Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Lluís-Pere de las Heras"'
Autor:
Lluís-Pere de las Heras
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 14, Iss 3 (2015)
In this thesis we face the graphical document understanding problem by proposing several relational models for the complete interpretation of floor plans. Firstly, we introduce three different strategies on symbol detection for walls, doors and windo
Externí odkaz:
https://doaj.org/article/717404f22a594c66989fd7da57f361b0
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 18:15-30
Recent results on structured learning methods have shown the impact of structural information in a wide range of pattern recognition tasks. In the field of document image analysis, there is a long experience on structural methods for the analysis and
Publikováno v:
Graphic Recognition. Current Trends and Challenges ISBN: 9783319521589
GREC
GREC
In this paper we present a knowledge base of architectural documents aiming at improving existing methods of floor plan classification and understanding. It consists of an ontological definition of the domain and the inclusion of real instances comin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b55ae39025fed17328c3e8ad593718e
https://doi.org/10.1007/978-3-319-52159-6_6
https://doi.org/10.1007/978-3-319-52159-6_6
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 17:221-237
A generic method for floor plan analysis and interpretation is presented in this article. The method, which is mainly inspired by the way engineers draw and interpret floor plans, applies two recognition steps in a bottom-up manner. First, basic buil
Publikováno v:
Information Retrieval. 17:545-562
Relatively little research has been done on the topic of patent image retrieval and in general in most of the approaches the retrieval is performed in terms of a similarity measure between the query image and the images in the corpus. However, system
Publikováno v:
ICDAR
Nowadays, automatic identity document recognition, including passport and driving license recognition, is at the core of many applications within the administrative and service sectors, such as police, hospitality, car renting, etc. In former years,
Publikováno v:
ICDAR
In this paper, we propose the use of an Attributed Graph Grammar as unique framework to model and recognize the structure of floor plans. This grammar represents a building as a hierarchical composition of structurally and semantically related elemen
Autor:
David Fernández, Ernest Valveny, Lluís-Pere de las Heras, Gemma Sánchez, Alicia Fornés, Josep Lladós
Publikováno v:
Graphics Recognition. Current Trends and Challenges ISBN: 9783662448533
GREC
GREC
This paper proposes a runlength histogram signature as a perceptual descriptor of architectural plans in a retrieval scenario. The style of an architectural drawing is characterized by the perception of lines, shapes and texture. Such visual stimuli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c413a267d370a9f0f5036dac1a4bebc
https://doi.org/10.1007/978-3-662-44854-0_11
https://doi.org/10.1007/978-3-662-44854-0_11
Publikováno v:
Graphics Recognition. Current Trends and Challenges ISBN: 9783662448533
GREC
GREC
In this paper we present a wall segmentation approach in floor plans that is able to work independently to the graphical notation, does not need any pre-annotated data for learning, and is able to segment multiple-shaped walls such as beams and curve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35476fbf880d763e3bfd87133cbbbc28
https://doi.org/10.1007/978-3-662-44854-0_9
https://doi.org/10.1007/978-3-662-44854-0_9
Publikováno v:
ICDAR
Wall detection in floor plans is a crucial step in a complete floor plan recognition system. Walls define the main structure of buildings and convey essential information for the detection of other structural elements. Nevertheless, wall segmentation