Image and Video-Based Artistic Stylisation


Book Description

Non-photorealistic rendering (NPR) is a combination of computer graphics and computer vision that produces renderings in various artistic, expressive or stylized ways such as painting and drawing. This book focuses on image and video based NPR, where the input is a 2D photograph or a video rather than a 3D model. 2D NPR techniques have application in areas as diverse as consumer and professional digital photography and visual effects for TV and film production. The book covers the full range of the state of the art of NPR with every chapter authored by internationally renowned experts in the field, covering both classical and contemporary techniques. It will enable both graduate students in computer graphics, computer vision or image processing and professional developers alike to quickly become familiar with contemporary techniques, enabling them to apply 2D NPR algorithms in their own projects.




Image and Video-Based Artistic Stylisation


Book Description

Non-photorealistic rendering (NPR) is a combination of computer graphics and computer vision that produces renderings in various artistic, expressive or stylized ways such as painting and drawing. This book focuses on image and video based NPR, where the input is a 2D photograph or a video rather than a 3D model. 2D NPR techniques have application in areas as diverse as consumer and professional digital photography and visual effects for TV and film production. The book covers the full range of the state of the art of NPR with every chapter authored by internationally renowned experts in the field, covering both classical and contemporary techniques. It will enable both graduate students in computer graphics, computer vision or image processing and professional developers alike to quickly become familiar with contemporary techniques, enabling them to apply 2D NPR algorithms in their own projects.




Computer Vision, Imaging and Computer Graphics Theory and Applications


Book Description

This book constitutes thoroughly revised and selected papers from the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, held in Prague, Czech Republic, in February 2019. The 25 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 395 submissions. The papers contribute to the understanding of relevant trends of current research on computer graphics; human computer interaction; information visualization; computer vision.




The Visual Language of Technique


Book Description

The book is inspired by the second seminar in a cycle connected to the celebrations of the 150th anniversary of the Politecnico di Milano. "Working with the Image Description Processing Prediction" was the motto of this meeting, aiming to point out the role of Visual Language not only in describing reality, but also in supporting the thinking processes in Science (prediction), in Art (invention), in Technical studies (prevision) and in identifying and working on both visible and invisible phenomena. As John Barrow states, "So often a picture is better than a thousand words" and "The visual language is the most natural, while the other language could reasonably be considered as 'postscripts' to the human story". The essays included in the volume (from lectures, the poster session, interviews and round table) will show the wide range of technical possibilities connected with the present use of the Image, especially thanks to Computer Graphics, from 3D Modeling to Augmented Reality, while also offering a glimpse of interesting theoretical perspectives. In the end, as noted by Martin Heidegger, the word "theory" not only comes from the Ancient Greek verb "theoreo", that is "to see, to observe", but it also echoes the words "theos" and "thea", namely "god" and "goddess", and above all, it shares the root with the term "aletheia", which is the "truth", which is not far from the ultimate goal of research.




The Visual Narrative Reader


Book Description

Sequential images are as natural at conveying narratives as verbal language, and have appeared throughout human history, from cave paintings and tapestries right through to modern comics. Contemporary research on this visual language of sequential images has been scattered across several fields: linguistics, psychology, anthropology, art education, comics studies, and others. Only recently has this disparate research begun to be incorporated into a coherent understanding. In The Visual Narrative Reader, Neil Cohn collects chapters that cross these disciplinary divides from many of the foremost international researchers who explore fundamental questions about visual narratives. How does the style of images impact their understanding? How are metaphors and complex meanings conveyed by images? How is meaning understood across sequential images? How do children produce and comprehend sequential images? Are visual narratives beneficial for education and literacy? Do visual narrative systems differ across cultures and historical time periods? This book provides a foundation of research for readers to engage in these fundamental questions and explore the most vital thinking about visual narrative. It collects important papers and introduces review chapters summarizing the literature on specific approaches to understanding visual narratives. The result is a comprehensive “reader” that can be used as a coursebook, a researcher resource and a broad overview of fascinating topics suitable for anyone interested in the growing field of the visual language of comics and visual narratives.




Computer Vision – ECCV 2018


Book Description

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.




Computer Analysis of Images and Patterns


Book Description

The two volume set LNCS 11678 and 11679 constitutes the refereed proceedings of the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019. The 106 papers presented were carefully reviewed and selected from 176 submissions The papers are organized in the following topical sections: Intelligent Systems; Real-time and GPU Processing; Image Segmentation; Image and Texture Analysis; Machine Learning for Image and Pattern Analysis; Data Sets and Benchmarks; Structural and Computational Pattern Recognition; Posters.




Interactive Sketch-based Interfaces and Modelling for Design


Book Description

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.




Computer Networks, Big Data and IoT


Book Description

This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.




Artistic Style Characteriza


Book Description

Automatic style characterization is the process of measuring, extracting, and analysing different formal elements. Brushstroke technique, in conjunction with other formal elements such as colour and texture, play a vital role in defining an artistic style. This thesis explores the stroke-based style analysis of the paintings of Vincent van Gogh, who is well-known for his use of wide and repetitive brushstrokes. Novel brushstroke extraction techniques are used to segment and analyse Van Gogh’s brushstrokes. The extracted features can then be compiled into a feature set which represents the quantified brushstrokes’ properties and tested using several classification based tests. The most contributing factor for detecting visible brushstroke is the brushstroke’s texture, due to the fact that the texture-based segmentation methods give more satisfactory results in extracting visible brushstrokes with their average classification accuracy and F-measure being 98.30% and 0.973 respectively.