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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/21734
Title: CARTOONNET: Caricature Recognition of Public Figures
Authors: Shukla P.
Gupta T.
Singh P.
Raman, Balasubramanian
Chaudhuri B.B.
Chaudhuri B.B.
Nakagawa M.
Khanna P.
Kumar S.
Published in: Advances in Intelligent Systems and Computing
3rd International Conference on Computer Vision and Image Processing, CVIP 2018
Abstract: Recognizing faces in the cartoon domain is a challenging problem since the facial features of cartoon caricatures of the same class vary a lot from each other. The aim of this project is to develop a system for recognizing cartoon caricatures of public figures. The proposed approach is based on the Deep Convolutional Neural Networks (DCNN) for extracting representations. The model is trained on both real and cartoon domain representations of a given public figure, in order to compensate the variations in the same class. The IIIT-CFW (Mishra et al., European conference on computer vision, 2016) [1] dataset, which includes caricatures of public figures, is used for the experiments. It is seen from these experiments that improving the performance of the model can be achieved when it is trained on representations from both real and cartoon images of the given public figure. For a total of 86 different classes, an overall accuracy of 79.65% is achieved with this model. © 2020, Springer Nature Singapore Pte Ltd.
Citation: Advances in Intelligent Systems and Computing (2020), 1022 AISC: 1-10
URI: https://doi.org/10.1007/978-981-32-9088-4_1
http://repository.iitr.ac.in/handle/123456789/21734
Issue Date: 2020
Publisher: Springer Science and Business Media Deutschland GmbH
Keywords: Cartoon recognition
Convolutional Neural Networks
Deep Learning
Face recognition
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 57189354558
55586384400
57212313896
23135470700
Author Affiliations: Shukla, P., University of California, Santa Barbara, United States
Gupta, T., Indian Institute of Technology Roorkee, Roorkee, India
Singh, P., Indian Institute of Technology Roorkee, Roorkee, India
Raman, B., Indian Institute of Technology Roorkee, Roorkee, India
Corresponding Author: Shukla, P.; University of CaliforniaUnited States; email: pushkarshukla@umail.ucsb.edu
Appears in Collections:Conference Publications [CS]

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