Display resolution

Abstract: This paper introduces the Everywhere Displays projector, a device that uses a rotating mirror to steer the light from an LCD/DLP projector onto different surfaces of an environment. Issues of brightness, oblique projection distortion, focus, obstruction, and display resolution are examined. Solutions to some of these problems are described, together with a plan to use a video camera to allow device-free interaction with the projected images. The ED-projector is a practical way to create ubiquitous graphical interfaces to access computational power and networked data. In particular, it is envisioned as an alternative to the carrying of laptops and to the installation of displays in furniture, objects, and walls. In addition, the use of ED-projectors to augment reality without the use of goggles is examined and illustrated with examples.

Abstract: A head-mounted display system including a high resolution active matrix display which reduces center of gravity offset in a compact design. The active matrix display can be either a liquid crystal display or a light emitting display.

Abstract: Ultrathin, flexible electronic displays that look like print on paper are of great interest1,2,3,4 for application in wearable computer screens, electronic newspapers and smart identity cards. Here we realize the fabrication of such a display on a bendable active-matrix-array sheet. The display is less than 0.3 mm thick, has high pixel density (160 pixels × 240 pixels) and resolution (96 pixels per inch), and can be bent to a radius of curvature of 1.5 cm without any degradation in contrast. This use of electronic ink technology on such an ultrathin, flexible substrate should greatly extend the range of display applications.

Abstract: We address the problem of synthesizing new video frames in an existing video, either in-between existing frames (interpolation), or subsequent to them (extrapolation). This problem is challenging because video appearance and motion can be highly complex. Traditional optical-flow-based solutions often fail where flow estimation is challenging, while newer neural-network-based methods that hallucinate pixel values directly often produce blurry results. We combine the advantages of these two methods by training a deep network that learns to synthesize video frames by flowing pixel values from existing ones, which we call deep voxel flow. Our method requires no human supervision, and any video can be used as training data by dropping, and then learning to predict, existing frames. The technique is efficient, and can be applied at any video resolution. We demonstrate that our method produces results that both quantitatively and qualitatively improve upon the state-of-the-art.

Abstract: A panoramic image based virtual reality display system includes a panoramic optical assembly, preferably of substantially spherical coverage, feeding composite optical images to a light sensitive surface of a video camera for storage or further processing in image processing circuitry. Such image processing circuitry includes a special effects generator and image segment circuitry to divide a composite image into a plurality of image segments or sub-segments for display on individual displays of multiple video display assemblies. Such a multiple video display assembly preferably includes a closed structure having individual display units mounted in all viewable directions therein, with segments of the composite image displayed on respective display units to recreate the panoramic view gathered by the panoramic optical assembly. The image processing circuitry may also select a portion or portions of the composite image for display on one or two displays of a head mounted display unit.