Title Statements

  • Full title :Deep learning in biometrics / edited by Mayank Vatsa, Richa Singh, and Angshul Majumdar.

Edition Statements

  • Publication Date:2018

Publication Statements

  • Publisher(s):CRC Press
  • Place of Publication:Boca Raton, FL
  • Language:eng
  • Publication Date:2018

The Physical Object

  • Description:xii, 316 pages ; : 24 cm

Edition Identifiers

  • ISBN:9781138578234, 1138578231
  • oclc:on1000304984
  • LC Classification:TK7882.B56
  • Dewey Decimal:570.1/5195

Table of Contents

Deep learning : fundamentals and beyond / Shruti Nagpal, Maneet Singh, Mayank Vatsa, and Richa Singh -- Unconstrained face identification and verification using deep convolutional features / Jun-Cheng Chen, Rajeev Ranjan, Vishal M. Patel, Carlos D. Castillo, and Rama Chellappa -- Deep Siamese convolutional neural networks for identical twins and look-alike identification / Xiaoxia Sun, Amirsina Torfi, and Nasser Nasrabadi -- Tackling the optimization and precision weakness of deep cascaded regression for facial key-point localization / Yuhang Wu, Shishir K. Shah, and Ioannis A. Kakadiaris -- Learning deep metrics for person re-identification / Hailin Shi, Shengcai Liao, Dong Yi, and Stan Z. Li -- Deep face representation learning for kinship verification / Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, and Afzel Noore -- What's hiding in my deep features? / Ethan M. Rudd, Manuel Gunther, Akshay R. Dhamija, Faris A. Kateb, and Terrance E. Boult -- Stacked correlation filters / Jonathon M. Smereka, Vishnu Naresh Boddeti, and B.V.K. Vijaya Kumar -- Learning representations for unconstrained fingerprint recognition / Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, and Richa Sin…

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