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Anuj Srivastava
Researcher at Florida State University
Publications - 359
Citations - 14537
Anuj Srivastava is an academic researcher from Florida State University. The author has contributed to research in topics: Shape analysis (digital geometry) & Geodesic. The author has an hindex of 53, co-authored 345 publications receiving 13343 citations. Previous affiliations of Anuj Srivastava include Washington University in St. Louis & National Institute of Standards and Technology.
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Statistical shape analysis: clustering, learning, and testing
TL;DR: This work presents tools for hierarchical clustering of imaged objects according to the shapes of their boundaries, learning of probability models for clusters of shapes, and testing of newly observed shapes under competing probability models.
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Shape Analysis of Elastic Curves in Euclidean Spaces
TL;DR: This paper introduces a square-root velocity (SRV) representation for analyzing shapes of curves in euclidean spaces under an elastic metric and demonstrates a wrapped probability distribution for capturing shapes of planar closed curves.
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On Advances in Statistical Modeling of Natural Images
TL;DR: Some recent results in statistical modeling of natural images that attempt to explain patterns of non-Gaussian behavior of image statistics, i.e. high kurtosis, heavy tails, and sharp central cusps are reviewed.
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Analysis of planar shapes using geodesic paths on shape spaces
TL;DR: This work uses a Fourier basis to represent tangents to the shape spaces and a gradient-based shooting method to solve for the tangent that connects any two shapes via a geodesic.
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Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition
TL;DR: This paper discusses how commonly used parametric models for videos and image sets can be described using the unified framework of Grassmann and Stiefel manifolds, and derives statistical modeling of inter and intraclass variations that respect the geometry of the space.