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Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature

https://doi.org/10.1007/11612704_31
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution
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Non-linear Bayesian Image Modelling
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Local Scale Selection for Gaussian Based Description Techniques
inferredcites →https://doi.org/10.1007/3-540-47969-4_24openalex-snapshot
A Fast Radial Symmetry Transform for Detecting Points of Interest
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Context-free attentional operators: The generalized symmetry transform
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Recognition without Correspondence using Multidimensional Receptive Field Histograms
inferredcites →https://doi.org/10.1023/a:1008199403446openalex-snapshot
Evaluation of Interest Point Detectors
inferredcites →https://doi.org/10.1023/b:visi.0000027790.02288.f2openalex-snapshot
Scale & Affine Invariant Interest Point Detectors
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1037//0033-295x.94.2.115openalex-snapshot
Recognition-by-components: A theory of human image understanding.
inferredcites →https://doi.org/10.1038/nn0104-8openalex-snapshot
Adaptation and attentional selection
inferredcites →https://doi.org/10.1109/34.993558openalex-snapshot
Shape matching and object recognition using shape contexts
inferredcites →https://doi.org/10.1109/cvpr.2004.1315086openalex-snapshot
Scale selection for anisotropic scale-space: application to volumetric tumor characterization
inferredcites →https://doi.org/10.1109/cvpr.2004.1315206openalex-snapshot
PCA-SIFT: a more distinctive representation for local image descriptors
inferredcites →https://doi.org/10.1109/cvpr.2005.254openalex-snapshot
Object Recognition with Features Inspired by Visual Cortex
inferredcites →https://doi.org/10.1109/tpami.2003.1217601openalex-snapshot
Fast radial symmetry for detecting points of interest
inferredcites →https://doi.org/10.1109/tpami.2003.1217604openalex-snapshot
Fingerprint matching using an orientation-based minutia descriptor
inferredcites →https://doi.org/10.1109/tpami.2005.188openalex-snapshot
A performance evaluation of local descriptors
inferredcites →https://doi.org/10.1152/jn.00151.200openalex-snapshot
Responses of Primate Visual Cortical Neurons to Stimuli Presented by Flash, Saccade, Blink, and External Darkening
inferredcites →https://doi.org/10.1152/jn.2001.86.5.2505openalex-snapshot
Shape Representation in Area V4: Position-Specific Tuning for Boundary Conformation
inferredcites →https://doi.org/10.1152/jn.2002.88.1.455openalex-snapshot
Spatial Structure and Symmetry of Simple-Cell Receptive Fields in Macaque Primary Visual Cortex
inferredcites →https://doi.org/10.1152/jn.2002.88.3.1128openalex-snapshot
Responses of Primate Visual Cortical V4 Neurons to Simultaneously Presented Stimuli
inferredcites →https://doi.org/10.21236/ada454604openalex-snapshot
Object Recognition with Features Inspired by Visual Cortex

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Scalable Representation and Learning for 3D Object Recognition Using Shared Feature-Based View Clustering
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Scene Interpretation: Unified Modeling of Visual Context by Particle-Based Belief Propagation in Hierarchical Graphical Model
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Robust scale invariant target detection using the scale-space theory and optimization for IRST
inferred← citeshttps://doi.org/10.1007/s10762-009-9518-2openalex-snapshot
Small Target Detection Utilizing Robust Methods of the Human Visual System for IRST
inferred← citeshttps://doi.org/10.1007/s11265-011-0622-xopenalex-snapshot
A Review of Codebook Models in Patch-Based Visual Object Recognition
inferred← citeshttps://doi.org/10.1016/j.patcog.2007.03.018openalex-snapshot
Scalable representation for 3D object recognition using feature sharing and view clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2007.05.014openalex-snapshot
Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity
inferred← citeshttps://doi.org/10.1109/access.2021.3093457openalex-snapshot
Methods of Classification of Images on the Basis of the Values of Statistical Distributions for the Composition of Structural Description Components
inferred← citeshttps://doi.org/10.1109/cvprw.2006.146openalex-snapshot
Object Recognition Using a Generalized Robust Invariant Feature and Gestalts Law of Proximity and Similarity
inferred← citeshttps://doi.org/10.1109/iccas.2008.4694509openalex-snapshot
Vision-based autonomous navigation based on motion estimation
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Product search framework with categorization and identification
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Simultaneous Classification and VisualWord Selection using Entropy-based Minimum Description Length
inferred← citeshttps://doi.org/10.1109/icpr.2006.311openalex-snapshot
Background Robust Object Labeling by Voting of Weight-Aggregated Local Features
inferred← citeshttps://doi.org/10.1109/iros.2007.4399436openalex-snapshot
Robust feature matching for loop closing and localization
inferred← citeshttps://doi.org/10.1109/iros.2008.4651103openalex-snapshot
Efficient feature tracking for scene recognition using angular and scale constraints
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Visual Categorization Robust to Large Intra-Class Variations using Entropy-guided Codebook
inferred← citeshttps://doi.org/10.1109/sice.2006.315421openalex-snapshot
Visual SLAM by Single-Camera Catadioptric Stereo
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Object Categorization Robust to Surface Markings using Entropy-guided Codebook
inferred← citeshttps://doi.org/10.1109/wacv.2011.5711540openalex-snapshot
Comparing state-of-the-art visual features on invariant object recognition tasks
inferred← citeshttps://doi.org/10.15588/1607-3274-2020-4-9openalex-snapshot
CLASSIFICATION OF IMAGES BASED ON AN ENSEMBLE OF STATISTICAL DISTRIBUTIONS BY CLASSES OF ETALONS FOR STRUCTURAL DESCRIPTION COMPONENTS
inferred← citeshttps://doi.org/10.15588/1607-3274-2021-4-6openalex-snapshot
STATISTICAL DATA ANALYSIS TOOLS IN IMAGE CLASSIFICATION METHODS BASED ON THE DESCRIPTION AS A SET OF BINARY DESCRIPTORS OF KEY POINTS
inferred← citeshttps://doi.org/10.20998/2522-9052.2021.1.01openalex-snapshot
Study of the effectiveness of image classifiers by statistical distributions for components of structural description
inferred← citeshttps://doi.org/10.20998/2522-9052.2022.1.01openalex-snapshot
Application of multi-component data model for class descriptions in the image classification problem
inferred← citeshttps://doi.org/10.32782/cmis/3137-6openalex-snapshot
Aggregate Parametric Representation of Image Structural Description in Statistical Classification Methods
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