Herve Locteau, Sebastien Mace, Ernest Valveny, & Salvatore Tabbone. (2010). Extraction des pieces de un plan de habitation. In Colloque Internacional Francophone de l´Ecrit et le Document (1–12).
Abstract: In this article, a method to extract the rooms of an architectural floor plan image is described. We first present a line detection algorithm to extract long lines in the image. Those lines are analyzed to identify the existing walls. From this point, room extraction can be seen as a classical segmentation task for which each region corresponds to a room. The chosen resolution strategy consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines can also be rough. Thus, we take advantage of knowledge associated to architectural floor plans in order to obtain mainly rectangular rooms. Preliminary tests on a set of real documents show promising results.
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Josep Llados, & Gemma Sanchez. (2007). Indexing Historical Documents by Word Shape Signatures. In 9th International Conference on Document Analysis and Recognition (Vol. 1, 362–366).
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Josep Llados, & Gemma Sanchez. (2004). Graph Matching vs. Graph Parsing in Graphics Recognition: A Combined Approach. IJPRAI - International Journal of Pattern Recognition and Artificial Intelligence, 455–473.
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Josep Llados, & Gemma Sanchez. (2003). Symbol Recognition Using Graphs.
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Muhammad Muzzamil Luqman, Josep Llados, Jean-Yves Ramel, & Thierry Brouard. (2010). A Fuzzy-Interval Based Approach For Explicit Graph Embedding, Recognizing Patterns in Signals, Speech, Images and Video. In 20th International Conference on Pattern Recognition (Vol. 6388, 93–98). LNCS. Springer, Heidelberg.
Abstract: We present a new method for explicit graph embedding. Our algorithm extracts a feature vector for an undirected attributed graph. The proposed feature vector encodes details about the number of nodes, number of edges, node degrees, the attributes of nodes and the attributes of edges in the graph. The first two features are for the number of nodes and the number of edges. These are followed by w features for node degrees, m features for k node attributes and n features for l edge attributes — which represent the distribution of node degrees, node attribute values and edge attribute values, and are obtained by defining (in an unsupervised fashion), fuzzy-intervals over the list of node degrees, node attributes and edge attributes. Experimental results are provided for sample data of ICPR2010 contest GEPR.
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Josep Llados, W. Liu, & Jean-Marc Ogier. (2007). Seventh IAPR International Workshop on Graphics Recognition GREC 2007.
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Josep Llados, J. Lopez-Krahe, & Enric Marti. (1999). A Hough-based method for hatched pattern detection in maps and diagrams..
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Josep Llados, & Enric Marti. (1999). A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems..
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Josep Llados, & Young-Bin Kwon. (2004). Graphics Recognition. Recent Advances and Perspectives.
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Josep Llados, & Dorothea Blostein. (2007). Special Issue on Graphics Recognition. IJDAR - International Journal on Document Analysis and Recognition, 1–2.
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Josep Llados, J. Lopez-Krahe, & D. Archambault. (2007). Special Issue on Information Technologies for Visually Impaired People. Novatica, 4–7.
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Josep Llados. (2007). Advances in Graphics Recognition. In Digital Document Processing, Major Directions and Recent Advances, Advances in Pattern Recognition, B.B. Chaudhuri, ed., 281–304.
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Josep Llados. (2006). Computer Vision: Progress of Research and Development ( J. Llados(ed.), Ed.).
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Josep Llados. (2006). Perspectives on the Analysis of Graphical Documents.
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Josep Llados. (1996). Interpretacio de dibuixos linials fets a ma alçada mitjançant isomorfisme entre subgrafs i transformacio de Hough.
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