Riemannian computing in computer vision. (2015)
- Record Type:
- Book
- Title:
- Riemannian computing in computer vision. (2015)
- Main Title:
- Riemannian computing in computer vision
- Further Information:
- Note: Edited by Pavan K. Turaga, Anuj Srivastava.
- Editors:
- Turaga, Pavan
Srivastava, Anuj, 1968- - Contents:
- Riemannian analysis of closed curves and applications in medical imaging.- Human Activity analysis using manifold models of linear dynamical systems.- Pedestrian detection and tracking on tensor manifolds.- Face Recognition using subspaces and Grassmann manifold.- Domain Adaptation using parallel transports on Grassmann manifold.- Kernels on Riemannian Manifolds.- Sparse coding on manifolds and applications to diffusion tensor imaging.- Robust statistics on manifolds and applications to chromatic filtering.- Lighting insensitive face recognition.- Lie-algebraic averaging in Structure from motion problems.- Lie-algebraic methods for Robotic localization problems.- Clustering on Gauss maps for real-time interactive media.- Medical Shape Analysis.- Bayesian Shape Analysis in Images.- Tensor Data Analysis in Medical Imaging.- Trajectories on Manifolds for Activity Recognition.- Data approximation and summarization algorithms on manifolds.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2015
- Copyright Date:
- 2016
- Extent:
- 1 online resource (391 pages)
- Subjects:
- 006.37
Computer vision
Geometry, Riemannian - Languages:
- English
- ISBNs:
- 9783319229577
- Related ISBNs:
- 9783319229560
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.383235
- Ingest File:
- 02_367.xml