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Journal ArticleDOI

Abductive formalism for two-dimensional object recognition

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TLDR
The inferencing scheme provides a mechanism for integrating relational feature-based evidence with the information about the local region properties like color, texture, etc. for making correct recognition decisions.
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This article is published in Information Sciences.The article was published on 1993-02-01. It has received 1 citations till now.

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An Investigation of Significant Object Recognition Techniques

TL;DR: The effectiveness of four vital research techniques for object recognition in digital images are investigated including: Principal Component Analysis, Support Vector Machines, Hidden Markov Model and k- Nearest Neighbors classifier.
References
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Book

Introduction to Artificial Intelligence

TL;DR: In this article, an introduction to artificial intelligence is presented, including reasoning under uncertainty, robot plans, language understanding, and learning, and the history of the field as well as intellectual ties to related disciplines are presented.
Journal ArticleDOI

Three-dimensional object recognition

TL;DR: In this paper, a precise definition of the 3D object recognition problem is proposed, and basic concepts associated with this problem are discussed, and a review of relevant literature is provided.
Book

Explanatory coherence

Paul Thagard
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.
Book

Abductive Inference Models for Diagnostic Problem-Solving

TL;DR: This paper presents a meta-model for parallel processing for Diagnostic Problem-Solving using the probabilistic Causal Model and a parallel processing model based on the Parsimonious Covering Theory.