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Journal ArticleDOI

Indexing for local appearance-based recognition of planar objects

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TLDR
An optimal feature extraction technique that selects only the salient features of an object that exploits the fact that features tend to form clusters in the feature space based on their similarity of appearances is proposed.
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This article is published in Pattern Recognition Letters.The article was published on 2002-01-01. It has received 3 citations till now. The article focuses on the topics: Feature (computer vision) & Feature extraction.

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Citations
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Patent

Image processing system, learning device and method, and program

TL;DR: In this paper, the authors presented an image processing system, a learning device and a method, and a program capable of easily extracting a characteristic amount used for recognition processing. But this method was not applied to a robot.
Patent

画像処理システム、学習装置および方法、並びにプログラム

TL;DR: In this article, the authors propose a method to improve the quality of the data collected by the data collection system by using the information gathered from the sensor nodes of the sensor board.
References
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Journal ArticleDOI

Color indexing

TL;DR: In this paper, color histograms of multicolored objects provide a robust, efficient cue for indexing into a large database of models, and they can differentiate among a large number of objects.
Proceedings ArticleDOI

Face recognition using eigenfaces

TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal ArticleDOI

Visual learning and recognition of 3-D objects from appearance

TL;DR: A near real-time recognition system with 20 complex objects in the database has been developed and a compact representation of object appearance is proposed that is parametrized by pose and illumination.
Journal ArticleDOI

Color constant color indexing

TL;DR: Results of tests with the new color-constant-color-indexing algorithm show that it works very well even when the illumination varies spatially in its intensity and color, which circumvents the need for color constancy preprocessing.
Journal ArticleDOI

Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects

TL;DR: A method for recognizing partially occluded objects for bin-picking tasks using eigenspace analysis, referred to as the "eigen window" method, that stores multiple partial appearances of an object in an eIGenspace to reduce memory requirements.
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