Light field image processing: an overview

Light field imaging has emerged as a technology allowing to capture richer visual information from our world. As opposed to traditional photography, which captures a 2D projection of the light in the scene integrating the angular domain, light fields collect radiance from rays in all directions, demultiplexing the angular information lost in conventional photography. On the one hand, this higher dimensional representation of visual data offers powerful capabilities for scene understanding, and substantially improves the performance of traditional computer vision problems such as depth sensing, post-capture refocusing, segmentation, video stabilization, material classification, etc. On the other hand, the high-dimensionality of light fields also brings up new challenges in terms of data capture, data compression, content editing, and display. Taking these two elements together, research in light field image processing has become increasingly popular in the computer vision, computer graphics, and signal processing communities. In this paper, we present a comprehensive overview and discussion of research in this field over the past 20 years. We focus on all aspects of light field image processing, including basic light field representation and theory, acquisition, super-resolution, depth estimation, compression, editing, processing algorithms for light field display, and computer vision applications of light field data

From motion capture to interactive virtual worlds : towards unconstrained motion-capture algorithms for real-time performance-driven character animation

This dissertation takes performance-driven character animation as a representative application and advances motion capture algorithms and animation methods to meet its high demands. Existing approaches have either coarse resolution and restricted capture volume, require expensive and complex multi-camera systems, or use intrusive suits and controllers. For motion capture, set-up time is reduced using fewer cameras, accuracy is increased despite occlusions and general environments, initialization is automated, and free roaming is enabled by egocentric cameras. For animation, increased robustness enables the use of low-cost sensors input, custom control gesture definition is guided to support novice users, and animation expressiveness is increased. The important contributions are: 1) an analytic and differentiable visibility model for pose optimization under strong occlusions, 2) a volumetric contour model for automatic actor initialization in general scenes, 3) a method to annotate and augment image-pose databases automatically, 4) the utilization of unlabeled examples for character control, and 5) the generalization and disambiguation of cyclical gestures for faithful character animation. In summary, the whole process of human motion capture, processing, and application to animation is advanced. These advances on the state of the art have the potential to improve many interactive applications, within and outside virtual reality.Diese Arbeit befasst sich mit Performance-driven Character Animation, insbesondere werden Motion Capture-Algorithmen entwickelt um den hohen Anforderungen dieser Beispielanwendung gerecht zu werden. Existierende Methoden haben entweder eine geringe Genauigkeit und einen eingeschränkten Aufnahmebereich oder benötigen teure Multi-Kamera-Systeme, oder benutzen störende Controller und spezielle Anzüge. Für Motion Capture wird die Setup-Zeit verkürzt, die Genauigkeit für Verdeckungen und generelle Umgebungen erhöht, die Initialisierung automatisiert, und Bewegungseinschränkung verringert. Für Character Animation wird die Robustheit für ungenaue Sensoren erhöht, Hilfe für benutzerdefinierte Gestendefinition geboten, und die Ausdrucksstärke der Animation verbessert. Die wichtigsten Beiträge sind: 1) ein analytisches und differenzierbares Sichtbarkeitsmodell für Rekonstruktionen unter starken Verdeckungen, 2) ein volumetrisches Konturenmodell für automatische Körpermodellinitialisierung in genereller Umgebung, 3) eine Methode zur automatischen Annotation von Posen und Augmentation von Bildern in großen Datenbanken, 4) das Nutzen von Beispielbewegungen für Character Animation, und 5) die Generalisierung und Übertragung von zyklischen Gesten für genaue Charakteranimation. Es wird der gesamte Prozess erweitert, von Motion Capture bis hin zu Charakteranimation. Die Verbesserungen sind für viele interaktive Anwendungen geeignet, innerhalb und außerhalb von virtueller Realität

Marketing of innovations & Innovational marketing

У навчальному посібнику розглядаються нові тенденції розвитку маркетингу в 21-м столітті: маркетинг інновацій, зелений маркетинг, партизанський маркетинг, шокова реклама, нейромаркетинг, інтернет-маркетинг, маркетинг в соціальних медіа, подієвий маркетинг і вірусний маркетинг. Розглянуто переваги та недоліки інноваційних видів маркетингу, конкретні особливості їх застосування сучасних умовах. Навчальний посібник призначений для студентів, аспірантів і викладачів економічних спеціальностей, а також для всіх, хто зацікавлений в сучасному маркетингу.В учебном пособии рассматриваются новые тенденции развития маркетинга в 21 веке: маркетинг инноваций, зеленый маркетинг, партизанский маркетинг, шоковая реклама, нейромаркетинг, интернет-маркетинг, маркетинг в социальных сетях, маркетинг событий и вирусный маркетинг. Рассмотрены преимущества и недостатки инновационных видов маркетинга, конкретные особенности их применения в современных условиях. Пособие предназначено для студентов, аспирантов и преподавателей экономических специальностей, а также для всех, кто интересуется современным маркетингом.The teaching manual deals with new marketing development trends in the 21st century: marketing of innovations, green marketing, guerrilla marketing, shock advertising, neuromarketing, internet marketing, social media marketing, event marketing, and viral marketing. Advantages and disadvantages of innovative kinds of marketing, particular features of their application of modern conditions have been considered. The manual is intended for undergraduates, postgraduates and instructors of economic majors, as well as for everybody who is interested in contemporary marketing