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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Surrey

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Article title

Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors

Type

D - Journal article

DOI

10.1109/TPAMI.2010.89

Title of journal

IEEE Transactions on Pattern Analysis and Machine Intelligence

Article number

Volume number

Issue number

First page of article

338

ISSN of journal

0162-8828

Year of publication

2011

URL

Number of additional authors

Additional information

Linear Discriminant Projections (LDP) reduce dimensionality and improve discriminability of local image descriptors. This paper explains how LDP makes descriptors more efficient and how it leads to better performance of computer vision systems. Since its publication this method has been adopted in many applications including image classification, retrieval, matching, structure from motion and robot navigation. Alongside Principal Component Analysis, LDP is now widely-used by researchers in the computer vision community and continues to be researched.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract