A syntactic approach to three-dimensional object recognition
IEEE Transactions on Systems, Man and Cybernetics
Grammatical interface for even linear languages based on control sets
Information Processing Letters
Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
On the structural grammatical interference problem for some classes of context-free grammars
Information Processing Letters
Efficient learning of context-free grammars from positive structural examples
Information and Computation
On the learnability and usage of acyclic probabilistic finite automata
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Development models of herbaceous plants for computer imagery purposes
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
ACM Computing Surveys (CSUR)
ImageMap: An Image Indexing Method Based on Spatial Similarity
IEEE Transactions on Knowledge and Data Engineering
Learning Context-Free Grammars from Partially Structured Examples
ICGI '00 Proceedings of the 5th International Colloquium on Grammatical Inference: Algorithms and Applications
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Grammatical Inference: An Old and New Paradigm
ALT '95 Proceedings of the 6th International Conference on Algorithmic Learning Theory
A shock grammar for recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
On Musical Score Recognition Using Probabilistic Reasoning
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Learning Bidimensional Context-Dependent Models Using a Context-Sensitive Language
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Shock Graphs and Shape Matching
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Perceptual Scale Space and its Applications
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Learning Non-Generative Grammatical Models for Document Analysis
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Composite Templates for Cloth Modeling and Sketching
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Context and Hierarchy in a Probabilistic Image Model
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
An Improved Shock Graph Approach for Shape Recognition and Retrieval
AMS '07 Proceedings of the First Asia International Conference on Modelling & Simulation
A stochastic grammar of images
Foundations and Trends® in Computer Graphics and Vision
Cognitive Modeling in Medical Pattern Semantic Understanding
MUE '08 Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering
Representing and Parsing Sketched Symbols Using Adjacency Grammars and a Grid-Directed Parser
Graphics Recognition. Recent Advances and New Opportunities
A Database Schema for Large Scale Annotated Image Dataset
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 3 - Volume 03
Bottom-Up/Top-Down Image Parsing with Attribute Grammar
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mathematical Linguistics in Cognitive Medical Image Interpretation Systems
Journal of Mathematical Imaging and Vision
Image-based lightweight tree modeling
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
Image Segmentation Integrating Generative and Discriminative Methods
WISM '09 Proceedings of the 2009 International Conference on Web Information Systems and Mining
Image Content Analysis for Cardiac 3D Visualizations
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Learning context-free grammars using tabular representations
Pattern Recognition
Hierarchical 3D perception from a single image
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Intelligent image content description and analysis for 3D visualizations of coronary vessels
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
A Simple Graph Theoretic Approach for Object Recognition
ICETET '11 Proceedings of the 2011 Fourth International Conference on Emerging Trends in Engineering & Technology
An adjacency grammar to recognize symbols and gestures in a digital pen framework
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Splicing array grammar systems
ICTAC'05 Proceedings of the Second international conference on Theoretical Aspects of Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stochastic language models for style-directed layout analysis of document images
IEEE Transactions on Image Processing
Hierarchical Stochastic Image Grammars for Classification and Segmentation
IEEE Transactions on Image Processing
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Grammars are widely used to describe string languages such as programming and natural languages and, more recently, biosequences. Moreover, since the 1980s grammars have been used in computer vision and related areas. Some factors accountable for this increasing use regard its relatively simple understanding and its ability to represent some semantic pattern models found in images, both spatially and temporally. The objective of this article is to present an overview regarding the use of syntactic pattern recognition methods in image representations in several applications. To achieve this purpose, we used a systematic review process to investigate the main digital libraries in the area and to document the phases of the study in order to allow the auditing and further investigation. The results indicated that in some of the studies retrieved, manually created grammars were used to comply with a particular purpose. Other studies performed a learning process of the grammatical rules. In addition, this article also points out still unexplored research opportunities in the literature.