Fellow of the Indian National Academy of Engineering (INAE)
A. N. Rajagopalan works mostly in the field of Signature (topology), limiting it down to topics relating to Geometry and, in certain cases, Line (geometry), as a part of the same area of interest. He performs integrative study on Line (geometry) and Geometry. His work is dedicated to discovering how Discontinuity (linguistics), Mathematical analysis are connected with Smoothness and other disciplines. In his work, A. N. Rajagopalan performs multidisciplinary research in Smoothness and Mathematical analysis. His research on Artificial intelligence frequently links to adjacent areas such as Image warping. In most of his Computer vision studies, his work intersects topics such as Depth map. His Pattern recognition (psychology) study frequently draws connections to adjacent fields such as Facial recognition system. His study ties his expertise on Pattern recognition (psychology) together with the subject of Facial recognition system. A. N. Rajagopalan performs integrative study on Image processing and Image restoration in his works.
Artificial intelligence is frequently linked to Image resolution in his study. His Computer vision study frequently involves adjacent topics like Filter (signal processing). Many of his studies on Image (mathematics) involve topics that are commonly interrelated, such as Noise (video). His work on Image (mathematics) expands to the thematically related Noise (video). In his work, he performs multidisciplinary research in Image processing and Image restoration. He combines Image restoration and Image processing in his studies. With his scientific publications, his incorporates both Algorithm and Artificial intelligence. A. N. Rajagopalan conducted interdisciplinary study in his works that combined Optics and Focus (optics). He performs integrative study on Focus (optics) and Optics.
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Identification of humans using gait
A. Kale;A. Sundaresan;A.N. Rajagopalan;N.P. Cuntoor.
IEEE Transactions on Image Processing (2004)
Gait analysis for human identification
A. Kale;N. Cuntoor;B. Yegnanarayana;A. N. Rajagopalan.
Lecture Notes in Computer Science (2003)
Depth From Defocus: A Real Aperture Imaging Approach
Subhasis Chaudhuri;A. N. Rajagopalan;Alex Paul Pentland.
Gait-based recognition of humans using continuous HMMs
A. Kale;A.N. Rajagopalan;N. Cuntoor;V. Kruger.
ieee international conference on automatic face and gesture recognition (2002)
Off-line signature verification using DTW
A. Piyush Shanker;A. N. Rajagopalan.
Pattern Recognition Letters (2007)
Super-Resolution of Face Images Using Kernel PCA-Based Prior
Ayan Chakrabarti;A.N. Rajagopalan;Rama Chellappa.
IEEE Transactions on Multimedia (2007)
Depth estimation and image restoration using defocused stereo pairs
A.N. Rajagopalan;S. Chaudhuri;Uma Mudenagudi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)
Finding faces in photographs
A.N. Rajagopalan;K.S. Kumar;J. Karlekar;R. Manivasakan.
international conference on computer vision (1998)
Superresolution of License Plates in Real Traffic Videos
K.V. Suresh;G.M. Kumar;A.N. Rajagopalan.
IEEE Transactions on Intelligent Transportation Systems (2007)
An MRF model-based approach to simultaneous recovery of depth and restoration from defocused images
A.N. Rajagopalan;S. Chaudhuri.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)
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