This paper deals with the problem of extracting information regarding the chemical composition of stones in the human gallbladder from in vitro and in vivo B-scan ultrasonic images. The images are subjected to the Her...
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This paper deals with the problem of extracting information regarding the chemical composition of stones in the human gallbladder from in vitro and in vivo B-scan ultrasonic images. The images are subjected to the Hermite pyramid decomposition technique described in Part I (Venkatesh, Y. V., Ultrasonic Imaging, 18, 261-301, 1996). In an attempt to determine the chemical composition of the gallstones, the gradients of the decomposed images are input to an unsupervised classifier. The outputs of the classifier exhibit some interesting patterns that appear to be related to the chemical composition of the gallstones contained in these images. (C) 1996 Academic Press.
作者:
Bonitz, RGHsia, TCSystems
Controland Robotics LaboratoryDepartment of Electrical and Computer Engineering University of California Davis CA USA
An internal force-based impedance control scheme for cooperating manipulators is introduced which controls the motion of the objects being manipulated and the internal force on the objects. The controller enforces a r...
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An internal force-based impedance control scheme for cooperating manipulators is introduced which controls the motion of the objects being manipulated and the internal force on the objects. The controller enforces a relationship between the velocity of each manipulator and the internal force on the manipulated objects. Each manipulator is directly given the properties of an impedance by the controller;thus, eliminating the gain limitation inherent in the structure of previously proposed schemes. The controller uses the forces sensed at the robot end effecters to compensate for the effects of the objects' dynamics and to compute the internal force using only kinematic relationships. Thus, knowledge of the objects' dynamics is not required. Stability of the system is proven using Lyapunov theory and simulation results are presented validating the proposed concepts. The effect of computational delays in digital control implementations is analyzed vis-a-vis stability and a lower bound derived on the size of the desired manipulator inertia relative to the actual manipulator endpoint inertia. The bound is independent of the sample time.
The basic robot control technique is the model based computer-torque control which is known to suffer performance degradation due to model uncertainties. Adding a neural network (NN) controller in the control system i...
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The basic robot control technique is the model based computer-torque control which is known to suffer performance degradation due to model uncertainties. Adding a neural network (NN) controller in the control system is one effective way to compensate for the ill effects of these uncertainties. In this paper a systematic study of NN controller for a robot manipulator under a unified computed-torque control framework is presented. Both feedforward and feedback NN control schemes are studied and compared using a common back-propagation training algorithm. Effects on system performance for different choices of NN input types, hidden neurons, weight update rates, and initial weight values are also investigated. Extensive simulation studies for trajectory tracking are carried out and compared with other established robot control schemes.
A novel paradigm for the synthesis of convergent-axis stereo geometries is presented. This paradigm incorporates constraints that represent task-oriented properties that can be easily derived in many applications of s...
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A new focal plane architecture for motion computation is presented. The design is based on the Smart Sensor paradigm: combining transduction and early processing at sensor level. The sensor computes focal plane motion...
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A new focal plane architecture for motion computation is presented. The design is based on the Smart Sensor paradigm: combining transduction and early processing at sensor level. The sensor computes focal plane motion and direction in a subsampled space, with programmable spatiotemporal bandwidth. The architecture is designed around an array of neuromorphic analog processing cells with local photo-transduction, computation of temporal variations in the image and correlation between neighbor pixels. The inherent process of serial read-out is used for further integration of low-level processing and reduction of complexity of each pixel. An external dedicated digital processor controls the system, interprets, and integrates the information from sets of four processing pixels in order to create a motion-based medium-level description of the image. The approach developed for VLSI implementation offers an excellent combination of small pixel area and a computationally efficient method for image motion measurement. The architecture is being implemented in a standard 1.5 mu m CMOS process. (C) 1996 Academic Press Limited
There are still significant problems in the planning, design and management of public facilities subject to dense pedestrian traffic. The automation of data collection and analysis of crowd behaviour is increasingly d...
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A novel paradigm for the synthesis of convergent-axis stereo geometries is presented. This paradigm incorporates constraints that represent task-oriented properties that can be easily derived in many applications of s...
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A novel paradigm for the synthesis of convergent-axis stereo geometries is presented. This paradigm incorporates constraints that represent task-oriented properties that can be easily derived in many applications of stereo-ranging, particularly those involving manipulation. Given these properties, a solution that selects the set of optimal design parameters, in the sense of accuracy, under the given constraints is presented. Results of this algorithm are discussed and analyzed in terms of the optimality of the minimum-area technique used in the derivation.
A method for automatic library entry and update of three-dimensional representations of 3D rigid, planar-faced objects is presented in this paper. Geometric and structural information is obtained from multiple monocul...
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A method for automatic library entry and update of three-dimensional representations of 3D rigid, planar-faced objects is presented in this paper. Geometric and structural information is obtained from multiple monocular 2D image frames and placed in relational tables. Point correspondences are found from the relational tables to reconstruct the 3D scene object. A number of global descriptors, obtained from the reconstructed object, are used as indexes to the model library to select similarly structured models for matching. A probabilistic procedure using the indexes determines whether the scene object is already represented by a library model. If the model is represented, a technique based on the hypothesize-and-test paradigm compares the scene object to the library model to update the model representation with any new geometric and structural information. If the model is not present in the library, the new model representation is added to the model library.
Image-to-site model registration is critical to model supported exploitation of aerial and satellite imagery. This paper presents a fully-automatic registration method. This method uses a multi-resolution image-to-ima...
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Image-to-site model registration is critical to model supported exploitation of aerial and satellite imagery. This paper presents a fully-automatic registration method. This method uses a multi-resolution image-to-image registration process assuming both affine and projective transformations to determine and refine the locations of 3D control points in the new image. Camera resection is subsequently accomplished. Registration results obtained on real imagery show good performance.
The paper discusses the concepts of invariance and equivariance in the context of continuous operator groups, or Lie groups, acting on both the image and a descriptor of some image feature. The theory is illustrated b...
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The paper discusses the concepts of invariance and equivariance in the context of continuous operator groups, or Lie groups, acting on both the image and a descriptor of some image feature. The theory is illustrated by an example of how a 3D image neighbourhood that contains a linear structure can be mapped to a tensor that represents the orientation of the structure. A second order tensor is defined which represents both local orientation and local phase in a continuous way, the phase is given by the relation between the symmetric and anti-symmetric part of this tensor. By computing a tensor inner product of the tensor, a phase invariant orientations representation is obtained.
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