Output details
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
Title of journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Article number
-
Volume number
33
Issue number
2
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
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-