[HTML][HTML] Symbol spotting for architectural drawings: state-of-the-art and new industry-driven developments
This review paper offers a contemporary literature survey on symbol spotting in architectural
drawing images. Research on isolated symbol recognition is quite mature; the same cannot …
drawing images. Research on isolated symbol recognition is quite mature; the same cannot …
Symbol spotting on digital architectural floor plans using a deep learning-based framework
This papers focuses on symbol spotting on real-world digital architectural floor plans with a
deep learning (DL)-based framework. Traditional on-the-fly symbol spotting methods are …
deep learning (DL)-based framework. Traditional on-the-fly symbol spotting methods are …
[HTML][HTML] Hierarchical stochastic graphlet embedding for graph-based pattern recognition
Despite being very successful within the pattern recognition and machine learning
community, graph-based methods are often unusable because of the lack of mathematical …
community, graph-based methods are often unusable because of the lack of mathematical …
Automatic understanding of sketch maps using context-aware classification
Sketching is a natural and easy way for humans to express visual information in everyday
life. Despite a number of approaches to understand online sketch maps, the automatic …
life. Despite a number of approaches to understand online sketch maps, the automatic …
Hierarchical plausibility-graphs for symbol spotting in graphical documents
Graph representation of graphical documents often suffers from noise such as spurious
nodes and edges, and their discontinuity. In general these errors occur during the low-level …
nodes and edges, and their discontinuity. In general these errors occur during the low-level …
Pyramidal stochastic graphlet embedding for document pattern classification
Document pattern classification methods using graphs have received a lot of attention
because of its robust representation paradigm and rich theoretical background. However …
because of its robust representation paradigm and rich theoretical background. However …
Analyzing symbols in architectural floor plans via traditional computer vision and deep learning approaches
A Rezvanifar - 2021 - dspace.library.uvic.ca
Architectural floor plans are scale-accurate 2D drawings of one level of a building, seen from
above, which convey structural and semantic information related to rooms, walls, symbols …
above, which convey structural and semantic information related to rooms, walls, symbols …
Hierarchical vectorization of electrical drawings in document images by connectivity analysis of symbols and super-components
P De, S Mandal, P Bhowmick - Pattern Recognition and Image Analysis, 2017 - Springer
A novel integrated technique is proposed for hierarchical vectorization of electrical drawings
in document images. Its first step includes recognition of different electrical symbols and their …
in document images. Its first step includes recognition of different electrical symbols and their …
[图书][B] Inexact Subgraph Matching Applied to Symbol Spotting in Graphical Documents
A Dutta - 2014 - ddd.uab.cat
Existeix un ressorgiment en l'ús de mètodes estructurals per al problema de reconeixement i
recuperació per contingut d'objectes en imatges. La teoria de grafs, en particular, la posada …
recuperació per contingut d'objectes en imatges. La teoria de grafs, en particular, la posada …
[PDF][PDF] ORE Open Research Exeter
Document pattern classification methods using graphs have received a lot of attention
because of its robust representation paradigm and rich theoretical background. However …
because of its robust representation paradigm and rich theoretical background. However …