DAEDALUS at ImageCLEF 2011 Plant Identification Task: Using SIFT Keypoints for Object Detection

Villena Román, Julio and Lana Serrano, Sara and González Cristóbal, José Carlos (2011). DAEDALUS at ImageCLEF 2011 Plant Identification Task: Using SIFT Keypoints for Object Detection. In: "CLEF 2011 Labs and Workshop, Notebook Papers", 19/09/2011 - 22/09/2011, Amsterdam, Holanda. pp. 26-32.

Description

Title: DAEDALUS at ImageCLEF 2011 Plant Identification Task: Using SIFT Keypoints for Object Detection
Author/s:
  • Villena Román, Julio
  • Lana Serrano, Sara
  • González Cristóbal, José Carlos
Item Type: Presentation at Congress or Conference (Article)
Event Title: CLEF 2011 Labs and Workshop, Notebook Papers
Event Dates: 19/09/2011 - 22/09/2011
Event Location: Amsterdam, Holanda
Title of Book: Proceedings of CLEF 2011 Labs and Workshop, Notebook Papers
Date: 2011
Subjects:
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Ingeniería y Arquitecturas Telemáticas [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper describes the participation of DAEDALUS at ImageCLEF 2011 Plant Identification task. The task is evaluated as a supervised classification problem over 71 tree species from the French Mediterranean area used as class labels, based on visual content from scan, scan-like and natural photo images. Our approach to this task is to build a classifier based on the detection of keypoints from the images extracted using Lowe’s Scale Invariant Feature Transform (SIFT) algorithm. Although our overall classification score is very low as compared to other participant groups, the main conclusion that can be drawn is that SIFT keypoints seem to work significantly better for photos than for the other image types, so our approach may be a feasible strategy for the classification of this kind of visual content.

More information

Item ID: 13317
DC Identifier: http://oa.upm.es/13317/
OAI Identifier: oai:oa.upm.es:13317
Deposited by: Memoria Investigacion
Deposited on: 28 Nov 2012 09:48
Last Modified: 21 Apr 2016 12:37
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