A set of local interaction field are suggested to replace the δ error term in usual regularization approaches. these local fields bring some computational and conceptual benefits. A set of local oriented position pin...
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the capabilities built into a processing network control the manner in which it generalizes from a training set and therefore how it groups environmental patterns. these capabilities are developed through learning, ul...
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this paper describes how techniques from the discipline of neuro-fuzzy and soft computing techniques can be used, in conjunction with methodologies from patternrecognition and digital signal processing, to effectivel...
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this paper describes how techniques from the discipline of neuro-fuzzy and soft computing techniques can be used, in conjunction with methodologies from patternrecognition and digital signal processing, to effectively perform speech data classification. In particular, we have applied the proposed method to automatic speaker recognition and achieved satisfactory results.
In order to improve the performance of a linear autoassocia-tor (which is a neural network model), we explore the use of several preprocessing techniques. the gist of our approach is to store, in addition to the origi...
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Stereo computation is just one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous resul...
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this paper describes a novel system, which is able to track multiple man made objects, typically vehicles moving in a natural open world scene and continue to track those vehicles even if they become occluded by a sta...
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ISBN:
(纸本)085296692X
this paper describes a novel system, which is able to track multiple man made objects, typically vehicles moving in a natural open world scene and continue to track those vehicles even if they become occluded by a static object in the scene. the system developed here interprets major structural features of an open world scene across consecutive image frames, building symbolic map representation of the image. the system assumes no a priori knowledge of any structure within the image. It builds the map of the scene on a frame by frame basis by tracking vehicles within the image. Extracted target dynamics are used in conjunction with a high-level reasoning process to construct the scene map. the map shows regions in the image where vehicles are likely to be detected and regions where they are likely to become occluded. the tracking is complicated by the fact that the vehicles to be tracked are expected to be a large distance from the camera and as such will only occupy a small number of image pixels. Based on the scene map and current target dynamics, the system predicts target occlusion and is able to continue tracking the target even though it is not in the field of view. the system has been tested using an input sequence of vehicles moving in a complex outdoor scene, where the vehicles undergo both full and partial occlusion.
In this paper, a genetic fuzzy neural network for patternrecognition is proposed by applying genetic algorithms to the Kwan-Cai fuzzy neural network (1990). A genetic-guided self-organizing learning algorithm is capa...
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In this paper, a genetic fuzzy neural network for patternrecognition is proposed by applying genetic algorithms to the Kwan-Cai fuzzy neural network (1990). A genetic-guided self-organizing learning algorithm is capable of reducing the number of fuzzy neurons and increasing recognition rates for the fixed number of output neurons. the simulations have indicated that the genetic fuzzy neural network can effectively recognize various distorted patterns with good recognition rates.
this paper deals withrecognition of complex shape and the method used is based on minimization of prior knowledge. We study both representations of image features and object shapes linked to photometry and geometry p...
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this paper deals withrecognition of complex shape and the method used is based on minimization of prior knowledge. We study both representations of image features and object shapes linked to photometry and geometry properties. A fuzzy representation is used which is defined by independent membership functions of geometric distortion, such as rotation, zoom and deformations due to the complexity of natural objects. this method is applied in two problems: automatic fish sorting and face recognition, where objects are complex for being real-world images.
the purpose of this article is to describe a new texture retrieval system, which is based on the use of fuzzy logic, neuro-fuzzy networks and morphological operators in the processes of qualitative to quantitative tex...
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the purpose of this article is to describe a new texture retrieval system, which is based on the use of fuzzy logic, neuro-fuzzy networks and morphological operators in the processes of qualitative to quantitative textural properties transformation, color and textural features extraction, features fusion, and feature similarity matching. One important characteristic of the proposed architecture is that it takes into account psychological aspects of texture perception and description.
the proceedings contain 92 papers. the special focus in this conference is on pattern Analysis, Object recognition and Tracking. the topics include: Computational complexity reduction in eigenspace approaches;an algor...
ISBN:
(纸本)3540634606
the proceedings contain 92 papers. the special focus in this conference is on pattern Analysis, Object recognition and Tracking. the topics include: Computational complexity reduction in eigenspace approaches;an algorithm for intrinsic dimensionality estimation;fully unsupervised clustering using center-surround receptive fields with applications to color-segmentation;multi-sensor fusion with bayesian inference;a vision-based object recognition system for autonomous mobile systems;real-time pedestrian tracking in natural scenes;non-rigid object recognition using principal component analysis and geometric hashing;object identification with surface signatures;computing projective and permutation invariants of points and lines;point projective and permutation invariants;computing 3D projective invariants from points and lines;extraction of filled-in data from color forms;improvement of vessel segmentation by elastically compensated patient motion in digital subtraction angiography images;three-dimensional quasi-binary image restoration for confocal microscopy and its application to dendritic trees;mosaicing of flattened images from straight homogeneous generalized cylinders;well-posedness of linear shape-from-shading problem;comparing convex shapes using minkowski addition;deformation of discrete object surfaces;non-archimedean normalized fields in texture analysis tasks;the radon transform-based analysis of bidirectional structural textures;textures and structural defects;self-calibration from the absolute conic on the plane at infinity;a badly calibrated camera in ego-motion estimation-propagation of uncertainty;6DOF calibration of a camera with respect to the wrist of a 5-axis machine tool;automated camera calibration and 3D egomotion estimation for augmented reality applications and optimally rotation-equivariant directional derivative kernels.
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