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Direction-Based Segmentation of Retinal Blood Vessels Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Face Composite Sketch Recognition by BoVW-Based Discriminative Representations

Authors : Yenisel Plasencia-Calaña, Heydi Méndez-Vázquez, Rainer Larin Fonseca

Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Publisher: Springer International Publishing

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Abstract

Face sketches are one of the main sources used for criminal investigation. In this paper, we propose a new approach for the recognition of facial composite sketches. We propose the use of discriminative representations as a way to bridge the modality gap between sketches and mug-shot photos. The intermediate representation is based on the bag-of-visual-words (BoVW) approach using dense SIFT features on multiple scales. Next, a discriminative representation is computed on top of the intermediate representation. Experimental results show that the discriminative representations outperform state-of-the-art approaches for this task in composite sketch datasets for both a close-set scenario as well as an open-set recognition scenario.

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Metadata
Title
Face Composite Sketch Recognition by BoVW-Based Discriminative Representations
Authors
Yenisel Plasencia-Calaña
Heydi Méndez-Vázquez
Rainer Larin Fonseca
Copyright Year
2017
Book
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Print ISBN: 978-3-319-52276-0

Electronic ISBN: 978-3-319-52277-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-52277-7_25

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