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Journal ArticleDOI

Recognition of occluded objects with heuristic search

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.
About
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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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Book

Principles of Artificial Intelligence

TL;DR: This classic introduction to artificial intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval.
Journal ArticleDOI

Model-based recognition in robot vision

TL;DR: This paper presents a comparative study and survey of model-based object-recognition algorithms for robot vision, and an evaluation and comparison of existing industrial part- recognition systems and algorithms is given, providing insights for progress toward future robot vision systems.
Journal ArticleDOI

Segmentation of Plane Curves

TL;DR: A new fast algorithm is proposed which allows for a variable number of segments iniecewise approximation as a way of feature extraction, data compaction, and noise filtering of boundaries of regions of pictures and waveforms.
Journal ArticleDOI

HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects

TL;DR: The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatic picking and repositioning of partially overlapping industrial parts to provide strong robustness to partial occlusions.