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Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models

https://doi.org/10.1109/cvpr.2006.74

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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-45054-8_2openalex-snapshot

Unsupervised Learning of Models for Recognition

inferredcites →https://doi.org/10.1007/3-540-47967-8_8openalex-snapshot

Class-Specific, Top-Down Segmentation

inferredcites →https://doi.org/10.1007/3-540-47969-4_28openalex-snapshot

Multi-view Matching for Unordered Image Sets, or “How Do I Organize My Holiday Snaps?”

inferredcites →https://doi.org/10.1007/3-540-47979-1_8openalex-snapshot

Learning a Sparse Representation for Object Detection

inferredcites →https://doi.org/10.1007/bfb0054769openalex-snapshot

A probabilistic approach to object recognition using local photometry and global geometry

inferredcites →https://doi.org/10.1016/0010-0277(84)90022-2openalex-snapshot

Parts of recognition

inferredcites →https://doi.org/10.1016/0146-664x(80)90049-0openalex-snapshot

Linear feature extraction and description

inferredcites →https://doi.org/10.1016/j.imavis.2004.02.006openalex-snapshot

Robust wide-baseline stereo from maximally stable extremal regions

inferredcites →https://doi.org/10.1023/a:1008045108935openalex-snapshot

Feature Detection with Automatic Scale Selection

inferredcites →https://doi.org/10.1023/a:1008097225773openalex-snapshot

Edge Detection and Ridge Detection with Automatic Scale Selection

inferredcites →https://doi.org/10.1023/a:1011179004708openalex-snapshot

Probabilistic Methods for Finding People

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/10.1023/b:visi.0000042934.15159.49openalex-snapshot

Pictorial Structures for Object Recognition

inferredcites →https://doi.org/10.1109/34.368189openalex-snapshot

Parts of visual form: computational aspects

inferredcites →https://doi.org/10.1109/34.589215openalex-snapshot

Local grayvalue invariants for image retrieval

inferredcites →https://doi.org/10.1109/cvpr.1996.517113openalex-snapshot

Edge detection and ridge detection with automatic scale selection

inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot

Rapid object detection using a boosted cascade of simple features

inferredcites →https://doi.org/10.1109/cvpr.2003.1211409openalex-snapshot

Nonparametric belief propagation

inferredcites →https://doi.org/10.1109/cvpr.2003.1211479openalex-snapshot

Object class recognition by unsupervised scale-invariant learning

inferredcites →https://doi.org/10.1109/cvpr.2004.1315063openalex-snapshot

Tracking loose-limbed people

inferredcites →https://doi.org/10.1109/cvpr.2005.270openalex-snapshot

Part-Based Statistical Models for Object Classification and Detection

inferredcites →https://doi.org/10.1109/cvpr.2005.329openalex-snapshot

Spatial Priors for Part-Based Recognition Using Statistical Models

inferredcites →https://doi.org/10.1109/cvpr.2005.47openalex-snapshot

A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition

inferredcites →https://doi.org/10.1109/iccv.2005.35openalex-snapshot

An expectation maximization approach to the synergy between image segmentation and object categorization

inferredcites →https://doi.org/10.1109/iccv.2005.50openalex-snapshot

Bottom-up/top-down image parsing by attribute graph grammar

inferredcites →https://doi.org/10.5244/c.17.79openalex-snapshot

Shape recognition with edge-based features

inferredcites →https://doi.org/10.5244/c.18.81openalex-snapshot

Extending Pictorial Structures for Object Recognition

What points at this work

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

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Symmetry Detection and Classification in Drawings of Graphs

inferred← citeshttps://doi.org/10.1007/978-3-540-72903-7_31openalex-snapshot

Constellations and the Unsupervised Learning of Graphs

inferred← citeshttps://doi.org/10.1007/978-3-540-76386-4_17openalex-snapshot

Object Detection Combining Recognition and Segmentation

inferred← citeshttps://doi.org/10.1007/978-3-540-79547-6_33openalex-snapshot

Bottom-Up and Top-Down Object Matching Using Asynchronous Agents and a Contrario Principles

inferred← citeshttps://doi.org/10.1007/978-3-642-20795-2_3openalex-snapshot

Semantics Extraction from Images

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Learning-Based Symmetry Detection in Natural Images

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Ship Detection from SAR and SO Images

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Object Recognition in Hand Drawn Images Using Machine Ensembling Techniques and Smote Sampling

inferred← citeshttps://doi.org/10.1007/s10851-014-0541-0openalex-snapshot

Image Matching Using Generalized Scale-Space Interest Points

inferred← citeshttps://doi.org/10.1007/s11045-013-0224-9openalex-snapshot

An ideal image edge detection scheme

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Design of Novel Approach for Conformal Vortex Induced Flow Based Shape Descriptor for Object Recognition

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Context, Computation, and Optimal ROC Performance in Hierarchical Models

inferred← citeshttps://doi.org/10.1007/s11263-010-0398-7openalex-snapshot

Inference and Learning with Hierarchical Shape Models

inferred← citeshttps://doi.org/10.1016/b978-0-444-53859-8.00011-4openalex-snapshot

Visual Search: A Large-Scale Perspective

inferred← citeshttps://doi.org/10.1016/j.imavis.2008.09.011openalex-snapshot

Region and constellations based categorization of images with unsupervised graph learning

inferred← citeshttps://doi.org/10.1016/j.imavis.2016.08.014openalex-snapshot

Pain intensity estimation by a self-taught selection of histograms of topographical features

inferred← citeshttps://doi.org/10.1016/j.neucom.2013.01.015openalex-snapshot

Graph matching and clustering using kernel attributes

inferred← citeshttps://doi.org/10.1016/j.neucom.2014.04.006openalex-snapshot

A primal sketch based framework for bean-shape contour extraction

inferred← citeshttps://doi.org/10.1016/j.patcog.2015.10.015openalex-snapshot

Multiple instance subspace learning via partial random projection tree for local reflection symmetry in natural images

inferred← citeshttps://doi.org/10.1016/j.patrec.2013.06.004openalex-snapshot

An edge detection with automatic scale selection approach to improve coherent visual attention model

inferred← citeshttps://doi.org/10.1109/cvpr.2008.4587798openalex-snapshot

Scale invariance without scale selection

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Pedestrian detection using shape context and PHOG

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Pedestrian detection based on improved Random Forest in natural images

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Unsupervised Learning of Object Deformation Models

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Understanding software reengineering requirements for cloud-oriented service architecture

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A Framework for Bean-Shape Contour Extraction

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A data-driven approach to prior extraction for segmentation of left ventricle in cardiac MR images

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A Steerable, Multiscale Singularity Index

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Local Symmetry Detection in Natural Images Using a Particle Filtering Approach

inferred← citeshttps://doi.org/10.1109/tpami.2008.158openalex-snapshot

Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm

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Detection of Structural Components in Point Clouds of Existing RC Bridges

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Eye of the Dragon

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Analyzing object categories via novel category ranking measures defined on visual feature embeddings

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Real-virtual synchronisation: a review on the state-of-the-art geometric digital twinning of infrastructure

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MSFD-Net: A Multiscale Spatial Feature Descriptor Network for Semantic Segmentation of Large-Scale Bridge Point Clouds

inferred← citeshttps://doi.org/10.37394/232028.2022.2.8openalex-snapshot

An Innovative Vortex based Complex Potential Signature for Shape based Object Recognition

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The Image Torque Operator for Contour Processing

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Integrating Kinect Depth Data with a Stochastic Object Classification Framework for Forestry Robots

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Mid-level representations for modeling objects

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