Results 21 to 30 of about 3,916 (248)
Kernelized Heterogeneity-Aware Cross-View Face Recognition
Frontiers in Artificial Intelligence, 2021 Cross-view or heterogeneous face matching involves comparing two different views of the face modality such as two different spectrums or resolutions. In this research, we present two heterogeneity-aware subspace techniques, heterogeneous discriminant ...
Tejas I. Dhamecha +3 more
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A Decision Support System for Face Sketch Synthesis Using Deep Learning and Artificial Intelligence
Sensors, 2021 The recent development in the area of IoT technologies is likely to be implemented extensively in the next decade. There is a great increase in the crime rate, and the handling officers are responsible for dealing with a broad range of cyber and Internet
Irfan Azhar +4 more
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Sketch based face recognition: Forensic vs. composite sketches [PDF]
2013 International Conference on Biometrics (ICB), 2013 Facial sketches are widely used by law enforcement agencies to assist in the identification and apprehension of suspects involved in criminal activities. Sketches used in forensic investigations are either drawn by forensic artists (forensic sketches) or created with computer software (composite sketches) following the verbal description provided by an
Scott Klum +3 more
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Improving Face Sketch Recognition via Adversarial Sketch-Photo Transformation [PDF]
2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019 feature learning [7]-[10]. The benefit of the former category relates to the conversion of sketches into the same modality as photos, and hence lies in the ability to utilize existing photo-based face recognition methods. Thus, the applicability of the existing photo-based face recognition algorithms can be greatly expanded.
Yu, Shikang +4 more
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Heterogeneous Face Recognition from Facial Sketches
Informatica, 2021 This paper presents a short summary of a dissertation thesis. The thesis presents a novel approach named X-Bridge for image-to-sketch translation for automatic heterogeneous face recognition. X-Bridge is based on a conditional adversarial network with an additional reconstruction path and a shared-latent space assumption between the original and the ...
Ivan Gruber +2 more
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Forensic Face Sketch Construction and Recognition
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: In forensic science, it is seen that hand-drawn face sketches are still very limited and time consuming when it comes to using them with the latest technologies used for recognition and identification of criminals. In this paper, we present a standalone application which would allow users to create composites face sketch of the suspect ...
Ashutosh Patil +3 more
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Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes
IEEE Access, 2018 Recognizing or retrieve a face based on its sketch-photo similarity has important applications in law enforcement and public security. While many existing methods focus on recognizing facial sketch from image-based queries, this setting has the major ...
Xinzhe Li +4 more
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Heterogeneous face detection based on multi‐task cascaded convolutional neural network
IET Image Processing, 2022 Facial target detection is an important task in computer vision. Because heterogeneous face detection shows broad prospects, it has attracted extensive attention from the academic community.
XianBen Yang, Wei Zhang
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Sharing Experiences in Infancy: From Primary Intersubjectivity to Shared Intentionality
Frontiers in Psychology, 2021 We contrast two theses that make different assumptions about the developmental onset of human-unique sociality. The primary intersubjectivity thesis (PIT) argues that humans relate to each other in distinct ways from the beginning of life, as is shown by
Henrike Moll +3 more
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SP-Net: A Novel Framework to Identify Composite Sketch
IEEE Access, 2019 Identifying composite sketches with digital face photos is an important and challenging task for law enforcement agencies. It has attracted a wide research interest in the face recognition area. In this paper, we present a novel framework that identifies
Hamid Cheraghi, Hyo Jong Lee
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