Software designed for direct-touch interfaces often utilize a metaphor of direct physical manipulation of pseudo "realworld" objects. However, current touch systems typically take 50-200ms to update the display in response to a physical touch action. Utilizing a high performance touch demonstrator, subjects were able to experience touch latencies ranging from current levels down to about 1ms. Our tests show that users greatly prefer lower latencies, and noticeable improvement continued well below 10ms. This level of performance is difficult to achieve in commercial computing systems using current technologies. As an alternative, we propose a hybrid system that provides low-fidelity visual feedback immediately, followed by high-fidelity visuals at standard levels of latency.
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Video projectors have typically been used to display images on surfaces whose geometric relationship to the projector remains constant, wuch as walls or pre-calibrated surfaces. In this paper, we present a technique for projecting content onto moveable surfaces that adapts to the motion and location of the surface to simulate an active display. This is accomplished using a projector based location tracking technique. We use light sensors embedded into the moveable surface and project low-perceptibility Gray-coded patterns to first discover the sensor locations, and then imcrementally track them at interactive rates. We describe how to reduce the perceptibility of tracking patterns, achieve interactive tracking rates, use motion modeling to improve tracaking performance, and respond to sensor occlusions. A group of tracked sensors can define quadrangles for simulating moveable displays while single sensors can be used as control inputs. By unifying the tracking and display technology into a single mechanism, we can substantially reduce the cost and complexity of implementing applications that combine motion tracking and projected imagery. ACM Symposium on User Interface Software & Technology (UIST)This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Video projectors have typically been used to display images on surfaces whose geometric relationship to the projector remains constant, such as walls or pre-calibrated surfaces.In this paper, we present a technique for projecting content onto moveable surfaces that adapts to the motion and location of the surface to simulate an active display. This is accomplished using a projector based location tracking techinque. We use light sensors embedded into the moveable surface and project low-perceptibility Graycoded patterns to first discover the sensor locations, and then incrementally track them at interactive rates. We describe how to reduce the perceptibility of tracking patterns, achieve interactive tracking rates, use motion modeling to improve tracking performance, and respond to sensor occlusions. A group of tracked sensors can define quadrangles for simulating moveable displays while single sensors can be used as control inputs. By unifying the tracking and display technology into a single mechanism, we can substantially reduce the cost and complexity of implementing applications that combine motion tracking and projected imagery.
Projection technology typically places several constraints on the geometric relationship between the projector and the projection surface to obtain an undistorted, properly sized image. In this paper we describe a simple, robust, fast, and low-cost method for automatic projector calibration that eliminates many of these constraints. We embed light sensors in the target surface, project Gray-coded binary patterns to discover the sensor locations, and then prewarp the image to accurately fit the physical features of the projection surface. This technique can be expanded to automatically stitch multiple projectors, calibrate onto nonplanar surfaces for object decoration, and provide a method for simple geometry acquisition. UIST 2004This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. ABSTRACTProjection technology typically places several constraints on the geometric relationship between the projector and the projection surface to obtain an undistorted, properly sized image. In this paper we describe a simple, robust, fast, and low-cost method for automatic projector calibration that eliminates many of these constraints. We embed light sensors in the target surface, project Gray-coded binary patterns to discover the sensor locations, and then prewarp the image to accurately fit the physical features of the projection surface. This technique can be expanded to automatically stitch multiple projectors, calibrate onto nonplanar surfaces for object decoration, and provide a method for simple geometry acquisition.
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