Noncoherent optical-imaging systems are identified as potential applications for the maximum-likelihood image-restoration methods that are currently being studied for various modalities of nuclear-medicine imaging. An...
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Noncoherent optical-imaging systems are identified as potential applications for the maximum-likelihood image-restoration methods that are currently being studied for various modalities of nuclear-medicine imaging. An analogy between the quantum-photon measurements of such an optical system and that of a gamma camera allow for this new application. Results of a computer simulation are presented that support its feasibility. One important property revealed by this simulation is that the maximum-likelihood method demonstrates the ability to extrapolate the Fourier spectrum of a band-limited signal. This ability can be partially understood in that this algorithm, similar to some of the other spectral-extrapolation algorithms, constrains the solution to nonnegative values. This observation has implications on the potential of superresolution, the restoration of images from a defocused optical system, and three-dimensional imaging with a microscope.
This paper describes a method for computing Gaussian and mean curvature maps from range data and a modification to this method aimed at facilitating its implementation as a VLSI circuit. The curvature computations con...
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This paper summarizes the design of a convolution processor card that is very low in cost, easy to use and most importantly, performs a 9 × 9 convolution in less than a second. Its high-performance is attributed ...
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An an application of robotics in physical rehabilitation therapy, a robotic system consisting of two planar robot arms, each with two degrees of freedom, is considered. This robotic system, when coupled across a human...
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An an application of robotics in physical rehabilitation therapy, a robotic system consisting of two planar robot arms, each with two degrees of freedom, is considered. This robotic system, when coupled across a human joint, provides a vehicle for rehabilitation of the joint following surgery or trauma. A novel approach for estimation of body segment parameters is formulated that uses state and output information from the robot system to improve these estimates. In addition, redundant sensors are used to improve the accuracy of the estimates. The dynamic equations for a single robot arm are provided and the system is simulated. Therapeutic applications of the robotic system are discussed and the sensitivity of the measured forces with respect to the robot arm joint angles is studied in order to find an optimum orientation of the system for the best possible estimation. The application of this system to both rehabilitation and sports medicine is also discussed.< >
We present a scheme of extracting edge information from parallel spatial frequency bands. From these we create an integrated image of most significant edges of different scales. The frequency bands are realized using ...
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If an autonomous vehilce is to operate in an environment of arbitrary complexity, it must be able to perceive the locations of the obstacles in its environment and store this information in a world model. It is import...
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Much of the emphasis in computervision research has been on recognizing objects. However, in order to perform tasks such as manipulating and avoiding collisions with objects, one needs to consider how to derive appro...
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Much of the emphasis in computervision research has been on recognizing objects. However, in order to perform tasks such as manipulating and avoiding collisions with objects, one needs to consider how to derive appropriate three-dimensional descriptions of objects from available sensor data. A description is given of a computational approach that has been successful in deriving renditions of shaded images in terms of volumetric primitives such as ellipsoids and cylinders.< >
The use of multisensor integration and fusion enables a multisensor-based mobile robot to operate in uncertain or unknown dynamic environments. After first distinguishing between multisensor integration and the more r...
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The objective of this paper is to develop an innovative 3-D objects recognition algorithm which solves correspondence problem and reduces computational cost for recognition. Correspondency between features of unknown ...
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A flexible robotic system with intelligent sensory capability which can be used in an industrial environment to autonomously perform sophisticated manufacturing tasks that are typically done by manual labor is present...
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