SKETCH-BASED INTERFACES AND MODELING 06
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Total Pages | : |
Release | : 2017 |
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ISBN | : 9781138413511 |
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Release | : 2017 |
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ISBN | : 9781138413511 |
Author | : Joaquim Jorge |
Publisher | : Springer Science & Business Media |
Total Pages | : 404 |
Release | : 2010-12-15 |
Genre | : Computers |
ISBN | : 1848828128 |
The field of sketch-based interfaces and modeling (SBIM) is concerned with developing methods and techniques to enable users to interact with a computer through sketching - a simple, yet highly expressive medium. SBIM blends concepts from computer graphics, human-computer interaction, artificial intelligence, and machine learning. Recent improvements in hardware, coupled with new machine learning techniques for more accurate recognition, and more robust depth inferencing techniques for sketch-based modeling, have resulted in an explosion of both sketch-based interfaces and pen-based computing devices. Presenting the first coherent, unified overview of SBIM, this unique text/reference bridges the two complementary research areas of user interaction (sketch-based interfaces), and graphical modeling and construction (sketch-based modeling). The book discusses the state of the art of this rapidly evolving field, with contributions from an international selection of experts. Also covered are sketch-based systems that allow the user to manipulate and edit existing data - from text, images, 3D shapes, and video - as opposed to modeling from scratch. Topics and features: reviews pen/stylus interfaces to graphical applications that avoid reliance on user interface modes; describes systems for diagrammatic sketch recognition, mathematical sketching, and sketch-based retrieval of vector drawings; examines pen-based user interfaces for engineering and educational applications; presents a set of techniques for sketch recognition that rely strictly on spatial information; introduces the Teddy system; a pioneering sketching interface for designing free-form 3D models; investigates a range of advanced sketch-based systems for modeling and designing 3D objects, including complex contours, clothing, and hair-styles; explores methods for modeling from just a single sketch or using only a few strokes. This text is an essential resource for researchers, practitioners and graduate students involved in human-factors and user interfaces, interactive computer graphics, and intelligent user interfaces and AI.
Author | : Joaquim Jorge |
Publisher | : |
Total Pages | : 416 |
Release | : 2011-03-30 |
Genre | : Computer simulation |
ISBN | : 9781848828131 |
The field of sketch-based interfaces and modeling (SBIM) is concerned with developing methods and techniques to enable users to interact with a computer through sketching - a simple, yet highly expressive medium. SBIM blends concepts from computer graphics, human-computer interaction, artificial intelligence, and machine learning. Recent improvements in hardware, coupled with new machine learning techniques for more accurate recognition, and more robust depth inferencing techniques for sketch-based modeling, have resulted in an explosion of both sketch-based interfaces and pen-based computing.
Author | : Thomas Frank Stahovich |
Publisher | : |
Total Pages | : 175 |
Release | : 2006 |
Genre | : Computer graphics |
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Total Pages | : |
Release | : 2017 |
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ISBN | : 9781138413788 |
Author | : Alexandra Bonnici |
Publisher | : CRC Press |
Total Pages | : 303 |
Release | : 2023-05-31 |
Genre | : Technology & Engineering |
ISBN | : 1000824039 |
Sketching is a natural and intuitive communication tool used for expressing concepts and ideas that are difficult to communicate through text or speech alone. In design applications, drawings are used at various stages of the design process: from the early concept drawings scribbled on a piece of paper to immersive interactions in which users manipulate and adjust the 3D form of an object in virtual or augmented reality environments. This variety in drawing activities brings about the need for different interpretation strategies that support not only the sketching activity itself, but also allow sketch-based interactions, such as sketch-based queries, to take place. In this book, we explore the different drawing approaches used in design and the algorithms required for processing and interpreting the different sketches and drawings in design. The book is divided into two parts. The first part focuses on sketching in the 2D domain. This includes the digitization of offline and paperbased sketches, techniques for online sketch recognition, observations of user drawing habits, algorithms for inferring depth from 2D drawings, as well as non-photorealistic rendering techniques that are then applied to sketch-based queries. The second part of the book focuses on 3D sketching in virtual or augmented reality spaces. Here, we present the processing and rendering of the 3D strokes, the different interaction devices available for 3D sketching, and look at different applications where immersive 3D sketching has been applied with success.
Author | : Christine Alvarado |
Publisher | : |
Total Pages | : 35 |
Release | : 2009 |
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Total Pages | : 175 |
Release | : 2006 |
Genre | : Computer graphics |
ISBN | : 9783905673395 |
Author | : Gabe Johnson |
Publisher | : Now Publishers Inc |
Total Pages | : 104 |
Release | : 2009-01-30 |
Genre | : Computers |
ISBN | : 1601981961 |
Computational Support for Sketching in Design surveys the literature on sketch based tools from journals, conference proceedings, symposia and workshops in human-computer interaction, cognitive science, design research, computer science, artificial intelligence, and engineering design.
Author | : Deepak Garg |
Publisher | : Springer Nature |
Total Pages | : 375 |
Release | : 2021-02-10 |
Genre | : Computers |
ISBN | : 9811604045 |
This two-volume set (CCIS 1367-1368) constitutes reviewed and selected papers from the 10th International Advanced Computing Conference, IACC 2020, held in December 2020. The 65 full papers and 2 short papers presented in two volumes were thorougly reviewed and selected from 286 submissions. The papers are organized in the following topical sections: Application of Artificial Intelligence and Machine Learning in Healthcare; Using Natural Language Processing for Solving Text and Language related Applications; Using Different Neural Network Architectures for Interesting applications; Using AI for Plant and Animal related Applications.- Applications of Blockchain and IoT.- Use of Data Science for Building Intelligence Applications; Innovations in Advanced Network Systems; Advanced Algorithms for Miscellaneous Domains; New Approaches in Software Engineering.