Abstract: A system and method of deep learning using deep networks to predict new views from existing images may generate and improve models and representations from large-scale data. This system and method of deep learning may employ a deep architecture performing new view synthesis directly from pixels, trained from large numbers of posed image sets. A system employing this type of deep network may produce pixels of an unseen view based on pixels of neighboring views, lending itself to applications in graphics generation.

Abstract: A system and method of deep learning using deep networks to predict new views from existing images may generate and improve models and representations from large-scale data. This system and method of deep learning may employ a deep architecture performing new view synthesis directly from pixels, trained from large numbers of posed image sets. A system employing this type of deep network may produce pixels of an unseen view based on pixels of neighboring views, lending itself to applications in graphics generation.

Abstract: Over the past few years there has been a dramatic proliferation of digital cameras, and it has become increasingly easy to share large numbers of photographs with many other people. These trends have contributed to the availability of large databases of photographs. Effectively organizing, browsing, and visualizing such .seas. of images, as well as finding a particular image, can be difficult tasks. In this paper, we demonstrate that knowledge of where images were taken and where they were pointed makes it possible to visualize large sets of photographs in powerful, intuitive new ways. We present and evaluate a set of novel tools that use location and orientation information, derived semi-automatically using structure from motion, to enhance the experience of exploring such large collections of images.

Abstract: A magnetorheological fluid composition comprising a carrier fluid; and a plurality of high aspect ratio magnetizable particles, wherein the aspect ratio of the high aspect ratio magnetizable particles is greater than 1.5. Optionally, the high aspect ratio magnetizable particles can have interlocking structures comprising male component and a female component. Still further, a magnetorheological fluid composition can comprise low aspect ratio magnetizable particles having the interlocking structures, wherein the aspect ratio of the low aspect ratio magnetizable particles is 1 to 1.5.

Abstract: A magnetorheological fluid composition comprising a low aspect ratio magnetizable particle comprising a unimodal particle distribution and an aspect ratio less than 1.5, a high aspect ratio magnetizable particle comprising an aspect ratio greater than 1.5, and a carrier fluid.