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A. N. Rajagopalan
Researcher at Indian Institute of Technology Madras
Publications - 216
Citations - 5559
A. N. Rajagopalan is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Image restoration & Motion blur. The author has an hindex of 33, co-authored 199 publications receiving 4537 citations. Previous affiliations of A. N. Rajagopalan include University of Maryland, College Park & Technische Universität München.
Papers
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Journal ArticleDOI
Identification of humans using gait
Amit Kale,Aravind Sundaresan,A. N. Rajagopalan,Naresh P. Cuntoor,Amit K. Roy-Chowdhury,Volker Krüger,Rama Chellappa +6 more
TL;DR: A view-based approach to recognize humans from their gait by employing a hidden Markov model (HMM) and the statistical nature of the HMM lends overall robustness to representation and recognition.
Book
Depth From Defocus: A Real Aperture Imaging Approach
TL;DR: A Partial Derivatives of Various Quantities in CRB, a MAP-MRF approach to Depth Recovery and Restoration using MRF Models.
Book ChapterDOI
Gait analysis for human identification
TL;DR: The dynamic time-warping (DTW) approach is used for matching so that non-linear time normalization may be used to deal with the naturally-occuring changes in walking speed.
Proceedings ArticleDOI
Gait-based recognition of humans using continuous HMMs
TL;DR: This paper proposes a view-based approach to recognize humans through gait using a continuous hidden Markov model that serves to compactly capture structural and transitional features that are unique to an individual.
Proceedings ArticleDOI
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring
TL;DR: This work proposes an efficient pixel adaptive and feature attentive design for handling large blur variations across different spatial locations and proposes an effective content-aware global-local filtering module that significantly improves performance by considering not only global dependencies but also by dynamically exploiting neighboring pixel information.