en
Proceedings chapter
Open access
English

Local active content fingerprint: solutions for general linear feature maps

Presented at Cancun (Mexico), 4-8 December 2016
Publication date2016
Abstract

This paper presents solutions to the local patch based Active Content Fingerprint (aCFP) with linear modulation, general linear feature map and convex constraints on the properties of the local feature descriptor. A direct approximation of the linear feature map such that the image distortion is as small as possible and the approximate linear feature map is as close as possible to the original map is proposed. Then an explicit regularization of the trade-off between the modulation distortion and the robustness of the local feature is introduced trough a novel problem formulation. A computer simulation using local image patches, extracted from publicly available data set is provided, demonstrating the advantages under: additive white Gaussian noise (AWGN), lossy JPEG compression and projective geometrical transform distortions.

Citation (ISO format)
KOSTADINOV, Dimche et al. Local active content fingerprint: solutions for general linear feature maps. In: International Conference on Pattern recognition, ICPR 2016. Cancun (Mexico). [s.l.] : [s.n.], 2016. p. 6.
Main files (1)
Proceedings chapter (Published version)
accessLevelPublic
Identifiers
  • PID : unige:145448
133views
86downloads

Technical informations

Creation10/14/2020 3:39:00 PM
First validation10/14/2020 3:39:00 PM
Update time03/15/2023 11:35:14 PM
Status update03/15/2023 11:35:14 PM
Last indexation01/17/2024 11:45:42 AM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack