9,142 research outputs found

    Interpretation of overtracing freehand sketching for geometric shapes

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    This paper presents a novel method for interpreting overtracing freehand sketch. The overtracing strokes are interpreted as sketch content and are used to generate 2D geometric primitives. The approach consists of four stages: stroke classification, strokes grouping and fitting, 2D tidy-up with endpoint clustering and parallelism correction, and in-context interpretation. Strokes are first classified into lines and curves by a linearity test. It is followed by an innovative strokes grouping process that handles lines and curves separately. The grouped strokes are fitted with 2D geometry and further tidied-up with endpoint clustering and parallelism correction. Finally, the in-context interpretation is applied to detect incorrect stroke interpretation based on geometry constraints and to suggest a most plausible correction based on the overall sketch context. The interpretation ensures sketched strokes to be interpreted into meaningful output. The interface overcomes the limitation where only a single line drawing can be sketched out as in most existing sketching programs, meanwhile is more intuitive to the user

    Automatic Structural Scene Digitalization

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    In this paper, we present an automatic system for the analysis and labeling of structural scenes, floor plan drawings in Computer-aided Design (CAD) format. The proposed system applies a fusion strategy to detect and recognize various components of CAD floor plans, such as walls, doors, windows and other ambiguous assets. Technically, a general rule-based filter parsing method is fist adopted to extract effective information from the original floor plan. Then, an image-processing based recovery method is employed to correct information extracted in the first step. Our proposed method is fully automatic and real-time. Such analysis system provides high accuracy and is also evaluated on a public website that, on average, archives more than ten thousands effective uses per day and reaches a relatively high satisfaction rate.Comment: paper submitted to PloS On

    Intelligent computational sketching support for conceptual design

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    Sketches, with their flexibility and suggestiveness, are in many ways ideal for expressing emerging design concepts. This can be seen from the fact that the process of representing early designs by free-hand drawings was used as far back as in the early 15th century [1]. On the other hand, CAD systems have become widely accepted as an essential design tool in recent years, not least because they provide a base on which design analysis can be carried out. Efficient transfer of sketches into a CAD representation, therefore, is a powerful addition to the designers' armoury.It has been pointed out by many that a pen-on-paper system is the best tool for sketching. One of the crucial requirements of a computer aided sketching system is its ability to recognise and interpret the elements of sketches. 'Sketch recognition', as it has come to be known, has been widely studied by people working in such fields: as artificial intelligence to human-computer interaction and robotic vision. Despite the continuing efforts to solve the problem of appropriate conceptual design modelling, it is difficult to achieve completely accurate recognition of sketches because usually sketches implicate vague information, and the idiosyncratic expression and understanding differ from each designer

    A Quantitative Clustering Approach to Ultrametricity in Spin Glasses

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    We discuss the problem of ultrametricity in mean field spin glasses by means of a hierarchical clustering algorithm. We complement the clustering approach with quantitative testing: we discuss both in some detail. We show that the elimination of the (in this context accidental) spin flip symmetry plays a crucial role in the analysis, since the symmetry hides the real nature of the data. We are able to use in the analysis disorder averaged quantities. We are able to exhibit a number of features of the low TT phase of the mean field theory, and to claim that the full hierarchical structure can be observed without ambiguities only on very large lattice volumes, not currently accessible by numerical simulations.Comment: 15 pages with color figure

    An Algorithm for Grouping Lines Which Converge to Vanishing Points in Perspective Sketches of Polyhedra

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    We seek to detect the vanishing points implied by design sketches of engineering products. Adapting previous ap- proaches, developed in computer vision for analysis of vectorised photographic images, is unsatisfactory, as they do not allow for the inherent imperfection of sketches. Human perception seems not to be disturbed by such imperfections. Hence, we have de- signed and implemented a vanishing point detection algorithm which mimics the human perception process and tested it with perspective line drawings derived from engineering sketches of polyhedral objects. The new algorithm is fast, easily- implemented, returns the approximate locations of the main vanishing points and identifies those groups of lines in 2D which correspond to groups of parallel edges in the 3D object

    EU accession and Poland's external trade policy

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    AN EXPLORATORY CONSTRUCTIVIST GROUNDED THEORY STUDY: HOW SECONDARY SCHOOL SCIENCE TEACHERS INTERPRET STUDENTS’ SCIENTIFIC MODELS THAT ARE COMPRISED OF DRAWING ACTIVITIES

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    Extant literature lacks an explanation of the thought processes used by secondary school science teachers to interpret students’ scientific models that are comprised of drawing activities. In this exploratory study, a constructivist grounded theory (CGT) was developed to generate an interpretive understanding. The CGT was generated from observations, interviews, and document analyses of five research participants consisting of secondary school science teachers from lower New York State. To generate a CGT, concepts, terms, assumptions, and definitions from selected theories—decolonizing methodologies theory (DMT), visual semiotic theory (VST), and cultural studies theory (CST)—collectively provided a fresh onto-epistemological lens for initially examining and bringing transparency to the invisible influences on the intangible thought processes of science teachers when they interpret students’ scientific models. At the end of the study, a CGT was developed which is expressed as nine assertions, a diagrammatic display/axial coding paradigm, and an explanation consisting of found poetry developed from the research findings. Using reflective and reflexive analytical memos, this study revealed that the thoughts of secondary school science teachers consist of five themes: (1) direction or rules, (2) forms of communication, (3) creations (4) interpretation or understanding, and (5) problem-solving heuristics during students’ struggle. In addition, the theory illustrated that in the context of lower New York State, science disciplinary culture works by crossing borders (Aikenhead & Elliott, 2010; Carter, 2011; New York State Education Department, 2019a; Rasheed, 2001, 2006; Snively & Corsiglia, 2001) between Western cultural thoughts and non-Western/Indigenous cultural thoughts. This study will benefit both stakeholders and scholars. For stakeholders, this study offers a substantive theory for understanding the assessment practices of science teachers. For scholars, this study provides a CGT that integrates theories/subdisciplines that are epistemologically distant/close and generates ongoing research. In particular, the theory provides scholars with findings that can be used to subsequently conduct a quantitative study, whereby a culturally sensitive survey instrument can be generated and validated
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