S
Sumantra Dutta Roy
Researcher at Indian Institute of Technology Delhi
Publications - 95
Citations - 1213
Sumantra Dutta Roy is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Computer science & Fingerprint (computing). The author has an hindex of 17, co-authored 83 publications receiving 946 citations. Previous affiliations of Sumantra Dutta Roy include Indian Institutes of Technology & STMicroelectronics.
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Active Recognition through Next View Planning: A Survey
TL;DR: This paper surveys important approaches to active 3-D object recognition and reviews existing approaches towards another important application of an active sensor namely, that of scene analysis and interpretation.
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High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning.
TL;DR: It is inferred from the study that a combination of non-motor, CSF and imaging markers may aid in the preclinical diagnosis of PD.
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Automatic classification and prediction models for early Parkinson's disease diagnosis from SPECT imaging
TL;DR: The striatal binding ratio (SBR) values that are calculated from the 123I-Ioflupane SPECT scans are used for developing automatic classification and prediction/prognostic models for early PD and it is inferred that such models have the potential to aid the clinicians in the PD diagnostic process.
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High-Accuracy Classification of Parkinson's Disease Through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging
TL;DR: It is inferred that shape analysis and surface fitting are useful and promising methods for extracting discriminatory features that can be used to develop diagnostic models that might have the potential to help clinicians in the diagnostic process.
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Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker
TL;DR: A novel eigenspace-based framework to model a dynamic hand gesture that incorporates both hand shape as well as trajectory information is presented and encouraging experimental results are shown on a such a representative set.