Titlebook: Reporting and Publishing Research in the Biomedical Sciences; Peush Sahni,Rakesh Aggarwal Book 2018 The National Medical Journal of India;

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Gitanjali Batmanabaneion further explores the need for algorithms to be generalizable across different datasets and real-life applications, clarifying the need for real-time processing without compromising accuracy..This chapter highlights the importance of controllable and fine-grained privacy measures, emphasizing ada

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Uday C. Ghoshalthe powerful 3D prior and delicate generative designs, our approach could protect the identity naturally, produce high quality details, and is robust to different poses and expressions. Extensive experiments demonstrate that the proposed IDeudemon outperforms previous state-of-the-art methods.

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Nithya Gogtay,Shobna J. Bhatiassifying face standoff distance is crucial in data organization and labeling efforts such as the ones undertaken in biometric data collection. We demonstrate that face image standoff distance classification is possible for large-scale, long-distance datasets and achieves accurate results; this can a

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Philip Abraham periocular data collected from 100 subjects. These subjects are a part of the MILAB-VTF(B) dataset, and we used two images per subject in both the gallery and probe sets. As a part of our study and to establish a baseline, we first crop the binocular and periocular areas from the original face imag

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