TY - GEN
T1 - A comparison of feature detectors with passive and task-based visual saliency
AU - Harding, Patrick
AU - Robertson, Neil M.
PY - 2009
Y1 - 2009
N2 - This paper investigates the coincidence between six interest point detection methods (SIFT, MSER, Harris-Laplace, SURF, FAST & Kadir-Brady Saliency) with two robust "bottom-up" models of visual saliency (Itti and Harel) as well as "task" salient surfaces derived from observer eye-tracking data. Comprehensive statistics for all detectors vs. saliency models are presented in the presence and absence of a visual search task. It is found that SURF interest-points generate the highest coincidence with saliency and the overlap is superior by 15% for the SURF detector compared to other features. The overlap of image features with task saliency is found to be also distributed towards the salient regions. However the introduction of a specific search task creates high ambiguity in knowing how attention is shifted. It is found that the Kadir-Brady interest point is more resilient to this shift but is the least coincident overall. © 2009 Springer Berlin Heidelberg.
AB - This paper investigates the coincidence between six interest point detection methods (SIFT, MSER, Harris-Laplace, SURF, FAST & Kadir-Brady Saliency) with two robust "bottom-up" models of visual saliency (Itti and Harel) as well as "task" salient surfaces derived from observer eye-tracking data. Comprehensive statistics for all detectors vs. saliency models are presented in the presence and absence of a visual search task. It is found that SURF interest-points generate the highest coincidence with saliency and the overlap is superior by 15% for the SURF detector compared to other features. The overlap of image features with task saliency is found to be also distributed towards the salient regions. However the introduction of a specific search task creates high ambiguity in knowing how attention is shifted. It is found that the Kadir-Brady interest point is more resilient to this shift but is the least coincident overall. © 2009 Springer Berlin Heidelberg.
U2 - 10.1007/978-3-642-02230-2_73
DO - 10.1007/978-3-642-02230-2_73
M3 - Conference contribution
SN - 3642022294
SN - 9783642022296
VL - 5575 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 716
EP - 725
BT - Image Analysis - 16th Scandinavian Conference, SCIA 2009, Proceedings
T2 - 16th Scandinavian Conference on Image Analysis
Y2 - 15 June 2009 through 18 June 2009
ER -