IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Subject "Face recognition"

Browsing Computer Science and Engineering by Subject "Face recognition"

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  • Covariates of face recognition 
    Bhatt, Himanshu S; Singh, Richa; Vatsa, Mayank (2015-01-27)
    Face recognition has found several applications ranging from cross border security, surveillance, access control, multimedia to forensics. Face recognition under variations due to pose, illumination, and expression has ...
  • Cross-spectral cross-resolution face recognition in videos 
    Gupta, Nikita; Gupta, Sanchit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04-24)
    One of the challenging applications in face recognition is video surveillance, where unconstrained low-resolution video data is captured both in day and night time (visible and near-infrared) with multiple subjects in ...
  • Face anti-spoofing via motion magnification and multifeature videolet aggregation 
    Bharadwaj, Samarth; Dhamecha, Tejas I; Vatsa, Mayank; Singh, Richa (2014-06-03)
    For robust face biometrics, a reliable anti-spoofing approach has become an essential pre-requisite against attacks. While spoofing attacks are possible with any biometric modality, face spoofing attacks are relatively ...
  • RGB-D face recognition in surveillance videos 
    Chowdhury, Anurag; Vatsa, Mayank (Advisor) (2016-09-20)
    Biometric analysis of surveillance videos carries inherent challenges in form of variations in pose, distance, illumination and expression. To address these variations, different methodologies are proposed, including ...
  • Trustworthy facial analysis with scarce and biased data 
    Nagpal, Shruti; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2022-09)
    Face is one of the least invasive biometric modalities, and has been used as physical signature to perform person recognition. Face recognition has widespread applicability in various domains such as surveillance, access ...
  • Unraveling representations for face recognition : from handcrafted to deep learning 
    Goswami, Gaurav; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2018-11)
    Automatic face recognition in unconstrained environments is a popular and challenging research problem. With the improvements in recognition algorithms, focus has shifted from addressing various covariates individually to ...

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