the authors describe a novel method of obtaining a fixation point on a moving object for a real-time gaze control system. the method makes use of a real-time implementation of a corner detector and tracker and reconst...
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the authors describe a novel method of obtaining a fixation point on a moving object for a real-time gaze control system. the method makes use of a real-time implementation of a corner detector and tracker and reconstructs the image position of the desired fixation point from a cluster of corners detected on the object using the affine structure available from two or three views. the method is fast, reliable, viewpoint invariant, and insensitive to occlusion and/or individual corner dropout or reappearance. Results are presented for the method used with a high performance head/eye platform. the results are compared with two naive fixation methods.< >
A method for localization, the act of recognizing the environment, is presented. the method is based on representing the scene as a set of 2-D views and predicting the appearances of novel views by linear combinations...
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A method for localization, the act of recognizing the environment, is presented. the method is based on representing the scene as a set of 2-D views and predicting the appearances of novel views by linear combinations of the model views. the method accurately approximates the appearance of scenes under weak perspective projection. Analysis of this projection as well as experimental results demonstrate that in many cases this approximation is sufficient to accurately describe the scene. When weak perspective approximation is invalid, either a larger number of models can be acquired or an iterative solution to account for the perspective distortions can be used. the method has several advantages over other approaches. It uses relatively rich representations; the representations are 2-D rather than 3-D; and localization can be done from only a single 2-D view.< >
the authors present a method for robustly and accurately estimating the rotation and translation between a camera and a 3-D object from point and line correspondences. First they devise an error function and then show...
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the authors present a method for robustly and accurately estimating the rotation and translation between a camera and a 3-D object from point and line correspondences. First they devise an error function and then show how to minimize this error function. the quadratic nature of this function is made possible by representing rotation and translation with a dual number quaternion. A detailed account is provided of the computational aspects of a trust-region optimization method. this method compares favourably with Newton's method, which has extensively been used to solve the problem, and with Faugeras-Toscani's linear method (1986) for calibrating a camera. Some experimental results are presented which demonstrate the robustness of the method with respect to image noise and matching errors.< >
the authors show some very recent results using the weak-calibration idea. Assuming that only the epipolar geometry is known of a pair of stereo images, encoded in the so-called fundamental matrix, it is shown that so...
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the authors show some very recent results using the weak-calibration idea. Assuming that only the epipolar geometry is known of a pair of stereo images, encoded in the so-called fundamental matrix, it is shown that some useful three-dimensional information such as relative positions of points and planes and 3-D convex hulls can be computed. the notion of visibility is introduced, which allows deriving those properties. Results of both synthetic and real data are shown.< >
the authors present a physics-based approach for recovering the 3-D shape and tracking the motion of nonrigid objects using a 3-D elastically deformable balloon model. the balloon model is based on a thin-plate under ...
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the authors present a physics-based approach for recovering the 3-D shape and tracking the motion of nonrigid objects using a 3-D elastically deformable balloon model. the balloon model is based on a thin-plate under tension spline which deforms to fit visual data according to internal forces stemming from the elastic properties of the surface and external forces which are produced from the data. the finite element method is used to represent the model as a continuous surface. A natural finite element is used whose nodal variables comprise the position of the surface plus its first and second partial derivatives, reflecting each of the partial derivatives that occur in the spline's strain energy functional. Hence, the model directly estimates all the information needed to measure the differential geometric properties of the fitted surface. the balloon model was applied to the reconstruction of 3-D objects with irregular shape features. Its effectiveness is demonstrated in extracting the left ventricular surface and tracking its nonrigid motion in dynamic computerized tomography volume images.< >
the focus of this research work is on the design of a computer system for a robotthat uses relative position dynamic control through vision feedback from an end-point mounted camera. A suitable implementation of the ...
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作者：
Nicewarner, Keith E.Kelley, Robert B.Electrical
Computer and Systems Engineering Department Center for Intelligent Robotic Systems for Space Exploration Rensselaer Polytechnic Institute TroyNY12180-3590 United States
Monocular information from a gripper-mounted camera is used io servo a robot gripper to grasp a strut. the procedure is divided into four phases: learn, recognition, alignment, and approach. In the learn phase, a stru...
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the problem of curve detection decomposes naturally into two stages: (i) inferring the (discrete) trace and tangent to the curve;and (ii) finding integrals through the resultant tangent field. Orientation selection is...
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Machine vision is in its infancy both technically and as a manufacturing tool. Even at this early stage, machine vision can play a vital role in evolving manufacturing from today's fixed automation to flexible fut...
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ISBN:
(纸本)0903608758
Machine vision is in its infancy both technically and as a manufacturing tool. Even at this early stage, machine vision can play a vital role in evolving manufacturing from today's fixed automation to flexible future automation. this paper describes the elements of productivity improvement currently achieved with machine vision and predicts how machine vision can be a bridge technology. Sensory automation is vital if computer integrated manufacturing is to become a reality. Use of machine vision now expedites practical development of the technology as well as user expertise.
vision systems capable of analysis of grey scale images are now becoming available and offer the potential to fully address the complex inspection requirements that exist in today's manufacturing industry. their w...
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ISBN:
(纸本)0903608758
vision systems capable of analysis of grey scale images are now becoming available and offer the potential to fully address the complex inspection requirements that exist in today's manufacturing industry. their widespread use is however likely to be limited by the cost of developing applications specific software that is sufficiently robust to achieve acceptable inspection performance. By using a 'Knowledge Based Model' to direct the analysis, performance can be improved while allowing programming to be performed by non-expert users in a graphical manner. this approach is illustrated by an example from the automobile industry.
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