A passive universal image steganalysis method is proposed that is shown to be of higher detection accuracy than existing truly blind steganalysis methods including Farid's and the WAM. This is achieved by improvin...
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We introduce slow-light enhanced absorption switches in subwavelength metal-dielectric-metal plasmonic waveguides. Both decent modulation depth and moderate insertion loss can be achieved in such switches by small ind...
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In automatic sleep stage classification, as in any other signal processing task involving the easily contaminated EEG signals, denoising constitutes a crucial pre-processing step that must be addressed before carrying...
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In this paper, we present an approach, inspired by human behavior, in predicting the state of a high speed object based on the state of another object that causes such a high speed, e.g. predicting the state of a high...
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ISBN:
(纸本)9781457721366
In this paper, we present an approach, inspired by human behavior, in predicting the state of a high speed object based on the state of another object that causes such a high speed, e.g. predicting the state of a high speed puck which is hit by a lower speed paddle in the air hockey game. The proposed approach eliminates the need for high speed sensors, such as high speed cameras and grabbers, for capturing and processing high speed motions. This approach has been implemented and tested on an air hockey simulator and in real images taken by an off-the-shelf camera. The results show that the low speed of a paddle in the air hockey can be easily captured by an off-the-shelf camera and then the state of the puck, which is the speed and its pose, after being hit by the paddle can be calculated.
Abstract We consider a game played between a hider, who hides a static object in one of several possible positions in a bounded planar region, and a searcher, who wishes to reach the object by querying sensors placed ...
Abstract We consider a game played between a hider, who hides a static object in one of several possible positions in a bounded planar region, and a searcher, who wishes to reach the object by querying sensors placed in the plane. The searcher is a mobile agent, and whenever it physically visits a sensor, the sensor returns a random direction, corresponding to a half-plane in which the hidden object is located. We first present a novel search heuristic and characterize bounds on the expected distance covered before reaching the object. Next, we model this game as a large-dimensional zero-sum dynamic game and we apply a recently introduced randomized sampling technique that provides a probabilistic level of security to the hider. We observe that, when the randomized sampling approach is only allowed to select a very small number of samples, the cost of the heuristic is comparable to the security level provided by the randomized procedure. However, as we allow the number of samples to increase, the randomized procedure provides a higher probabilistic security level.
Achieving global asymptotic stabilization of rigid-body attitude is impossible using smooth feedback;however, this obstruction can be overcome using a hybrid controller that coordinates a "synergistic" famil...
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Achieving global asymptotic stabilization of rigid-body attitude is impossible using smooth feedback;however, this obstruction can be overcome using a hybrid controller that coordinates a "synergistic" family of potential functions and their corresponding feedbacks. In this paper, we show that it is impossible to construct a synergistic family of potential functions from the widely used class of "modified trace functions," despite the fact that one can choose a subset of these functions whose only common critical point is the identity element. With this as motivation, we introduce a parametrized diffeomorphism that is capable of altering the critical behavior of potential functions and generating a synergistic family, paving the way for global asymptotic attitude stabilization of rigid-body attitude by hybrid feedback.
In this work, spectrum sensing experiments are conducted in indoor wireless channels using state-of-the-art commercial software radio transceivers. The objective is to evaluate the performance of cooperative spectrum ...
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In this work, spectrum sensing experiments are conducted in indoor wireless channels using state-of-the-art commercial software radio transceivers. The objective is to evaluate the performance of cooperative spectrum sensing of wideband channels and determine achievable gains against the limiting effects of multipath interference, frequency-selective and correlated fading. To this end, the energy and temporal correlation metrics of narrowband signals embedded in a wideband transmit signal are examined with varying transmitter-receiver positions. It is shown that whereas the energy metric of signal carrying bands becomes indistinguishable from that of empty bands with increasing distance and in non line-of-sight conditions, the temporal correlation features of modulated active channels are retained when sensing relatively longer distances from the transmitter, even in a highly multipath environment.
Feature-aligned surface mapping improves the effect of texture mapping by enforcing feature correspondence between 3D meshes and images. We present a novel constrained texture mapping computation framework based on th...
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Feature-aligned surface mapping improves the effect of texture mapping by enforcing feature correspondence between 3D meshes and images. We present a novel constrained texture mapping computation framework based on the method of fundamental solution (MFS). We First flatten the surface onto planar domain, then compose a 2D harmonic map with user specified features aligned with corresponding texels in the texture image. We demonstrate that our framework can efficiently conduct feature-aligned texture mapping with dynamic deforming meshes or texture images.
We present a skull assembly and completion framework based on shape matching. In order to assemble fragmented skulls, we need to compute rigid transformations from these fragments to their assembled geometry. We devel...
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We present a skull assembly and completion framework based on shape matching. In order to assemble fragmented skulls, we need to compute rigid transformations from these fragments to their assembled geometry. We develop a reliable assembly pipeline where each fragment is matched and transformed to be aligned with the template. In order to further complete the assembled skull with several damaged regions, we use the template to repair damaged regions on the assembled skull. The entire pipeline has been conducted on several real skull models and demonstrated great robustness and effectiveness.
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