The Experts below are selected from a list of 12213 Experts worldwide ranked by ideXlab platform

Oscar Pastor - One of the best experts on this subject based on the ideXlab platform.

  • the Beautification process in model driven engineering of user interfaces
    International Conference on Human-Computer Interaction, 2007
    Co-Authors: Inés Pederiva, Jean Vanderdonckt, Sergio España, Ignacio Panach, Oscar Pastor
    Abstract:

    The Beautification of a user interface resulting from model-to-model and model-to-code transformations in Model-Driven Architecture consists of performing manual changes to address user requirements which have not been supported during the transformations. These requirements may include customization, users' preferences, and compliance with corporate style guidelines. This paper introduces a Beautification process into a user-interface model. This process includes a series of Beautification operations based on a formal definition, as well as a constrained editor that enables designers to apply these Beautification operations on a user interface. All manual changes done using these Beautification operations are transformed into model-to-model transformations, thus reducing the problem of round-trip engineering. The paper also demonstrates that this process significantly reduces the number of manual changes performed on user interfaces of information systems, while preserving the quality properties induced by the transformations.

  • INTERACT (1) - The Beautification process in model-driven engineering of user interfaces
    Lecture Notes in Computer Science, 2007
    Co-Authors: Inés Pederiva, Jean Vanderdonckt, Sergio España, Ignacio Panach, Oscar Pastor
    Abstract:

    The Beautification of a user interface resulting from model-to-model and model-to-code transformations in Model-Driven Architecture consists of performing manual changes to address user requirements which have not been supported during the transformations. These requirements may include customization, users' preferences, and compliance with corporate style guidelines. This paper introduces a Beautification process into a user-interface model. This process includes a series of Beautification operations based on a formal definition, as well as a constrained editor that enables designers to apply these Beautification operations on a user interface. All manual changes done using these Beautification operations are transformed into model-to-model transformations, thus reducing the problem of round-trip engineering. The paper also demonstrates that this process significantly reduces the number of manual changes performed on user interfaces of information systems, while preserving the quality properties induced by the transformations.

Takeo Igarashi - One of the best experts on this subject based on the ideXlab platform.

  • Global Beautification of 2D and 3D Layouts with Interactive Ambiguity Resolution.
    IEEE transactions on visualization and computer graphics, 2019
    Co-Authors: Guohang Yan, Takeo Igarashi, Chiew-lan Tai, Hui Huang
    Abstract:

    Specifying precise relationships among graphic elements is often a time-consuming process with traditional alignment tools. Automatic Beautification of roughly designed layouts can provide a more efficient solution but often lead to undesired results due to ambiguity problems. To facilitate ambiguity resolution in layout Beautification, we present a novel user interface for visualizing and editing inferred relationships through an automatic global layout Beautification process. First, our interface provides a preview of the beautified layout with inferred constraints without directly modifying an input layout. In this way, the user can easily keep refining Beautification results by interactively repositioning and/or resizing elements in the input layout. Second, we present a gestural interface for editing automatically inferred constraints by directly interacting with the visualized constraints via simple gestures. Our technique is applicable to both 2D and 3D global layout Beautification, supported by efficient system implementation that provides instant user feedback. Our user study validates that our tool is capable of creating, editing and refining layouts of graphic elements, and is significantly faster than the standard snap-dragging or command-based alignment tools for both 2D and 3D layout tasks.

  • UIST - Global Beautification of layouts with interactive ambiguity resolution
    Proceedings of the 27th annual ACM symposium on User interface software and technology, 2014
    Co-Authors: Takeo Igarashi, Chiew-lan Tai
    Abstract:

    Automatic global Beautification methods have been proposed for sketch-based interfaces, but they can lead to undesired results due to ambiguity in the user's input. To facilitate ambiguity resolution in layout Beautification, we present a novel user interface for visualizing and editing inferred relationships. First, our interface provides a preview of the beautified layout with inferred constraints, without directly modifying the input layout. In this way, the user can easily keep refining Beautification results by interactively repositioning and/or resizing elements in the input layout. Second, we present a gestural interface for editing automatically inferred constraints by directly interacting with the visualized constraints via simple gestures. Our efficient implementation of the Beautification system provides the user instant feedback. Our user studies validate that our tool is capable of creating, editing and refining layouts of graphic elements and is significantly faster than the standard snap-dragging and command-based alignment tools.

  • global Beautification of layouts with interactive ambiguity resolution
    User Interface Software and Technology, 2014
    Co-Authors: Takeo Igarashi, Chiew-lan Tai
    Abstract:

    Automatic global Beautification methods have been proposed for sketch-based interfaces, but they can lead to undesired results due to ambiguity in the user's input. To facilitate ambiguity resolution in layout Beautification, we present a novel user interface for visualizing and editing inferred relationships. First, our interface provides a preview of the beautified layout with inferred constraints, without directly modifying the input layout. In this way, the user can easily keep refining Beautification results by interactively repositioning and/or resizing elements in the input layout. Second, we present a gestural interface for editing automatically inferred constraints by directly interacting with the visualized constraints via simple gestures. Our efficient implementation of the Beautification system provides the user instant feedback. Our user studies validate that our tool is capable of creating, editing and refining layouts of graphic elements and is significantly faster than the standard snap-dragging and command-based alignment tools.

  • interactive Beautification a technique for rapid geometric design
    International Conference on Computer Graphics and Interactive Techniques, 2006
    Co-Authors: Takeo Igarashi, Sachiko Kawachiya, Satoshi Matsuoka, Hidehiko Tanaka
    Abstract:

    We propose interactive Beautification, a technique for rapid geometric design, and introduce the technique and its algorithm with a prototype system Pegasus. The motivation is to solve the problems with current drawing systems: too many complex commands and unintuitive procedures to satisfy geometric constraints. Interactive Beautification system receives the user's freestroke and beautifies it by considering geometric constraints among segments. A single stroke is beautified one after another, preventing accumulation of recognition errors or catastrophic deformation. Supported geometric constraints includes perpendicularity, congruence, symmetry, etc., which were not seen in existing freestroke recognition systems. In addition, the system generates multiple candidates as a result of Beautification to solve the problem of ambiguity. Using the technique, the user can draw precise diagrams rapidly satisfying geometric relations without using any editing commands. Interactive Beautification is achieved by three sequential processes; 1) inferring underlining geometric constraints based on the spatial relationships among the input stroke and the existing segments, 2) generating multiple candidates combining inferred constraints appropriately, and 3) evaluating the candidates to find the most plausible candidate and to remove the inappropriate candidates. An user study was performed using the prototype system, a commercial CAD, and an OO-based drawing system. The result showed that the users can draw required diagrams more rapidly and more precisely using the prototype system.

  • SIGGRAPH Courses - Interactive Beautification: a technique for rapid geometric design
    ACM SIGGRAPH 2006 Courses on - SIGGRAPH '06, 2006
    Co-Authors: Takeo Igarashi, Sachiko Kawachiya, Satoshi Matsuoka, Hidehiko Tanaka
    Abstract:

    We propose interactive Beautification, a technique for rapid geometric design, and introduce the technique and its algorithm with a prototype system Pegasus. The motivation is to solve the problems with current drawing systems: too many complex commands and unintuitive procedures to satisfy geometric constraints. Interactive Beautification system receives the user's freestroke and beautifies it by considering geometric constraints among segments. A single stroke is beautified one after another, preventing accumulation of recognition errors or catastrophic deformation. Supported geometric constraints includes perpendicularity, congruence, symmetry, etc., which were not seen in existing freestroke recognition systems. In addition, the system generates multiple candidates as a result of Beautification to solve the problem of ambiguity. Using the technique, the user can draw precise diagrams rapidly satisfying geometric relations without using any editing commands. Interactive Beautification is achieved by three sequential processes; 1) inferring underlining geometric constraints based on the spatial relationships among the input stroke and the existing segments, 2) generating multiple candidates combining inferred constraints appropriately, and 3) evaluating the candidates to find the most plausible candidate and to remove the inappropriate candidates. An user study was performed using the prototype system, a commercial CAD, and an OO-based drawing system. The result showed that the users can draw required diagrams more rapidly and more precisely using the prototype system.

Busch Christoph - One of the best experts on this subject based on the ideXlab platform.

  • Impact and Detection of Facial Beautification in Face Recognition: An Overview
    IEEE, 2019
    Co-Authors: Rathgeb Christian, Dantcheva Antitza, Busch Christoph
    Abstract:

    International audienceFacial Beautification induced by plastic surgery, cosmetics or retouching has the ability to substantially alter the appearance of face images. Such types of Beautification can negatively affect the accuracy of face recognition systems. In this work, a conceptual categorisation of Beautification is presented, relevant scenarios with respect to face recognition are discussed, and related publications are revisited. Additionally, technical considerations and trade-offs of the surveyed methods are summarized along with open issues and challenges in the field. This survey is targeted to provide a comprehensive point of reference for biometric researchers and practitioners working in the field of face recognition, who aim at tackling challenges caused by facial Beautification

Christoph Busch - One of the best experts on this subject based on the ideXlab platform.

  • Impact and Detection of Facial Beautification in Face Recognition: An Overview
    IEEE Access, 2019
    Co-Authors: Christian Rathgeb, Antitza Dantcheva, Christoph Busch
    Abstract:

    Facial Beautification induced by plastic surgery, cosmetics or retouching has the ability to substantially alter the appearance of face images. Such types of Beautification can negatively affect the accuracy of face recognition systems. In this work, a conceptual categorisation of Beautification is presented, relevant scenarios with respect to face recognition are discussed, and related publications are revisited. Additionally, technical considerations and trade-offs of the surveyed methods are summarized along with open issues and challenges in the field. This survey is targeted to provide a comprehensive point of reference for biometric researchers and practitioners working in the field of face recognition, who aim at tackling challenges caused by facial Beautification.

C Faure - One of the best experts on this subject based on the ideXlab platform.

  • Pattern recognition and Beautification for a pen based interface
    Proceedings of 3rd International Conference on Document Analysis and Recognition, 1995
    Co-Authors: Leschinski Julia, C Faure
    Abstract:

    The paper presents the algorithms for recognition and\nBeautification which are used in incremental graphic design\napplications. These applications propose multimodal interfaces\nintegrating handwriting, gesture, and speech on a pen-computer. User and\ncomputer collaborate to perform the task of incrementally designing a\ndrawing. Processing and data representation take into account the\nvariable quality of handwritten data, the man-machine interaction\ncontext and the cooperation between the user and the interpretation\nsystem. Both recognition algorithms may be used in combination in order\nto increase the speed and the set of recognized figures. Local\nrecognition is followed by the Beautification of the global structure in\norder to detect alignments and logical structures. The Beautification\nenables the user to display a clean version of the original draft. The\napplications which the authors developed are used to recognize tables,\ngestures, geometrical figures or diagram networks

  • ICDAR - Pattern recognition and Beautification for a pen based interface
    Proceedings of 3rd International Conference on Document Analysis and Recognition, 1
    Co-Authors: Leschinski Julia, C Faure
    Abstract:

    The paper presents the algorithms for recognition and Beautification which are used in incremental graphic design applications. These applications propose multimodal interfaces integrating handwriting, gesture, and speech on a pen-computer. User and computer collaborate to perform the task of incrementally designing a drawing. Processing and data representation take into account the variable quality of handwritten data, the man-machine interaction context and the cooperation between the user and the interpretation system. Both recognition algorithms may be used in combination in order to increase the speed and the set of recognized figures. Local recognition is followed by the Beautification of the global structure in order to detect alignments and logical structures. The Beautification enables the user to display a clean version of the original draft. The applications which the authors developed are used to recognize tables, gestures, geometrical figures or diagram networks.