the authors present a highly robust estimator called an MF-estimator for general regression. It is argued that the kind of estimators needed by computervision must be highly robust and that the classical robust estim...
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the authors present a highly robust estimator called an MF-estimator for general regression. It is argued that the kind of estimators needed by computervision must be highly robust and that the classical robust estimators do not render a high robustness. It is explained that the high robustness becomes possible only through partially but completely modeling the unknown log likelihood function. Partial modeling explores a number of important heuristics implicit in the regression problem and takes place by taking them into consideration withthe Bayes statistical decision rule, while maximizing the log likelihood function. Experiments withthe simplest location estimation showed that the performance of the MF-estimator was superior to that of the classical M-estimator.< >
VIKNET (visual knowledge network), an extension of associative networks that is specifically designed for knowledge representation for recognition of 3-D objects, is introduced. the design criteria, largely influenced...
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VIKNET (visual knowledge network), an extension of associative networks that is specifically designed for knowledge representation for recognition of 3-D objects, is introduced. the design criteria, largely influenced by early visionprocessing, are discussed. VIKNET is formally described as an algebraic structure, with network functions defined on it. the input image, also in the form of a network, is recognized by a partial matching algorithm. A completely worked out example demonstrates the efficacy of the scheme even for shapes subjected to viewing angle transforms.< >
A number of architectures which combine efficient iconic and symbolic processing are reviewed. An approach which enhances the structure of the 2D mesh while still retaining that structure is suggested. the deficiencie...
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A number of architectures which combine efficient iconic and symbolic processing are reviewed. An approach which enhances the structure of the 2D mesh while still retaining that structure is suggested. the deficiencies of the mesh, in its usual form, in terms of symbolic processing are taken as indications of how the enhancement should proceed. the authors identify three orthogonal properties (processor power, processor autonomy, and interprocessor connectivity) which are open to manipulation. On the basis of a number of generic operations, both iconic and symbolic, the effect of varying each of these parameters is examined with emphasis on the requirements for sequences of operations to execute efficiently. An attempt is made to evaluate the cost-effectiveness of the various possibilities.< >
A collection of routing algorithms for the content-addressable array parallel processor (CAAPP) which allow many more classes of interprocessor communication to be executed efficiently than otherwise on machines with ...
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A collection of routing algorithms for the content-addressable array parallel processor (CAAPP) which allow many more classes of interprocessor communication to be executed efficiently than otherwise on machines with conventional mesh-connected topologies is presented. It is shown that routing on the CAAPP can be executed with simplicity and performance similar to that of a dedicated routing network. Experimental results are presented from random permutations as well as from several common machine vision applications.< >
the authors describe how a surface reconstruction algorithm based on minimizing the variation of surface curvature can be used to stabilize and correct the results of local shading analysis. the approach is viewpoint ...
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the authors describe how a surface reconstruction algorithm based on minimizing the variation of surface curvature can be used to stabilize and correct the results of local shading analysis. the approach is viewpoint independent and applicable to any process that can provide estimates of local surface orientation. the assumptions used in formulating the minimization are derived from standard differential geometry. When applied as a second stage of processing after local shading analysis, the algorithm can recover a close approximation of the true surface orientation under realistic assumptions about image noise. Results are presented that show the performance of the algorithm on synthetic and real data. In particular, they demonstrate how this form of reconstruction can compensate for some of the shape distortion incurred in local shading analysis.< >
An implementation of a texture segmentation algorithm on two high-performance computers, the Connection Machine CM-2 and the Convex mini-supercomputer, is presented. Texture segmentation is the process of identifying ...
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An implementation of a texture segmentation algorithm on two high-performance computers, the Connection Machine CM-2 and the Convex mini-supercomputer, is presented. Texture segmentation is the process of identifying regions with similar texture and separating regions with different textures and is one of the early steps towards identifying surfaces and objects in an image. A segmentation algorithm is described which first extracts texture tokens from the input image, then computes the Voronoi tessellation of the extracted tokens and measures shape features (moments of area) of the resulting Voronoi polygons. Feature similarity is used to obtain an initial labeling of texture tokens as interior or border with four quantized directions. this labeling is then refrained using probabilistic relaxation labeling. the computation of the Voronoi tessellation and the probabilistic relaxation labeling process, which are highly data-parallel procedures, are discussed. Substantial speedups were obtained over a sequential (Sun-4/280) implementation.< >
the application of multiple-single instruction multiple-data (M-SIMD) processing techniques to the problem of finding straight lines in an image is described, and the advantages of using these techniques instead of di...
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the application of multiple-single instruction multiple-data (M-SIMD) processing techniques to the problem of finding straight lines in an image is described, and the advantages of using these techniques instead of direct SIMD computation are illustrated by reference to a hierarchical architecture: the Warwick pyramid machine. the advantages over conventional implementations of the Hough transform are discussed, and performance timings for a hierarchical implementation are provided.< >
Several techniques to perform static and dynamic load balancing for vision systems are presented. these techniques capture the computational requirements of a task by examining the data when it is produced. they can b...
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Several techniques to perform static and dynamic load balancing for vision systems are presented. these techniques capture the computational requirements of a task by examining the data when it is produced. they can be applied to many vision systems because many algorithms in different systems are either the same or have similar computational characteristics. these techniques are evaluated by applying them on a parallel implementation of the algorithms in a motion estimation system on a hypercube multiprocessor system. It is shown that the performance gains when these data decomposition and load balancing techniques are used are significant and that the overhead of using these techniques is minimal.< >
the Multiport Array Receptor (MAR), a system which combines optical sensing with integrated focal-plane processing capabilities, is described. Its central element is a photosensor array with hexagonal tesselation and ...
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the Multiport Array Receptor (MAR), a system which combines optical sensing with integrated focal-plane processing capabilities, is described. Its central element is a photosensor array with hexagonal tesselation and complex peripheral selection logic which provides parallel analog readout over prescribed areas. An external computing module performs real-time spatial convolution at multiple resolutions while a closed-loop microprogrammed controller addresses regions of interest and supervises communication between the camera and the host computer. this integrated image sensor and processor implements programmed sequences of instruction primitives and yields a complete state description of each processed pixel. It is capable of automatic edge tracking and returns lists of connected pixels.< >
the multiangled parallelism (MAP) concept, which defines directional operations with directional elements, is discussed. To achieve the MAP operation, a parallel architecture in which MAP operations are summarized as ...
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the multiangled parallelism (MAP) concept, which defines directional operations with directional elements, is discussed. To achieve the MAP operation, a parallel architecture in which MAP operations are summarized as single or cyclic, unary or binary, logical operations is proposed. the hardware design is simulated using an existing image processor. It is demonstrated that geometric figures can be extracted from a topographical map by first extracting the core features and then expanding it gradually.< >
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