[go: up one dir, main page]

Shabanian et al., 2022 - Google Patents

A novel factor graph-based optimization technique for stereo correspondence estimation

Shabanian et al., 2022

View HTML
Document ID
11089911791698016371
Author
Shabanian H
Balasubramanian M
Publication year
Publication venue
Scientific Reports

External Links

Snippet

Dense disparities among multiple views are essential for estimating the 3D architecture of a scene based on the geometrical relationship between the scene and the views or cameras. Scenes with larger extents of homogeneous textures, differing scene illumination among the …
Continue reading at www.nature.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Pan et al. Activenerf: Learning where to see with uncertainty estimation
Choe et al. Pointmixer: Mlp-mixer for point cloud understanding
Wang et al. Uncertainty estimation for stereo matching based on evidential deep learning
Campbell et al. Solving the blind perspective-n-point problem end-to-end with robust differentiable geometric optimization
Riegler et al. Atgv-net: Accurate depth super-resolution
Kang et al. In defense of lazy visual grounding for open-vocabulary semantic segmentation
Spencer et al. Deconstructing self-supervised monocular reconstruction: The design decisions that matter
Drouyer et al. Sparse stereo disparity map densification using hierarchical image segmentation
Park et al. Learning and selecting confidence measures for robust stereo matching
Dinesh et al. Point cloud sampling via graph balancing and Gershgorin disc alignment
Wang et al. 3D‐FEGNet: A feature enhanced point cloud generation network from a single image
Shabanian et al. A novel factor graph-based optimization technique for stereo correspondence estimation
Yan et al. SAS: A general framework induced by sequence association for shape from focus
Guo et al. Depth-aware super-resolution via distance-adaptive variational formulation
Chen et al. 3D point cloud semantic segmentation based on visual guidance and feature enhancement: S. Chen et al.
Jena et al. Geotransfer: Generalizable few-shot multi-view reconstruction via transfer learning
Guo et al. Multi-scale image edge detection based on spatial-frequency domain interactive attention
Khan et al. End-to-end unsupervised learning of latent-space clustering for image segmentation via fully dense-UNet and fuzzy C-means loss
Kim et al. 3D point cloud denoising via Gaussian processes regression: I. Kim, SK Singh
Wang et al. Dyeing creation: a textile pattern discovery and fabric image generation method
Wu et al. Adaptive active contour model driven by image data field for image segmentation with flexible initialization
Nguyen et al. Parameter selection framework for stereo correspondence
Zhao et al. Efficient stereo matching using attention mechanism and edge optimization
Ning et al. DRC-net: density reweighted convolution network for edge curve extraction
Qi Dynamic scene blind image deblurring based on local and non-local features