Eliciting visual primitives for detection of elongated shapes

Abstract: This paper deals with the problem of eliciting visual primitives for visual search with the aim of detecting 2D objects characterized, primarily, by an elongated shape. The paper proposes a new visual primitive obtained by combining in a suitable correlation, a basic set of standard local features. This primitive is able to synthesize the information associated with local features and, as a more effective ensemble of proprieties of the considered model, enhance detection. The paper discusses the approach, presents the new primitive and evaluates its robustness in the case of non-ideal and noisy images. Finally an application to the context of visual inspection is presented.

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