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Journal ArticleDOI

Recognition of occluded objects with heuristic search

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TLDR
A new heuristic search based approach for recognition of partially obscured planar shapes using an admissible heuristic function which is not dependent upon the features actually used for representing the shapes.
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This article is published in Pattern Recognition.The article was published on 1990-07-01. It has received 14 citations till now. The article focuses on the topics: Admissible heuristic & Incremental heuristic search.

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Citations
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Journal ArticleDOI

Model-based stroke extraction and matching for handwritten Chinese character recognition

TL;DR: This method is able to obtain reliable stroke correspondence and enable structural interpretation and some structural post-processing operations are applied to improve the stroke correspondence.
Journal ArticleDOI

A new approach for aggregating edge points into line segments

TL;DR: Experimental results presented here highlight the effectiveness of this method for approximating object boundaries of polygonal as well as curved shapes present in the images of complex multi-object scenes even in the presence of noise.
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Coarse-to-fine adaptive masks for appearance matching of occluded scenes

J. L. Edwards, +1 more
TL;DR: Results are presented which demonstrate that an iterative, coarse-to-fine sum-squared-error method that uses information from hypothesized occlusion events to perform run-time modification of scene- to-template similarity measures is reasonably robust over a large database of color test scenes containing objects at a variety of scales and tolerates minor 3D object rotations and global illumination variations.
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Recognition of partially occluded objects by correlation methods

TL;DR: In this paper, the phase-only filter, the inverse filter and the minimum variance -minimum average correlation energy filter are considered for pattern recognition of occluded objects, and numerical and optical results of the recognition are presented.
Journal ArticleDOI

Image analysis and computer vision: 1990

TL;DR: A bibliography of over 1600 references related to computer vision and image analysis, arranged by subject matter is presented, covering topics including architectures; computational techniques; feature detection, segmentation, and imageAnalysis.
References
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Angle Detection on Digital Curves

TL;DR: A simple parallel procedure for selecting significant curvature maxima and minima on a digital curve is described.
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A Model-Based Vision System for Industrial Parts

TL;DR: A vision system has been developed which can determine the position and orientation of complex curved objects in gray-level noisy scenes and organizes and reduces the image data from a digitized picture to a compact representation having the appearance of a line drawing.
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Matching Images to Models for Registration and Object Detection via Clustering

TL;DR: A new technique for matching image features to maps or models which forms all possible pairs of image features and model features which match on the basis of local evidence alone and which is robust with respect to changes of image orientation and content.
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Recognizing Partially Occluded Parts

TL;DR: An efficient template matching algorithm using templates weighted by boundary segment saliency is presented and employed to recognize partially occluded parts and illustrates the effectiveness of the new technique.
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A graph distance measure for image analysis

TL;DR: A new, efficient approach for calculating a global distance measure between attributed relational graphs is proposed, and its applications in computer vision are discussed.