Featuring hundreds of carefully hand-crafted illustrations as well as significant tuition on how to best compose and use images to create the most powerful frames, this book is potentially Hans P. Bacher´s life´s work encapsulated in one volume. Here, the internationally renowned production designer shares his expertise in an easy-to-follow and imaginative way - giving tips, exercises, and a depth of knowledge garnered from a lifetime in the industry. Bacher´s production designs have established the look of many seminal animated films such as The Lion King, Balto, Mulan and Beauty and the Beast, so fans of his work will be delighted. While keeping the focus on storytelling, Bacher instructs readers in the art of animated cinematography with the ever-present aim of soliciting an emotional response from the audience. Vision: Color and Composition for Film represents an amazing depth of experience - and is visually arresting to boot.
In recent years, spectacular images of ruined boats, makeshift border camps, and beaches littered with life vests have done much to consolidate the politics of migration and refugeeism in Europe. The mediation of migration as a crisis, in turn, has done much to shore up certain kinds of humanitarian response, legislative action, and affective investment. Bridging artistic practice and academic inquiry, the essays and artworks gathered in Moving Images interrogate the mediation of migration and refugeeism in the contemporary European conjuncture, asking how images, discourses, and data are involved in shaping visions of migration in increasingly global contexts.
Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of ´´recipes,´´ this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.
In celebration of the runaway hit Netflix series Stranger Things, Printed In Blood is proud to present the latest release in their ongoing series of artbooks. In celebration of the runaway hit Netflix series Stranger Things, Printed In Blood is proud to present the latest release in their ongoing series of artbooks. More than two hundred artists, drawn from the earthly dimensions of comics, illustration, fine art, videogames, and animation, have come together to bring us a unique vision of the world of Hawkins, Indiana. Come dig into this collection of more than two hundred brand-new images and see what new worlds you might discover lurking just beneath the surface.
When William Eggleston´s second artist´s book Morals of Visions was first published in 1978 in a limited edition of fifteen, only a handful of lucky people were able to obtain it; it has since become a collectible rarity. That is now to change with this new Steidl edition, which re-imagines Morals of Visions as a trade book for the general public. The original Morals of Vision contains eight color coupler prints of Eggleston´s archetypal still lifes, landscapes and portraits which glorify the banal and have since changed the history of color photography. ´´There is no particular reason to search for meaning,´´ Eggleston has said of his work in general, a sentiment in contrast with the title Morals of Vision which suggests that there are indeed principles of a kind to be learnt from the images in this book. Yet the lessons in photos including those of a broom leaning again a wall, green grain silos in the fading light, and an off-center electric candle complete with fake wax, remain Eggleston´s own ironic secret.
For courses in Image Processing and Computer Vision. Introduce your students to image processing with the industry´s most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the book´s 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.
In celebration of the runaway hit Netflix series Stranger Things , Printed In Blood is proud to present the latest release in their ongoing series of artbooks. The more than 200 artists featured, drawing from the earthly dimensions of comics, illustration, fine art, videogames, and animation, have come together to bring us a unique vision of the world of Hawkins, Indiana. The 200-plus brand-new images have been created specifically for this volume, which also includes an all-new introduction. Come dig into this collection and see what new worlds you might discover lurking just beneath the surface.
This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an ℑ explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an ℑ introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.
If you want a basic understanding of computer vision?s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You?ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. Programming Computer Vision with Python explains computer vision in broad terms that won?t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you?ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills. * Learn techniques used in robot navigation, medical image analysis, and other computer vision applications * Work with image mappings and transforms, such as texture warping and panorama creation * Compute 3D reconstructions from several images of the same scene * Organize images based on similarity or content, using clustering methods * Build efficient image retrieval techniques to search for images based on visual content * Use algorithms to classify image content and recognize objects * Access the popular OpenCV library through a Python interface