machine condition monitoring, A
* 2014: Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data
* 2016: Detecting Terrain Stoniness From Airborne Laser Scanning Data
* 2017: Estimating the Rut Depth by UAV Photogrammetry
* 2020: Asynchronous Corner Tracking Algorithm Based on Lifetime of Events for Davis Cameras
* 2020: Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection
* 2020: Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation
* 2020: Navigation and Mapping in Forest Environment Using Sparse Point Clouds
* 2021: Dynamic Resource-Aware Corner Detection for Bio-Inspired Vision Sensors
* 2023: Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior, A
Includes: Heikkonen, J. Heikkonen, J.[Jukka]
27 for Heikkonen, J.