This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does not consider video restoration as a sequence of image restoration problems. Rather, it treats a video sequence as a space-time volume and poses a space-time total variation regularization to enhance the smoothness of the solution. The optimization problem is solved by transforming the original unconstrained minimization problem to an equivalent constrained minimization problem. An augmented Lagrangian method is used to handle the constraints, and an alternating direction method is used to iteratively find solutions to the subproblems. The proposed algorithm has a wide range of applications, including video deblurring and denoising, video disparity refinement, and hot-air turbulence effect reduction.
We present Silicone iLluminated Active Peripherals (SLAP), a system of tangible, translucent widgets for use on multitouch tabletops. SLAP Widgets are cast from silicone or made of acrylic, and include sliders, knobs, keyboards, and buttons. They add tactile feedback to multi-touch tables, improving input accuracy. Using rear projection, SLAP Widgets can be relabeled dynamically, providing inexpensive, battery-free, and untethered augmentations. Furthermore, SLAP combines the flexibility of virtual objects with physical affordances. We evaluate how SLAP Widgets influence the user experience on tabletops compared to virtual controls. Empirical studies show that SLAP Widgets are easy to use and outperform virtual controls significantly in terms of accuracy and overall interaction time.of on-screen controls have begun to show. For example, typing on a projected soft keyboard is difficult due to the lack of tactile feedback, but returning to physical input devices is not always an option. On a large table surface, a physical keyboard is either far away from the on-screen locus of attention, or it blocks part of the projection when put onto the table. On-screen buttons and scrollbars also lack tactile feedback, making it hard to operate them fluidly, but physical counterparts are not readily available.SLAP (Silicone ILluminated Active Peripherals) are transparent physical widgets made from flexible silicone and acrylic. As input devices, they combine the advantages of physical and virtual on-screen widgets. They provide a haptic operation experience with tactile feedback, supporting fluid and eyes-free operation. At the same time, thanks to their transparency, they support dynamic software-controlled labeling, using the rear projection of the interactive table they rest on. SLAP Widgets are also very simple hardware devices, without the need for tethering or any power, making them highly robust and affordable for research and prototyping. When made from silicone, they are even physically flexible and can literally be "slapped" on a table or tossed across the table from one user to another.After a review of related research, the remainder of this paper introduces the hardware and software architecture be-Figure 1. SLAP Widgets. a) Keypads with two and three buttons. b) Knob. c) Slider. d) Keyboard.
We present a novel stereo video disparity estimation method. The proposed method is a two-stage algorithm. During the first stage, initial disparity maps are computed in a frameby-frame basis. In the second stage, the initial estimates are treated as a space-time volume. By setting up an l 1 -normed minimization problem with a novel three-dimensional total variation regularization, spatial smoothness and temporal consistency are handled simultaneously. Due to our unique formulation, any existing image disparity estimation technique may utilize our method as a post-processing step to refine noisy estimates or to be extended to videos. The proposed method shows superior speed, accuracy, and consistency compared to state-of-the-art algorithms.
Numerous attempts have been made to introduce three-dimensional (3-D) video systems into clinical routine, particularly for surgeries. The drawback with all of them thus far has been the fact that they require users to wear cumbersome glasses in order to receive the advantage of stereoscopy. In this study, we present, to our best knowledge, the world's very first laparoscopic surgical system that delivers glasses-free multiview 3-D in high-definition (HD) resolution. In addition to quantitative evaluations of the individual video processing components in our previous studies, we perform an initial subjective study with laparoscopically experienced surgeons, yielding very promising results. This study is still preliminary and requires further evaluation before the system may be introduced into standard surgical routine. Yet, we have developed a fully functioning prototype and successfully demonstrated its potential to numerous surgeons.
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