作者:
Herve, J.-Y.Aloimonos, Y.Computer Vision Laboratory
Center for Automation Research Department of Computer Science Institute for Advanced Computer Studies University of Maryland College ParkMD207 42 United States
An active approach to the integration of shape from x modules-here shape from shading and shape from texture-is proposed. The question of what constitutes a good motion for the active observer is addressed. Generally,...
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作者:
L. HuangY. AloimonosComputer Vision Laboratory
Center for Automation Research University of Maryland College Park MD USA Computer Vision Laboratory
Center for Automation Research Computer Science Department and Institute for Advanced Computer Studies University of Maryland College Park MD USA
Under the traditional paradigm of considering vision as a recovery problem, visual interception is just another application of the structure-from-motion module. However, the inherent difficulties of three-dimensional ...
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Under the traditional paradigm of considering vision as a recovery problem, visual interception is just another application of the structure-from-motion module. However, the inherent difficulties of three-dimensional reconstruction have delayed any real-time applications. The authors offer a robust solution under the active qualitative vision paradigm. From the image intensity function, they obtain the locomotive intrinsics of the agent and the target. Based on this relative information, they present a control strategy that decides in real time whether the velocity of the agent should be increased or decreased at any time instant, thus guiding the agent to intercept the target. The problem of visual interception can thus be solved by simple computation without correspondence.< >
作者:
J.-Y. HerveY. AloimonosComputer Vision Laboratory
Center for Automation Research Department of Computer Science Institute for Advanced Computer Studies University of Maryland College Park MD USA
An active approach to the integration of shape from x modules-here shape from shading and shape from texture-is proposed. The question of what constitutes a good motion for the active observer is addressed. Generally,...
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An active approach to the integration of shape from x modules-here shape from shading and shape from texture-is proposed. The question of what constitutes a good motion for the active observer is addressed. Generally, the role of the visual system is to provide depth information to an autonomous robot; a trajectory module will then interpret it to determine a motion for the robot, which in turn will affect the visual information received. It is suggested that the motion can also be chosen so as to improve the performance of the visual system.< >
The performance of a Gabor odd filter-based edge detector is investigated using the measures proposed by Canny. Based on this performance analysis a design criterion for 1-D Gabor filter-based edge detector is derived...
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The performance of a Gabor odd filter-based edge detector is investigated using the measures proposed by Canny. Based on this performance analysis a design criterion for 1-D Gabor filter-based edge detector is derived. It is shown that this design criterion holds good for a 2-D Gabor filter-based edge detector as well. Experimental results are presented to demonstrate the significance of the proposed design criterion.< >
We present a new model for the perceptual reasoning involved in hand/eye coordination, and we show how this model can be developed into a control mechanism for a robot manipulator with a visual sensor. This new approa...
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The medial axis transform (MAT) is a sparse representation of shape, which, being reversible, has potential for binary image compression. The MAT also provides structural information not accessible with alternative bi...
The authors present a systematic comparison of three commonly used least-squares based methods that describes the relationship between noise levels, patch sizes and reliability of surface classification in computer vi...
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The authors present a systematic comparison of three commonly used least-squares based methods that describes the relationship between noise levels, patch sizes and reliability of surface classification in computervision. The different methods were tested on several sets of synthetic and real data. Complete sets of quadric surfaces were tested. In each case the standard deviation of the Gaussian noise ranged from 0 to 0.05. Four different patch sizes were tested in each case representing data from the entire surface, half surface, quarter surface and from a small patch of the surface. Similar tests were made for two different types of real range data, a sphere and a cylinder. Both synthetic and real data showed improvement in the results obtained by using the M-estimate method in the case of gross outlying points.< >
We present a model for flexible extruded objects, such as wires, tubes, or grommets, and demonstrate a novel, *** seven-dimensional Hough transform that derives and analyzes their three-space curved axes from position...
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The problem of efficient path planning for a point robot in a partially known dynamic environment is considered. The static known part of the environment consists of point shelters distributed in planar terrain, and t...
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The problem of efficient path planning for a point robot in a partially known dynamic environment is considered. The static known part of the environment consists of point shelters distributed in planar terrain, and the dynamic, unknown part is abstracted in the form of alarms that cause the robot to leave its current (pre-planned) path and divert to the nearest shelter. A probabilistic analysis of the expected times for the dynamic paths generated when the alarms follow a Poisson distribution with parameter lambda is given. A case study with three shelters serves to illustrate the dependence of the expected travel times on lambda for two alternate static paths. Two different strategies are presented for the general case of n shelters and shown to be superior for different ranges of values of the alarm rate lambda (very low and very high values, respectively).< >
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