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Articles 1 - 2 of 2
Full-Text Articles in Other Computer Engineering
Face Image And Video Analysis In Biometrics And Health Applications, Na Zhang
Face Image And Video Analysis In Biometrics And Health Applications, Na Zhang
Graduate Theses, Dissertations, and Problem Reports
Computer Vision (CV) enables computers and systems to derive meaningful information from acquired visual inputs, such as images and videos, and make decisions based on the extracted information. Its goal is to acquire, process, analyze, and understand the information by developing a theoretical and algorithmic model. Biometrics are distinctive and measurable human characteristics used to label or describe individuals by combining computer vision with knowledge of human physiology (e.g., face, iris, fingerprint) and behavior (e.g., gait, gaze, voice). Face is one of the most informative biometric traits. Many studies have investigated the human face from the perspectives of various different …
Face Representation Learning And Its Applications: From Image Editing To 3d Avatar Animation, Xudong Liu
Face Representation Learning And Its Applications: From Image Editing To 3d Avatar Animation, Xudong Liu
Graduate Theses, Dissertations, and Problem Reports
Face representation learning is one of the most popular research topics in the computer vision community, as it is the foundation of face recognition and face image generation. Numerous representation learning frameworks have been integrated into applications in daily life, such as face recognition, image editing, and face tracking. Researchers have developed advanced algorithms for face recognition with successful commercial productions, for example, FaceID on the smartphone. The performance record on face recognition is constantly updated and becoming saturated with the help of large-scale datasets and advanced computational resources. Thanks to the robust representation in face recognition, in this dissertation, …