5 research outputs found

    Adapting Multi-touch Systems to Capitalise on Different Display Shapes

    Get PDF
    The use of multi-touch interaction has become more widespread. With this increase of use, the change in input technique has prompted developers to reconsider other elements of typical computer design such as the shape of the display. There is an emerging need for software to be capable of functioning correctly with different display shapes. This research asked: ‘What must be considered when designing multi-touch software for use on different shaped displays?’ The results of two structured literature surveys highlighted the lack of support for multi-touch software to utilise more than one display shape. From a prototype system, observations on the issues of using different display shapes were made. An evaluation framework to judge potential solutions to these issues in multi-touch software was produced and employed. Solutions highlighted as being suitable were implemented into existing multi-touch software. A structured evaluation was then used to determine the success of the design and implementation of the solutions. The hypothesis of the evaluation stated that the implemented solutions would allow the applications to be used with a range of different display shapes in such a way that did not leave visual content items unfit for purpose. The majority of the results conformed to this hypothesis despite minor deviations from the designs of solutions being discovered in the implementation. This work highlights how developers, when producing multi-touch software intended for more than one display shape, must consider the issue of visual content items being occluded. Developers must produce, or identify, solutions to resolve this issue which conform to the criteria outlined in this research. This research shows that it is possible for multi-touch software to be made display shape independent

    Integrated analog focal plane processing for automatic alignment

    Get PDF
    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.Includes bibliographical references (p. 161-168).by Christopher Bruce Umminger.Ph.D

    Enhanced Reality Visualization in a Surgical Environment

    Get PDF
    Enhanced reality visualization is the process of enhancing an image by adding to it information which is not present in the original image. A wide variety of information can be added to an image ranging from hidden lines or surfaces to textual or iconic data about a particular part of the image. Enhanced reality visualization is particularly well suited to neurosurgery. By rendering brain structures which are not visible, at the correct location in an image of a patient's head, the surgeon is essentially provided with X-ray vision. He can visualize the spatial relationship between brain structures before he performs a craniotomy and during the surgery he can see what's under the next layer before he cuts through. Given a video image of the patient and a three dimensional model of the patient's brain the problem enhanced reality visualization faces is to render the model from the correct viewpoint and overlay it on the original image. The relationship between the coordinate frames of the patient, the patient's internal anatomy scans and the image plane of the camera observing the patient must be established. This problem is closely related to the camera calibration problem. This report presents a new approach to finding this relationship and develops a system for performing enhanced reality visualization in a surgical environment. Immediately prior to surgery a few circular fiducials are placed near the surgical site. An initial registration of video and internal data is performed using a laser scanner. Following this, our method is fully automatic, runs in nearly real-time, is accurate to within a pixel, allows both patient and camera motion, automatically corrects for changes to the internal camera parameters (focal length, focus, aperture, etc.) and requires only a single image

    The 1991 Goddard Conference on Space Applications of Artificial Intelligence

    Get PDF
    The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The papers in this proceeding fall into the following areas: Planning and scheduling, fault monitoring/diagnosis/recovery, machine vision, robotics, system development, information management, knowledge acquisition and representation, distributed systems, tools, neural networks, and miscellaneous applications
    corecore