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Object Detection And Classification In The Visible And Infrared Spectrums, Domenick D. Poster
Object Detection And Classification In The Visible And Infrared Spectrums, Domenick D. Poster
Graduate Theses, Dissertations, and Problem Reports
The over-arching theme of this dissertation is the development of automated detection and/or classification systems for challenging infrared scenarios. The six works presented herein can be categorized into four problem scenarios. In the first scenario, long-distance detection and classification of vehicles in thermal imagery, a custom convolutional network architecture is proposed for small thermal target detection. For the second scenario, thermal face landmark detection and thermal cross-spectral face verification, a publicly-available visible and thermal face dataset is introduced, along with benchmark results for several landmark detection and face verification algorithms. Furthermore, a novel visible-to-thermal transfer learning algorithm for face landmark …
Deep Face Morph Detection Based On Wavelet Decomposition, Poorya Aghdaie
Deep Face Morph Detection Based On Wavelet Decomposition, Poorya Aghdaie
Graduate Theses, Dissertations, and Problem Reports
Morphed face images are maliciously used by criminals to circumvent the official process for receiving a passport where a look-alike accomplice embarks on requesting a passport. Morphed images are either synthesized by alpha-blending or generative networks such as Generative Adversarial Networks (GAN). Detecting morphed images is one of the fundamental problems associated with border control scenarios. Deep Neural Networks (DNN) have emerged as a promising solution for a myriad of applications such as face recognition, face verification, fake image detection, and so forth. The Biometrics communities have leveraged DNN to tackle fundamental problems such as morphed face detection. In this …